TALAT Lecture 1502: Criteria in Material Selection

TALAT Lecture 1502

Criteria in Material Selection
36 pages, 38 figures

Advanced Level I

prepared by: Rolf Sandström, Stockholm

Objectives:

1. To give a background to why, by whom, when and how material selection is
performed
2. To understand the pitfalls of non-systematic approaches
3. To understand the concept of preselection and how it is applied
4. To create an understanding about unbiased selection of materials and how it
is performed
5. To explain discriminating material selection and how it is applied
6. To create an understanding of optimisation in material selection and how it is
applied

Prerequisites:

Elementary background in materials engineering.

Date of Issue: 1994
 EAA – European Aluminium Association

1502 Criteria in Material selection
Table of Contents

1502 Criteria in Material selection 2
1502.01 Introduction to Material Selection 3
The Need for Material Selection 3
Intuitive Methods in Material Selection 4
Basics of Systematic Material Selection 5
Connection to Design 6
General Guidelines for Successful Material Selection 7
Function Specification 8
1502.02 Pre-Selection of Materials 10
Purpose of Pre-Selection 10
Intuitive Approach 11
Systematic Approach 12
Examples for Pre-Selection 14
Base Materials for Pre-Selection 15
1502.03 Discriminating Materials Selection 16
Purpose 16
Prerequisite 17
Formulation of Demands 17
Representation of Property Values 19
Examples of Discriminating Materials Selection 21
1502.04 Optimisation in Material Selection 22
Purpose 22
Semi-Systematic Methods 23
Selection of Materials by Minimising the Materials Cost 25
Value of Weight Savings 32
1502.05 List of Figures 36

TALAT 1502 2

1502.01 Introduction to Material Selection

• The Need for Material Selection
• Intuitive Methods in Material Selection
• Basics of Systematic Material Selection
• Connection to Design
• General Guidelines for Successful Material Selection
• Function Specification
• Practical Example: Car Body Panels

The Need for Material Selection

During the last decades many new materials and material types have been developed. At
present of the order of 100 000 engineering materials exist. In addition many materials
have successively obtained improved properties. This has been possible due to the
development of the materials but also due to the appearance of new production methods.
As a consequence of this rapid development many material types can be used for a given
component. This also applies to situations where one previously only employed one
material for example cast iron in cylinder heads where cast aluminium alloys are also
used now. Another example is body panels in cars where low carbon mild sheet steel is
still the dominating material but many other materials like high strength sheet steels,
aluminium alloys, sheet moulding compounds (SMC), thermoplastics, thermoplastic
elastomers and expanded plastics are used. In fact it is quite a common case that many
entirely different materials can be used to a given part. As a consequence material
selection becomes quite a complex task (see Figure 1502.01.01).

Rapid Development in Material Technology

! Many new materials
! Many new material types
! New manufacturing methods
! Properties of existing materials improved
! Increased use of advanced materials
! Entirely new design configurations feasible
! Increased competition between materials

Materials selection is both critical and complex

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Rapid Development in Material Technology 1502.01.01
Training in Aluminium Application Technologies

TALAT 1502 3

Intuitive Methods in Material Selection

One might imagine that the selection of materials in industrial environments is
performed after detailed analyses and according to systematic procedures. This is
certainly the case in some situations but other types of procedures are dominating. Some
of these common methods are listed in Figure 1502.01.02. The simplest way of
choosing a material is called the first best material. When a new part is to be
developed the designer more or less consciously considers one material he is familiar to.
It can be a carbon steel or a bulk plastic depending on which material type he is mostly
concerned with. When the geometrical modelling of the part is completed it is often
adapted to the material in question and to adjust the chosen material at a later stage is far
less powerful than for a direct systematic analysis.

Intuitive Methods in Material Selection
1. First best material The material is selected among the few materials
the design engineer is familiar with.

2. Same material as for a similar part

3. Problem solving material selection A property has given rise to problems. A new material
is chosen in the same group of material with a higher
value of the property.
4. Searching material selection The designer takes more or less randomly into
account one requirement at the time.

Drawbacks with Intuitive Methods: - Important requirements have often given rise to failures
in operation.
- First solution at hand is taken which is not very likely
to be good solution.
- Unconventional solutions are not considered e.g.
advanced materials are not analysed.
- The solution is typically far from the optimum giving
the part poor competitiveness.

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Intuitive Methods in Material Selection 1502.01.02

A common procedure is to use the same material as for a similar component. This
approach is based on the assumption that a material which works satisfactorily in one
application will do in a similar one. Unfortunately, this is not the case in many
situations. The requirements may be different for example from the environment the
component is exposed to. Still another procedure is problem solving material
selection. The previously employed material does not function well and the property
which has caused the problem is identified. A material in the same group is chosen but
with a higher value for the critical property. In this way one property is improved
without other properties are affected too much. In the method searching material
selection the engineer is aware that he has a problem and that he cannot solve it by
choosing one of the materials he is familiar to. He considers one requirement at the time
and tries to find a material that fulfils the requirements. A lot a of time is usually spent
on the requirement which is assumed to be the most critical one and less attention is
paid to the other ones.

TALAT 1502 4

These non-systematic procedures are referred to as intuitive since they are not based on
systematic analysis. There are some advantages with these methods. More or less
automatically conventional and well established materials that are familiar to the
designer are selected. In this way some unpleasant surprises are avoided. However, the
drawbacks dominate (see Figure 1502.01.02). It is easy to ignore some essential
requirement. All requirements may not be fully taken into account frequently giving rise
to failures in service. Some requirement may also be over emphasised i.e. unnecessarily
expensive materials are chosen to satisfy it. It is very unlikely that new and modern
materials are considered. In summary serious mistakes are frequently made when using
intuitive methods and it is very improbable that the final solution is close to the optimal
cost effective one. As a consequence the solution will typically have poor
competitiveness. Part of the reasons for these problems is that the designer is not aware
of the fact that the material selection has an important influence on the quality and the
value of the final product and therefore warrants considerable time to be spent on the
analysis. Sometimes the design engineer does not even realise that he is choosing a
material.

Basics of Systematic Material Selection

To avoid the drawbacks of intuitive approaches systematic methods must be applied.
Some basic features are summarised in Figure 1502.01.03. The most important motive
why material selection is performed is to ensure that the component functions well i. e.
failures do not occur too frequently. Further reasons are to make full use of the materials
and to obtain cost effective components. In fact minimisation of cost is usually the main
objective in engineering design at the same time as a number of requirements should be
satisfied. Due consideration has also to be taken to the value of weight savings in
transport applications. In special cases other objectives like the maximisation of
performance may be of importance. This will be further discussed in another lecture.

Material Selection Basics
Why - To make full use of the engineereing materials.
- To avoid unnecessarily expensive structures.
- To avoid failures.

When - A new product is developed.
- A product is modified and redesigned.
- Failures have occured.

Who - Design engineers in collaboration with materials engineers.

How - Specify the requirements for the component.
- Transfer the requirements to materials properties.
- Find the material groups that satisfy the specification.
- Find the individual materials that satisfy the specification.
- identify the "best" materials that satisfy the specification.

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Material Selection Basics 1502.01.03

TALAT 1502 5

Material selection can in principle be made during any stage of the life cycle of a
product. However, in practice it is done when the component is first designed or when it
is redesigned. The reason is simply that the introduction of a new material in general
requires the modification of the component geometry. If failures of the part take place it
may be necessary to change the material. Such forced material changes are usually
costly and should be avoided by proper original design. One common mistake is to
ignore material selection when a component is redesigned. Many times even small
geometrical changes make a new material the optimum one.

The design engineer is usually the one who is responsible for a component under
development. This responsibility includes material selection but it is advisable that
collaboration takes place with a material specialist.

How the material selection is performed can be summarised in five steps (see Figure
1502.01.03). These involve the formulation of the function specification of the part,
transfer of the requirements to material properties, analysis of the consequences with
respect to material types and individual materials and finally optimising the choice of
the material and the geometry of the part. The five steps must be performed in the
correct order. The only step which can be missed out is the third one on the selection of
material types. The various steps will be discussed in more detail below in lectures
1502.02 to 1502.04.

Connection to Design

There is always a close connection between material selection, the design configuration
of the part and the manufacturing method. They should be handled together. However, it
is important to recognise that this connection is primarily at the part level (see Figure
1502.01.04). A product consists of components which are in turn made out of one or
more simple parts. A simple part consists of only one material. Material selection is
performed for simple parts. Attempts to select materials for several parts
simultaneously have usually failed due to the mathematical complexity of the problem.
However, if several parts in a component for some reason are to be made out of the
same material this is handled simply by adding this as a separate requirement. Then
these parts can be analysed together as a simple part.

TALAT 1502 6

Connection to Design

Material selection is an integral part of the design process

Levels in design structure
- Simple part: Consists of one material.
- Component: Consists of one or more simple parts.
- Product: Consists of one or more components.

Material selection is generally performed only for simple
parts and not at the component or the product level.

Connection to Design: Material Selection Integral
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1502.01.04
Training in Aluminium Application Technologies Part of the Design Process

General Guidelines for Successful Material Selection

Both simple and more serious errors are frequently made during material selection. A
few guidelines may be helpful to avoid the more common mistakes (see Figure
1502.01.05). It is important to act systematically. A typical material selection problem
involves hundreds of variables and property data points. A non-systematic approach is
bound to fail. All the requirements for the component in question must be formulated
in detail. This is necessary to obtain a well defined problem. A common misconception
in material selection is that component requirements are formulated by someone else.
Although the customer typically defines some requirements, most have to be identified
and worked out in the framework of the problem solving. One should proceed stepwise
(see Figure 1502.01.03) under „How“, and finish one step before the next is entered.
For example optimisation is not meaningful until all previous steps in material selection
are completed. Material selection should be considered as an integrated part of both
the design and the manufacturing processes. As pointed out above the material
selection is generally performed for simple parts, not at the component or the product
level.

General Guidelines for
Succesful Material Selection

" Act systematically. " Formulating conditions for properties,
for which data are not available, is not
" Formulate all the requirements on the meaningful.
component in question in detail.
" Check the consistency of the problem
formulation and solution process by
" A common misconception in material testing materials that are well known to
selection is that component requirements
are formulated by someone else. work in the given application and those
that can be ruled out.
" Proceed stepwise and finish one step,
before the next is entered. " Material selection should be considered
as an integrated part of both the design
" Good knowledge about material property and the manufacturing process.
data is essential in order to formulate
conditions on the properties. " Material selection is generally performed
for simple parts, not at the component
or the product level.

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General Guidelines for Successful Material Selection 1502.01.05
Training in Alum inium App lication Technologies

TALAT 1502 7

Good knowledge about material property data is essential in order to formulate
conditions for the properties. A condition for a technological property like weldability
depends on the data source. Thus the data source must be identified and the content
known to the user before conditions are formulated. Formulating conditions for
properties for which data are not available is not meaningful. These conditions can not
be taken into account in the selection process anyway.

It is essential to check the consistency of the problem formulation and solution
process by testing (1) materials that are well known to work in the given application and
(2) materials that can be ruled out as candidates in the given application. The first set of
materials should remain when optimisation is entered, the second set should have been
eliminated during the discriminating stage.

Function Specification

The first step in every material selection task (and any design case) is to specify the
requirements for the part in terms of geometry, the environment it will be exposed to, as
well as flows and currents that are transmitted (see Figure 1502.01.06).

Function Specification
Specify the following for the part:

# Geometrical quantities that are fixed or allowed to vary, respectively

# Environment - Service temperature range
- Chemical environment
- External mechanical loading cycle spectrum
# Flows and currents

# What is to be optimised - Weight,
- material cost,
- load, or
- deformation, etc.
# Other restrictions or regulations

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First Step: Specification of Functions 1502.01.06

This is usually done by setting up a demand profile for the part. A demand profile can be
considered as a list of the requirements. It has frequently the form of a check list or a
table which is to be filled in. An example of such a check list is given in Figure
1502.01.07.

TALAT 1502 8

Functional Requirements
Performance Basic functions of part, definitions of need
specifications Risk with under-specification: . . . . . . . . . . . Safety classification
Failure probability
Consequences of failure
Consequences of over-specification: Competitive situation
Serviceability: . . . . . . . . . . . . . . . . . . . . . . .Reliability,
maintainability,
availability,
reparability
Design life
Recycling, destruction

Design Restrictions on size, weight or volume
configuration Service temperature range
Chemical environment
External mechanical loading including load cycle spectrum
Flows and currents: . . . . . . . . . . . . . . . . . . .Electric currents
Thermal and other flows
Quantity to be produced
Quantity to be optimised
Other constraints or regulations: . . . . . . . . Maximum costs

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Check List: Functional Requirements 1502.01.07

The performance specifications cover the general requirements for the part such as
basic functions, definitions of need, consequences of under- and over specification,
serviceability and considerations on recycling and destruction. In the design
configuration service conditions are specified, restrictions on geometry, external
mechanical loading, possible flows and currents, etc. It is important to follow some rules
when formulating functional requirements (see Figure 1502.01.08).

• The requirements should be formulated in a way which is independent of the
possible design and material solution(s). The choice of solutions should be a
consequence of the specification, not a reflection of anticipated solutions.

• The requirements should not be formulated in terms of material properties.
Thus for example the external loading should be identified and it should be
specified as forces and momenta but not as stresses.

• All essential requirements must be included.

• The requirements should be formulated in quantitative terms as far as possible.
A vaguely formulated specification usually results in an undefined problem. It
should be recalled that incomplete specifications is a common cause of material
problems.

• Economic requirements are practically always crucial.

• Formulation of the requirements is based on the best information available to
the design engineer and should not be considered as exact knowledge. The
details of the requirements take always a somewhat personal form.

TALAT 1502 9

Formulating Functional Requirements
$ The requirements should be independent of the possible design and material
solution(s). The choice of solution should be a consequence of the specification,
not a reflection of anticipated solutions.

$ The requirements should be expressed in a way which does not involve material
properties. For example: External loadings are given as forces and momenta but
not as stresses.

$ All essential requirements should be included.

$ The requirements should be in quantitative terms.
A vague specification results in an undefined problem,
which is a common cause of material problems.

$ Economic requirements are practically always crucial.

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Formulating Functional Requirements 1502.01.08

1502.02 Pre-Selection of Materials

• Purpose of Pre-Selection
• Intuitive Approach
• Systematic Approach
• Examples for Pre-Selection
• Base Materials for Pre-Selection

Purpose of Pre-Selection

For many reasons it is not suitable to directly select individual materials. Let us take one
example. The weldability of carbon steels, stainless steels, aluminium alloys are
controlled by entirely different mechanisms. This implies that when requirements for
weldability are formulated one must know which type of material is involved. Hence
there must be a process where it is decided which groups can be used. This process is
called pre-selection or sifting of material groups (see Figure 1502.02.01). During
pre-selection the material types which are possible to apply are identified. At the same
time design configurations and manufacturing methods are determined. It is the step in
systematic material selection that follows the formulation of the function specification.
The purpose is to find suitable materials types at an early stage of the design process. In
this way a basic understanding for which groups of candidate materials can be
considered is created and the total effort is limited by eliminating many material types.

TALAT 1502 10

General Principles for
Pre-Selection of Materials
Definition
During pre-selection the material types which are possible to apply are identified.
At the same time design configurations and manufacturing methods are determined.
It is the step in systematic material selection directly following the formulation of
the function specification.

Purpose
It is important to find out the material types that are possible to use for a given
component at an early stage of material selection. There are two main reasons
for this:
- To create a basic understanding for which groups of candidate materials
can be considered.
- The subsequent steps depend on the material types under consideration.
Hence, to limit the total effort one should eliminate as many material types
as possible.

General Principles for
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1502.02.01
Training in Aluminium Application Technologies Pre-Selection of Materials

Intuitive Approach

A simple way of determining whether a material type can be used or not is to consider
its characteristic properties. For aluminium alloys some of these properties are shown in
Figure 1502.02.02. By comparing these with the part specification a general idea can
usually be obtained whether aluminium alloys can be used or not. A slightly better way
is to employ a list of negative conditions like in Figure 1502.02.03 which summarises
when aluminium alloys should not be used.

Characteristic Properties of
Aluminium Alloys
Physical - Low density ~2700 kg/m³
- High electrical conductivity ( ≤ 60% IACS)
- Thermal conductivity
- Very high electrical conductivity per unit cost
- High reflectivity also in infrared light

Mechanical - High specific static strength
- High specific dynamic strength
- Brittle failure no problem at lower strength

Technological - Castable to good tolerances
- Can be rolled to thin gauges
- Good cold formability at low strength
- Many alloys have good extrudability
- Easy to surface treat to decorative nuances
Environmental - Excellent atmospheric corrosion resistance
- Not toxic
Characteristic Properties of
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1502.02.02
Training in Aluminium Application Technologies Aluminium Alloys

TALAT 1502 11

Aluminium Alloys should not be Used
$ If the service temperature exceeds 200°C or if it exceeds 100°C
in combination with significant mechanical loads.

$ If the part is in contact with water or placed underground
for a longer period of time without protection.

$ In solutions with higher or lower pH, since the
protective oxide layer is not intact.
$ When thermal or electric insulation is required.
$ When thermal expansion should be kept low.
$ When strength requirements exceed 500MPa.
$ When fatigue limit requirements exceed 230MPa.
$ When low elastic deflections are anticipated.
$ When wear is expected to be critical.
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Aluminium Alloys should not be Used, If 1502.02.03

Systematic Approach

The intuitive approach has obvious short comings since it does not provide a
quantitative judgement. To avoid those a systematic method should be used. In pre-
selection only a limited number of properties are involved (see Figure 1502.02.04). In
fact only properties where the values are comparable between many types of material
can be considered. The electrical conductivity is one such property. Many other
physical and simple mechanical properties also satisfy this criterion. In addition the
conditions must be similar for different material groups. For some properties like
strength and toughness the property requirements are strongly dependent on the
component geometry. This will be further discussed in section 1502.04. As a
consequence a precise comparison between material types can not be made when they
are associated with different design configurations.

Properties Involved in Pre-Selection
of Material Types
1. Lowest and highest use temperature - Spalling, ageing resistance
- Physical and chemical degradation

2. Environmental resistance - Corrosion resistance
- UV-resistance
- Toxicity

3. Physical properties - Electrical and thermal conductivity
- Density
- Coefficient of thermal expansion

4. Mechanical requirements - Tensile strength
(order of magn.) - Elongation
- Toughness

5. Material price

Properties Involved in Pre-Selection
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1502.02.04
Training in Aluminium Application Technologies of Material Types

TALAT 1502 12

In the function specification the service temperature interval is given. The highest
service temperature must not exceed the maximum use temperature of the material. In
other case ageing and/or some type of break down of the material will take place. For
aluminium alloys the maximum use temperature is of the order 200 - 250 ºC. In the
same way the lowest service temperature must not be below the minimum use
temperature of the material. For most materials the minimum use temperature is
controlled by the risk for brittle failure. The toughness of aluminium alloys is only
mildly temperature dependent due to the face centred cubic structure and many alloys
can be used down to temperatures below -200 ºC. It is convenient to consider both the
maximum and minimum use temperatures as generalised material properties.

If a material is exposed to a chemical environment it strongly limits the materials that
can be applied. Similar limitations exist for plastics in UV-radiation and toxicity for
materials in contact with food. This problem has to be analysed for each chemical.
Aluminium alloys are usually attacked rapidly in solutions with pH <4 or pH >10.

Mechanical loading is usually treated under the optimising part of material selection.
For pre-selection only the order of magnitude is of interest. If the elastic modulus
exceeds 100 GPa polymers or aluminium alloys with few exceptions can not be used. In
this type of analysis one should consider increasing the section size of the part to reduce
the requirements on the elastic modulus to allow other materials to be used. Mechanical
stresses can be handled in the same way.

In most cases the requirements on ductility are material dependent. This applies to
demands on forming during manufacture which are very different for metals and plastics
for example. This type of demand can not be considered during pre-selection. If, on the
other hand, the material is exposed to significant plastic deformation during
manufacture or use, the materials can be screened with respect to the elongation. The
only thing one should recall is that materials with low elastic modulus such as bulk
plastics can take up large pure elastic deflections reducing the requirements on the
elongation value.

If values for the fracture toughness KIc are available they can be employed for pre-
selection. In this way e. g. brittle ceramic materials can be eliminated. On the other, it is
not suitable to use impact toughness values since their interpretation varies with the type
of material. For example impact toughness is of limited practical value for aluminium
alloys.

The material cost always plays an essential role in material selection and equally in pre-
selection. It is important to screen out for example precious metals like gold and
platinum which can only be considered in applications where their special properties are
crucial and someone is prepared to cover the true cost of the material.

TALAT 1502 13

Examples for Pre-Selection

The principles of pre-selection are illustrated in Figure 1502.02.05 for a casserole.
Obviously aluminium alloys satisfy the requirements for availability and manufacturing.
Concerning use properties the corrosion resistance and toxicity limits the application of
aluminium alloys to those without copper.

Example on Pre-Selection: Casserole
Usage Requirements Aluminium alloys feasible
Max. use temperature (>150°C) Yes
Good heat conductivity Yes
Corrosion resistance in household chemicals Yes
Non toxic for Cu-free alloys

Manufacturing
Conventional methods available Spinning, deep drawing
Availability
Low price Yes
Conventional material Yes

Other feasible materials
Pure copper (needs surface treatment), ferritic and austenitic stainless steels, cast irons

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Example on Pre-Selection: Casserole 1502.02.05

For the ladder in Figure 1502.02.06 in the same way Cu-free alloys can be used. With
the given specification glass fibre reinforced polyester (GRP) can not be employed
because of a too low E-modulus. Neither steels nor carbon reinforced epoxy satisfy the
cost requirement.

Example on Pre-Selection: Ladder
Usage requirements Aluminium C-Steel GRP C-fibre
alloys comp.
Max. use temperature (>50°C) Yes Yes Yes Yes
Yield strength (>100°C) Yes Yes Yes Yes
Elastic modulus (>50 GPa) Yes Yes No Yes
Corrosion in atmosphere Yes Must be Yes Yes
painted
Low desnsity Yes Yes Yes Yes

Manufacturing
Conventional methods available Extrusion Poltrusion Winding
Availability
Low price Yes Yes Yes No
Conventional material Yes Yes Yes No

No other feasible engineering materials

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Example on Pre-Selection: Ladder 1502.02.06

In Figure 1502.02.07 a case for a self-supported electric cable is considered. Evidently,
the conventional cable materials aluminium alloys, carbon steel and pure copper can be

TALAT 1502 14

employed. It is important to recognise that in this process there is no way of deciding
which of the material types is the preferable one, nor is it possible to say anything about
individual alloys.

Example on Pre-Selection: Self Support Cable
Usage requirements Aluminium C-Steel Pure Cu
alloys

Max. use temperature (>100°C) Yes Yes Yes
Yield strength (>50MPa) Yes Yes Yes
High electrical conductivity (>30% IACS) Yes Yes Yes
Corrosion in atmosphere Yes Must be Yes
protected

Manufacturing
Wire drawing Yes Yes Yes

Availability
Low price Yes Yes Yes
Conventional material Yes Yes Yes
Product form Wire Wire Wire

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Example on Pre-Selection: Self Support Cable 1502.02.07

Base Materials for Pre-Selection

As pointed out above the purpose of pre-selection is to eliminate unsuitable material
types which do not satisfy requirements on overriding properties. Pre-selection only
considers groups of materials, never individual materials. In this way one avoids
analysing materials that never could have been used anyway. It is also a way to prevent
that important materials are erroneously disregarded in unbiased material selection.

In many applications demands on the properties in Figure 1502.02.04 do not generate
very severe restriction. If for example carbon steels or bulk plastics can successfully be
applied then a more expensive material often does not imply any economic benefit. If
one knows the property which is controlling the dimensions of the component then it is
possible to indicate the material type that should be tried first (see Figure 1502.02.08).

TALAT 1502 15

Base Material for Pre-Selection

Controlling quantity Type of material

Strength Unalloyed steel
Stiffness Unalloyed steel
Volume (geometrical condition) Bulk plastics
Electrical conductivity Al-alloys
Thermal conductivity Al-alloys

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Base Material of Pre-Selection 1502.02.08

1502.03 Discriminating Materials Selection

• Purpose
• Prerequisite
• Formulation of Demands
• Representation of Property Values
• Examples of Discriminating Materials Selection

Purpose

In the function specification a number of requirements on a component is identified.
They have to be transferred to the material to be used. Not all materials satisfy these
requirements. It is the purpose of the sorting stage of materials selection to find out
which materials can be used (Figure 1502.03.01).

TALAT 1502 16

Discriminating Material Selection (Sorting)

Purpose In the function specification a number of requirements on
a component is identified. They have to be transferred to
the material to be used. Not all materials satisfy these
requirements. It is the purpose of the sorting stage of
materials selection to find out which materials can be used.

Prerequisite The pre-selection has been performed and one or more
suitable combinations of design configuration,
material type and manufacturing method have been
identified. If more than one combination is to be analysed
the sorting stage has to be repeated for each one.
The reason is that the transfer of the function specification
to requirements on properties can not otherwise be done
in a well defined way.

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Discriminating Material Selection (Sorting) 1502.03.01

Prerequisite

The pre-selection has been performed and one or more suitable combinations of design
configuration, material type and manufacturing method have been identified. If
more than one combination is to be analysed the sorting stage has to be repeated for
each one. The reason is that the transfer of the function specification to requirements on
properties can not otherwise be done in a well defined way.

Formulation of Demands

In material selection requirements for many properties are specified as minimum or
maximum values. Mathematically this can be expressed as (Figure 1502.03.02).

Demands on Material Properties
Discriminating Demands:
During sorting the requirements on properties are in general expressed
in the simple form
Ei ≥ Ei
_
Ei ≤ Ei
_
Ei is the value of the i-th property. Ei and Ei are upper and lower limits
on property i.
If an improvement of the property corresponds to an increase in the value
the demand is usually expressed as a minimum value and vice versa.
Writing the demands in the above form implies that the condition
must be strictly satisfied.
This is referred to as a discriminating requirement since only materials
satisfying the condition can be considered further in the analysis.

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Demands on Material Properties 1502.03.02

TALAT 1502 17

Ei ≥ E i (1a)

Ei ≤ Ei (1b)

Ei is the value of the i-th property. E i and E i are upper and lower limits of property i. If
an improvement of the property corresponds to an increase in the value the demand is
usually expressed as a minimum value (1a) and vice versa (1b).

Writing demands in the form of Eq. (1) implies that the condition must be strictly
satisfied. This is referred to as a discriminating requirement since only materials
satisfying the condition can be considered further in the analysis. If it is just desirable
that the property has a good value this is expressed in other ways.

The weldability must be above a certain lower level in order that one component can be
joined to another one. The corrosion resistance must have a minimum value to give a
component a sufficient lifetime in an aggressive environment. A given material can not
be used independently of how good the other properties are if the corrosion resistance is
not adequate. In another example the heat flow through the component should not be too
large, which yields a criterion that the thermal conductivity may not exceed a certain
value. For a given application of this kind the number of requirements is typically
between 5 and 20. As a consequence a large amount of data must be available for many
properties for successful selection (see Figure 1502.03.03). The use of material
databases is important in this respect. Some important data sources are listed in Figure
1502.03.03.

Requirements for Materials Selection
Data for many materials
Data for many properties
Accurate property data

Traditional sources of continued importance but not adequate for modern demands
Access to materials databanks essential

Examples of Sources of Engineering Data for Aluminium Alloys

Material databases - Metals datafile (Institute of materials)
- MAT. DB (ASM, Ohio)
- ALUSELECT (European Aluminium Association, Brussels)
- MAterials Technology EDucation System (MATEDS),
(Skan Aluminium, Oslo)

Handbooks - Aluminium Taschenbuch (Aluminium-Verlag, Düsseldorf)
- Metals Handbook (ASM, Ohio)

alu

Sources of Material Specification 1502.03.03

TALAT 1502 18

To find the maximum and minimum requirements E i and E i the function specification
is transferred to property values. Formulating this material specification involves the
steps shown in Figure 1502.03.04

Material Specification

1) Identify materials properties of relevance for the
function specification.

2) Find sources for the corresponding property data.

3) Use 1) and 2) to transfer the function specifications
to requirements on properties.

alu
Steps in Material Specification 1502.03.04

This process is illustrated in Figure 1502.03.05. For many properties this transfer is
straight forward. Sometimes it is, however, a fairly complex task but that case will not
be dealt with here.

Relation between
Specification and Materials Properties
Type of specification Examples of properties involved

Environment Service temperature range Max. and min. usage temperature
Chemical environment Corrosion resistance
External mechanical loading E-modulus, Yield strength,
fatigue limit

Flows and currents Electric currents
Thermal and other flows Electrical conductivity
Thermal conductivity, reflectivity,
transperency
Contact Tolerances
Wear Coefficient of thermal expansion
Wear resistance
Manufacturing Processing
Forming Extrudability
Working Bendability, drawability
Joining Machinability
Surface treatment Weldability
Anodising

Relation between
alu
1502.03.05
Training in Aluminium Application Technologies Specification and Materials Properties

Representation of Property Values

The properties that give rise to requirements in the form of Eqs. (1a) and (1b) are called
discriminating since they are only of importance for deciding whether a material can be

TALAT 1502 19

considered or not. The properties are divided into three groups depending on whether
they are of relevance for the use, manufacturing and availability. Corrosion and wear
resistance are examples of use properties. Machinability and weldability belong to the
manufacturing group and the material price describes availability.

Many technological properties can be considered as discriminating. Examples of
technological properties are given in Figure 1502.03.06.

Values of technological properties are frequently given as index. In the databases
ALUSELECT and MATEDS the indices are defined as in Figure 1502.03.07.

Examples of Technological Properties

$ Use properties
(properties of relevance for the use of materials)
Corrosion resistance
Wear resistance

$ Manufacturing properties
(properties of relevance for the manufacturing of materials)

Anodising Formability Weldability
Bright Deep drawability Electron beam weldability
Decorative Stretch formability Shielded arc weldability
Protective Machinability Spot weldability
Castability Solderability

alu
Examples of Technological Properties 1502.03.06

Representation of Property Values
Mechanical and Numerical values in the conventional way
physical properties

Technical properties Representation with indices. In ALUSELECT and MATEDS
the indices takes values from 1 to 7 where 7 is best:

7. Exceptionally high value, frequently the result of special
development (cf. machinability of free cutting alloys).
6. Excellent value. The material can normally be used
without problems.
5. Very good value. Normal demand level if the property is
of considerable importance.
4. Good value. Normal demand level if the property
is of some importance.
3. Unsatisfactory value. The use of material with index 3
should be avoided unless special precautions are taken.
2. Low value. The use of material with the index 2
should be avoided.
1. Property is not defined for the material in question.
Discriminating Property Values for
alu
1502.03.07
Training in Aluminium Application Technologies Technological Properties

TALAT 1502 20

Examples of Discriminating Materials Selection

Examples of formulation of property demands are given for a car bumper (see Figure
1502.03.08) and an electric transmission cable (see Figure 1502.03.09). Both examples
are much simplified for pedagogical reasons.

Requirements for Car Bumper in Aluminium
Specification
Availability: The alloy must be available in the form of
extruded profile.

Manufacturing: The cold formability must exceed a minimum value,
index ≥4 (2-7, 7 best) (or elongation > 5%).
It should be possible to apply protective anodising,
index ≥4 (2-7, 7 best).

Strength: Yield strength ≥400 MPa.

Corrosion: The corrosion resistance in air must be good,
index ≥5.

alu Example: Requirements for Car Bumper
Training in Aluminium Application Technologies in Aluminium 1502.03.08

Self-Supported Electric Transmission Cable

Specification
Availability: The alloy must be available in the form of wire.

Manufacturing: The cold formability must exceed a minimum value,
index ≤4 (2-7, 7 best).

Strength: Tensile strength ≥100MPa.

Corrosion: The corrosion resistance in air must be good, index ≥5.
The stress corrosion resistance in air must be good, index ≥5.

Conductivity: The electric conductivity must exceed a minimum value ≥55% IACS.

Example: Self-Supported Electric
alu
1502.03.09
Training in Aluminium Application Technologies Transmission Cable

TALAT 1502 21

Factors which prevent the Optimum
Material to be Selected
Lack of Information - Service conditions
- Material properties
- Production costs

No Availability - Material
- Production resources

Lack of Competence - Use of new materials
- Material selection methodology

Lack of Time to Test New Materials

Requirements on - Rationalising of materials over several
products
- Market trends (fashion, appearance)

alu
Limits to Optimum Material Selection 1502.03.10

There are many reasons why material selection can not be performed with full precision
(see Figure 1502.03.10). The exact choice of demands depends on the industrial
situation. In particular the manufacturing properties and availability must be considered
in this perspective. As a first hand alternative materials in stock at the company are
used. In addition materials for which a good experience is at hand are chosen. Often
special requirements appear that give rise to additional demands. The practical way of
handling lists of demands is to start with the most critical ones in order to reduce the
total number of materials as rapidly as possible.

1502.04 Optimisation in Material Selection

• Purpose
• Semi-Systematic Methods
• Selection of Materials by Minimising the Material Costs
• Value of Weight Savings

Purpose

After the discrimination stage a large number of materials typically remain which satisfy
all the requirements on discriminating properties. The procedure to find the best one(s)
of these is referred to as optimisation. A target (objective) function is chosen which is
minimised or maximised.

TALAT 1502 22

Sums of Weighted Property Values
Properties for which it is desirable to have good values can be
included in a weighted sum Wlin.. which should be maximised.

αE
MaxW = ∑ i i where Ei is the value of the property i.
lin i R Ri is the reference value
i
αi is the weight factor

It is convenient to make the following assumption:

∑ αi =1
i
For some of the properties there are discriminating demands

E ≥ Ei
i
E ≤E
i i
Ei and Ei are upper and lower limits on property i.

alu
Maximizing Weighted Property Values 1502.04.01

Semi-Systematic Methods

There is a number of procedures that involve weighting of property values to find a
suitable material. In the methods a mathematical expression in terms of properties is
used which is maximised. Since a mathematical formula is employed the methods can
give the impression that a high precision is involved. This is however typically not the
case. Two methods will be discussed here. It is important to understand the limitations
of the methods and to know how to reduce these limitations.

According to the procedure linear weighting of property values materials are chosen
in such a way that the following sum is maximised (Figure 1502.04.01).

α i ⋅ Ei
Max Wlin = ∑i Ri
(1)

where ∑ αi =1 (2)
i

αi are weight factors with a sum of the absolute values equal to unity according to
Eq. (2). The weight factors have no dimension. The weight factor is positive (α > 0) if it
i
is valuable that the property value increases and negative (α < 0) if it is
i
disadvantageous. For a cable there is a benefit with a high electrical conductivity and
consequently αi > 0. For a thermal isolator there is a disadvantage that the property
value increases and the corresponding weight factor is negative. R are reference values
i
that have the same dimension and usually the same order of magnitude as the
corresponding property.

TALAT 1502 23

There are three types of decisions which must be made in Eq. (1):

• Properties (terms) to be included in Eq.(1)
Only properties for which an increased absolute value represents a genuine benefit
should be taken into account. This condition is in fact more restrictive than one
might first imagine. Consider a case where corrosion resistance is of major
importance. Hence a minimum value should be specified. However, it is not self
evident that corrosion resistance should be included in Eq.(1). If the corrosion
protection is fully adequate by just satisfying the minimum value, a raised property
value would not imply any further technical benefit. If that is the case it would be
misleading to incorporate corrosion in Eq.(1) since materials with a very high
corrosion resistance and which are probably also expensive would obtain a major
premium for which there is no purpose.

• Choice of reference values Ri (Figure 1502.04.02)
For properties with specified requirements it is natural to set the reference values to
the property criteria values. Thus the reference values are usually chosen in the
following way

Ri = E i (3a)
or
Ri = E i (3b)

depending whether a lower or an upper limit is involved. However, there are
exceptions. If for example the limits are very low in relation to typical property
values the corresponding term in Eq.(1) can become too large and the reference
value has to be increased. When setting Ri for a property i for which no criterion has
been specified a value typical for the material under consideration should be taken.
In the literature one sometimes finds that R =1 is used for all properties. Such an
i
assumption practically always leads to meaningless results and should be avoided.

• Choice of weight factors αι
According to Eq. (2) the absolute value of the weight factors must be smaller than
unity. A property that is more critical to the successful use of the component should
be given a higher value than a property that is of less significance.

TALAT 1502 24

Parameter Values in Weighted Sums
If there is a demand on the property value this limit is usually chosen to be the
reference value R = E or R =E
i i i i
If there is no limit on the choice of Ri is fairly free. It is common to take an average
of Ei for the materials types of interest or simply a typical value of Ei.

Concerning the selection of the weight factors the following principles are followed:

- An important property gets a high absolute value of αi the less important ones
lower values.

- If an improvement of the property corresponds to an increase in its value the weight
factor is positive, otherwise negative.

- The sum of the absolute values of αi should be equal to unity.

It is important to recognise that the selection of the weight factors is based on
engineering judgement rather than fundamental principles.

alu
Choice of Reference Values 1502.04.02

An approved version of Eq. (1) is the following equation

Ei − gi ni ni
Max Wexp = ∑ αi ( Ri
) (4)
i
where
gi = E i (5a)
or
gi = E i (5b)

There is one main difference between Eqs. (1) and (4). As before only materials
satisfying all the discriminating demands should be analysed with Eq. (4). However, the
influence of the property value Ei on the sum Wexp is non-linear. In general the exponent
ni is smaller than unity which reduces the effect of large property values in Eq. (1). A
more gradual increase is obtained for large property values. For ni=1 a linear behaviour
is obtained in the same way as in Eq. (1).

Selection of Materials by Minimising the Materials Cost

Rather than presenting the theory for materials optimisation in detail the general
principles will be illustrated with the help of an example (example 1). The example
involves an engineering beam. The beam has a rectangular cross section with triangular
load distribution with a total load of F = 0.01 MN and it is freely supported (see Figure
1502.04.03). The width b and length l are 100 and 800 mm. The material cost is
minimised by selecting a suitable material and at the same time adapting the height h of
the beam section. The design criteria are that the maximum elastic deflection should not

TALAT 1502 25

exceed ∆2 = 20 mm and that the largest stress is smaller than the characteristic
strength σchar of the selected material divided by a safety factor of fs = 1.2. The
characteristic strength σchar divided by the safety factor fs is called the design stress σdes

σ char
σ des =
fs

For a beam with rectangular section the largest deflection and stress which both appear
at the middle of the beam are given by

Fl 312
∆=δ ≤ ∆2 (6)
Ebh3
6 Fl σ char
σ=µ ≤ (7)
bh2 fs

The constants δ and µ depend on the load case and how the beam is fixed to the
supports. With a triangular load distribution for a freely supported beam the constants
take the values
δ = 1/60
µ = 1/6

Another condition must be taken into account, namely that the height h can not be
chosen arbitrarily small because of design or manufacturing restrictions.

h > h1 (8)

where h1 is assumed to take the value 5 mm. The material cost Lk of the beam is

Lk = ltot bhρck (9)

where ρ is the density and ck the price per unit weight of the material. To minimise the
material cost the height h should be chosen as small as possible. According to Eqs. (6)
and (7) the following restrictions on the height are obtained.

TALAT 1502 26

Material Optimisation: Example for an Engineering Beam

Problem Formulation
Design criteria F
l
∆ = δ Fl ³12 ≤ ∆
b
Elastic deflection:
Ebh³ 2 h
σ char
Maximum stress: σ = µ 6Fl ≤
bh ² fs
Geometric condition: h ≥ hl

Objective function

Material cost to be minimised: Lk = ltotbhρck
Parameters to be varied: Beam section height h and the material.

Values of the design parameters in the example
F = 0.01MN; l = 0.1m; b = 0.1m; hl = 0.005m;
fs = 1.2; ∆2 = 0.02m; δ = 1/60; µ = 1/6

alu Material Optimisation: Example for a Beam
Training in Aluminium Application Technologies Subjected to Bending 1502.04.03

 Fl 3 12 
1/ 3

h ≥ h∆ = δ ⋅  (10)
 Eb∆ 2 

 Fl 6 f s 
1/ 2

h ≥ hσ =  µ ⋅  (11)
 bσchar 

Together with Eq. (8) an expression for the lower limit of h is derived (Figure
1502.04.04).

 Fl 3 12 1/3  Fl 6 f 1/ 2 
hmin = maxδ  , µ
s
 , h1  (12)
 Eb∆ 2   bσchar  

If this expression is inserted into Eq. (9) the minimum material cost is found for a given
material.

 Fl 3 12 1/ 3  Fl 6 f 1/ 2 
Lkmin = ltot bρck maxδ  , µ
s
 , h1  (13)
 Eb∆ 2   bσchar  

TALAT 1502 27

Solution Principle
1) Derive the expression for the minimum material cost
1 1
 Fl 312  3  Fl 6 f 2
Lk min = ltot bρck max δ  , µ s  ,h
 Eb∆   bσ  1
 2  char 

2) Derive the merit parameters [(inverse) material dependent part of objective function]
1

QE = E
3
Elastic deflection (E-modulus) controlling ρc k
σ char 2
1

Qσ =
Maximum stress (characteristic strength) controlling ρck

Qhl = 1
Geometry controlling: ρck

3) Find the material with the largest merit parameter for the controlling property.
4) Amongst the materials with the largest merit parameter find the one with the
lowest material cost.

alu
Solution Principle for the Beam Subjected to Bending 1502.04.04

In this example a fully unbiased materials selection will not be performed. Only a set of
aluminium alloys will be considered (see Figure 1502.04.05). The material price is
expressed with an index which is unity for the pure aluminium alloy AA1050A. This
unit is called pi0 here.

Used Material Data and Merit Parameters in Example 1

Material Composition, wt.% Temper Price Density Young's Yield Tensile Qh1 QE Qσ
index kg/m³ modulus strength strength x10-4 x10-2 x10-3
pio MPa MPa MPa

AA6061 Al1.0Mg0.6SiCuCr T6 1.05 2700 70000 270 310 3.53 1.45 5.79

AA6082 Al0.9Mg1.0Si0.7Mn T6 1.06 2710 70000 310 340 3.49 1.44 6.14

AA7020 Al4.5Zn1.2MgMNCrZr T5 1.12 2780 70000 315 375 3.22 1.33 5.71

AA2014A Al4.5Cu0.8Mn0.7Si5Mg T6 1.19 2800 73000 425 485 2.99 1.25 6.17

AA6005A Al0.6Mg0.7SiMnCr T5 1.05 2710 69500 240 270 3.50 1.44 5.42

AA6063 Al0.7Mg0.4Si T6 1.02 2700 69500 210 245 3.64 1.50 5.27

AA6082 Al0.9Mg1.0Si0.7Mn T4 1.06 2710 70000 170 260 3.49 1.44 4.55

AA6061 Al1.0Mg0.6SiCuCr T4 1.05 2700 70000 140 235 3.53 1.45 4.17

AA5083 Al4.5Mg0.7MnCr 0 1.20 2660 71000 145 300 3.14 1.30 3.79

AA1050A Al99.5 0 1.00 2700 69000 35 80 3.70 1.52 2.19

alu Used Material Data and Merit Parameters for the
Training in Aluminium Application Technologies Example (Bending of Beams) 1502.04.05

The evaluation of the smallest allowable height of the beam hmin is tabulated (Figure
1502.04.06). According to Eq. (12) h is the largest of the three expressions (10), (11)
min
and (8). Since the first two represent the limitation in the elastic deflection and the
largest stress respectively, they are designated h∆ and hσ. Values of h∆, hσ and h1 are
given in Figure 1502.04.06. With the assumptions made, h1 = 5 mm is independent of
the material. Since the only material parameter, on which h∆ depends, is the E-module,

TALAT 1502 28

h∆ has about the same value for all aluminium alloys. There are only small differences
in the E-module between aluminium alloys (E ≅ 70 000 MPa). hσ decreases according to
Eq. (11) with increasing yield strength. Eq. (12) shows that the largest of h∆, hσ and h1
corresponds to lowest allowable height hmin. This value is underlined in Figure
1502.04.06. The h parameter which is the largest is called controlling (or sizing)
parameter.

Optimisation Parameters for Example 1
Material Main Composites Temper h∆ hσ hl hmin Lkmin
mm mm mm

AA6061 Al1.0Mg0.6SiCuCr T6 0.0194 0.0189 0.0050 1.94*10-2 mm 4.40

AA6082 Al0.9Mg1.0Si0.7Mn T6 0.0194 0.0176 0.0050 1.94*10-2 mm 4.45

AA7020 Al4.5Zn1.2MgMnCrZr T5 0.0194 0.0175 0.0050 1.94*10-2 mm 4.82

AA2014A Al4.5Cu0.8Mn0.7Si0.5Mg T6 0.0191 0.0150 0.0050 1.91*10-2 mm 5.11

AA6005A Al0.6Mg0.7SiMnCr T5 0.0195 0.0200 0.0050 2.00*10-2 mm 4.57

AA6063 Al0.7Mg0.4Si T6 0.0195 0.0214 0.0050 2.14*10-2 mm 4.70

AA6082 Al0.9Mg1.0Si0.7Mn T4 0.0194 0.0238 0.0050 2.38*10-2 mm 5.45

AA6061 AlMg0.6SiCuCr T4 0.0194 0.0262 0.0050 2.62*10-2 mm 5.94

AA5083 Al4.5Mg0.7MnCr 0 0.0193 0.0257 0.0050 2.57*10-2 mm 6.55

AA1050 Al99.5 0 0.0195 0.0524 0.0050 5.24*10-2 mm 11.33

Optimisation Parameters for the
alu

Example (Bending of Beams) 1502.04.06

The reason for this nomenclature is that the corresponding design criteria (8), (10) or
(11) is the most critical one and thus called controlling. The three design criteria are
often identified by the material property involved. (10) and (11) are referred to as the E-
modulus and the strength criteria, respectively. (8) is called the geometric criterion. For
lower yield strengths the characteristic strength is controlling whereas the E-module is
controlling at higher ones (see Figure 1502.04.06). When a certain strength has been
reached more material can not be saved by increasing the strength further since the
criterion for the deflection would not be satisfied. The lower limit h1 does not affect the
result since the criteria (10) and (11) are more difficult to satisfy in this case.

When hmin is known the material cost Lk min can directly be calculated with the aid of
Eq. (9). The result is given in Figure 1502.04.06. For aluminium alloys the material
cost only increases marginally with increasing strength. Hence a marked increase in
yield strength can be obtained for a modest increase in material price. The most
advantageous material is typically found at the transition from where the characteristic
strength is controlling to where the elastic modulus is dominating. This is clearly the
case in Figure 1502.04.06.

TALAT 1502 29

To convince oneself that the chosen solution is the optimum, one can go through all the
materials one by one. There are, however, much more efficient methods available using
merit parameters. The merit parameters are obtained by extracting the material
dependent part of the minimum material cost in Eq. (13). When h∆ is controlling i.e.
when the first member of the square bracket is largest, then the material dependent part
is given by

E1/ 3
QE = (14)
ρck

The corresponding factors when hσ and h1 are controlling are

σ char1/ 2
Qσ = (15)
ρck
1
Qh1 = (16)
ρck

The inverse of the factors are provided in Eqs. (14) - (16) since these should be
maximised when the material cost is minimised. QE, Qσ and Qh are the merit
1
parameters of the problem. The values of the merit parameters are shown in Figure
1502.04.05. Since the material cost is inversely proportional to the controlling merit
parameter it gives a ranking of the materials. For the first four materials in Figure
1502.04.06, the E-module is controlling. From Figure 1502.04.05 one finds that the
first material AA6061 has the highest merit parameter Qh of these four. Consequently
this material also gives the lowest cost, cf. Figure 1502.04.06.

For the six last materials in Figure 1502.04.06, σchar is controlling and thus the merit
parameter Qσ should be considered. From Figure 1502.04.05 one finds that AA6005A
has the largest merit parameter of the six materials and hence also the lowest material
cost, cf. Figures 1502.04.05 and .06. One can conclude that either AA6061 or
AA6005A is the optimal material. From Figure 1502.04.05 it is evident that AA6061
gives the lowest overall cost. Directly from the material parameters it is not possible to
decide which of these two materials is the optimal one. There are methods for assessing
that but they will not be discussed in this context.

The main advantage of using merit parameters is that they are independent of the design
parameters. Hence they are independent of the size of the external load, load
distribution, type of beam support, beam geometry, etc. If these parameters are changed
there is no need of recalculating the merit parameters. Thus by just considering the
values of the merit parameters a ranking of the materials can be obtained. It is for
example possible to show that if all merit parameters for one material are smaller than
for another the former material can never be the optimal one. From Figure 1502.04.06 it
is evident that AA7020-T5, AA2014A-T6, AA6082-T5 and AA5083-O can not give a
lower material cost than AA6082-T6 since all the three merit parameters are larger for

TALAT 1502 30

the latter material. In the same way AA6005A-T5 and AA6061-T4 can be disregarded in
relation to AA6061-T6. If these materials which can never be the optimal ones are
removed, Figure 1502.04.06 is reduced to Figure 1502.04.07. In fact only four
materials remain namely AA6061-T6, AA6082-T6, AA6063-T6 and AA1050A-O. Thus
the size of the computations can significantly be reduced in this way.

Reduced Table for Optimisation Parameters of Example 1
Material Main composition Temper hE hσ hl hmin Lkmin
mm mm mm

AA6061 Al1.0Mg0.6SiCuCr T6 0.0194 0.0189 0.0050 1.94*10-2 mm 4.40

AA6082 Al0.9Mg1.0Si0.7Mn T6 0.0194 0.0176 0.0050 1.94*10-2 mm 4.45

AA6063 Al0.7Mg0.4Si T6 0.0195 0.0214 0.0050 2.14*10-2 mm 4.70

AA1050A Al99.5 0 0.0195 0.0524 0.0050 5.24*10-2 mm 11.33

Reduced Set of Optimisation Parameters
alu
1502.04.07
Training in Aluminium Application Technologies for the Example

Advantage of Using Merit Parameters
1. Independent of the design parameters such as size of the external load, load distribution,
type of beam support, beam geometry, etc.
2. If the design parameters are changed there is no need of recalculating the merit
parameters.
3. A ranking of the materials can be obtained without carrying out the optimisation and
computing the material cost.
4. If all the merit parameters for one material are smaller than for another one the former
material can never be the optimal one.

Factors Controlling the Form of the Merit Parameters
1. The parameters depend on the shape of the component being analysed but not on
the dimensions. In the example the shape of the beam section is of importance. If for
example the shape is changed to solid circular or tubular the merit parameters will be
modified.
2. The geometric parameter which is adapted to the material has a direct influence on the
merit parameters. If the width of the beam instead of the height is fitted the exponent in
the merit parameters takes the value unity.

alu Advantage of Using Merit Parameters and
Training in Aluminium Application Technologies Factors Controlling their Forms 1502.04.08

TALAT 1502 31

Value of Weight Savings
Typical Values of Weight Savings

Cars: 0.5-1 £ per kg saved weight.
Trucks: 1-10 £ per kg saved weight.
Air Applications: 100-1000 £ per kg saved weight.

To Take the Value of Weight Savings into Account

Replace the material price by the sum of the value of weight savings cw and
the material price ck .

ck -> ck + cw
In the example the merit parameters take the form

QE = Eα Qσ =
σ cchar
Qh = 1
c + cw 
ρ c
 + cw 
 σ 
 k


1 σ  c + cw 

 k


 k 

alu
Using Merit Parameters: Value of Weight Savings 1502.04.09

The form of the merit parameters depends on the component being analysed. In the
example the geometry of the beam section and the geometric parameter which is
adapted to the material have a direct influence on the merit parameters. If the width of
the beam instead of the height is fitted the merit parameters for the elastic deflection and
the strength take the following form.

E
QE = (17)
ρc k
σ char
Qσ = (18)
ρc k

In Eqs. (17) and (18) the exponent is changed in comparison to Eqs. (14) and (15). In
Eqs. (17) and (18) the merit parameters are linear in the E-module and the characteristic
strength respectively.

Value of Weight Savings

For aluminium alloys the low density plays an important role in many applications. In
particular for vehicles of all kinds and equipment which is frequently moved it is
important to save weight. In many cases this can be achieved by using aluminium alloys.
The value of weight savings varies between different situations. For cars a figure of 0.5-
1 £ per kg save weight is typically quoted. For trucks the corresponding figures covers a
wider range namely 1-10 £ per kg. In air applications the value of weight savings is
about two order of magnitude larger, 100-1000 £ per kg. To take the value of weight

TALAT 1502 32

savings into account is straightforward. The material price is just replaced by the sum of
the value of weight savings cw and the material price ck.

ck & ck 'w
c (19)

In the example the merit parameters in section 1502.04.03 are replaced by

E)
QE ( (20)
$ck 'w )
( c
+
*
Q* ( char (21)
$ck 'w )
( c

1
Qh1 ( (22)
$ck 'w )
( c

For α = 1/3 and β = 1/2 Eqs. (20) and (21) correspond to Eqs. (14) and (15), for α = 1
and β = 1 to Eqs. (14) and (15). Eq. (22) is the modified form of Eq. (16). The effect of
cw on the merit parameter for the characteristic strength in Eq. (21) is illustrated in
Figure 1502.04.11 and 12 for β = 1 and β = 1/2 respectively. Three aluminium alloys
and three steels are included in the figures. The steels have a yield strength of 220, 380
and 690 MPa representing a mild, a high strength and an extra high strength steel. The
merit parameters are given in relation to that of Steel 220.

+
* Steel 220
Q* ( char / Q* (23)
$ck 'w )
( c

This is possible since it is the relative values of the merit parameters that are of
importance not their absolute values. According to Eq. (23) Qσ is equal to unity for Steel
220. In Figure 1502.04.11 for β = 1 Steel 380 and Steel 690 have higher merit
parameters than Steel 220. This difference increases up to a value of weight savings cw
of 10 £/kg and then stays constant. Below about cw = 1 £/kg the aluminium alloys have
lower Qσ than the steels, However above cw = 2-5 £/kg they are significantly higher than
for Steel 220, AA2014 and AA6082 are even above Steel 690. At higher cw the cost
savings of AA2014 in relation to carbon steel (Steel 220) is more than a factor of five.

In Figure 1502.04.12 for β = 1/2 the differences between steel and aluminium alloys are
equally pronounced. The transition where aluminium alloys become competitive takes
place at cw = 2-3 £/kg. Above cw = 10 £/kg the three aluminium alloys give a material
cost which is two to four times lower than for mild steels. Even in relation to extra high
strength steels the advantage is quite significant.

TALAT 1502 33

Value of Weight Savings (continued)

The merit parameters are often given in relation to another material for example
mild steel (Steel 220).
σ β
Qσ = char / Q Steel 220
σ
ρ c + cw 

 k



This is possible since only the relative values of the merit parameters are of
importance.

Aluminium alloys typically become competitive in comparison to carbon steels
above cw = 2-5 £/ kg when strength is the controlling property.

alu
Relative Merit Parameters: Value of Weight Savings 1502.04.10

Linear Strength
6.00
AA2014T6
5.00
Merit parameter

4.00 AA6082T6

3.00 Steel 690
AA6063T6
2.00
Steel 380
1.00

0.00
10-2 10-1 100 10+1 10+2 10+3 10+4
Value of weight savings (£ / kg)

alu
Material Selection Based on Linear Strength 1502.04.11

TALAT 1502 34

Square Root of Strength
4.00 AA2014T6

AA6082T6
Merit parameters

3.00 AA6063T6

2.00
Steel 690

Steel 380
1.00

0.00
10-2 10-1 100 10+1 10+2 10+3 10+4
Value of weight savings (£ / kg)

alu
Material Selection Based on Square Root of Strength 1502.04.12

TALAT 1502 35

1502.05 List of Figures

Figure Nr. Figure Title (Overhead)
1502.01.01 Rapid Development in Material Technology
1502.01.02 Intuitive Methods in Material Selection
1502.01.03 Material Selection Basics
1502.01.04 Connection to Design: Material Selection Integral Part of the Design Process
1502.01.05 General Guidelines for Successful Material Selection
1502.01.06 First Step: Specification of Functions
1502.01.07 Check List: Functional Requirements
1502.01.08 Formulating Functional Requirements
1502.02.01 General Principles for Pre-Selection of Materials
1502.02.02 Characteristic Properties of Aluminium Alloys
1502.02.03 Aluminium Alloys Should Not be Used, If ...
1502.02.04 Properties Involved in Pre-Selection of Material Types
1502.02.05 Example on Pre-Selection: Casserole
1502.02.06 Example on Pre-Selection: Ladder
1502.02.07 Example on Pre-Selection: Self-Supported Cable
1502.02.08 Base Material of Pre-Selection
1502.03.01 Discriminating Material Selection (Sorting)
1502.03.02 Demands on Material Properties
1502.03.03 Sources of Material Specification
1502.03.04 Steps in Material Specification
1502.03.05 Relation between Specification and Materials Properties
1502.03.06 Examples of Technological Properties
1502.03.07 Discriminating Property Values for Technological Properties
1502.03.08 Example: Requirements for Car Bumper in Aluminium
1502.03.09 Example: Self-Supported Electric Transmission Cable
1502.03.10 Limits to Optimum Material Selection
1502.04.01 Maximizing Weighted Property Values
1502.04.02 Choice of Reference Values
1502.04.03 Material Optimisation: Example for a Beam Subjected to Bending
1502.04.04 Solution Principle for the Beam Subjected to Bending
1502.04.05 Used Material Data and Merit Parameters for the Example (Bending of
Beams)
1502.04.06 Optimisation Parameters for the Example (Bending of Beams)
1502.04.07 Reduced Set of Optimisation Parameters for the Example
1502.04.08 Advantage of Using Merit Parameters and Factors Controlling Their Forms
1502.04.09 Using Merit Parameters: Value of Weight Savings
1502.04.10 Relative Merit Parameters: Value of Weight Savings
1502.04.11 Material Selection Based on Linear Strength
1502.04.12 Material Selection Based on Square Root of Strength

TALAT 1502 36

TALAT Lecture 1502: Criteria in Material Selection

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TALAT Lecture 1502: Criteria in Material Selection