Chemistry and Materials Research                                                              www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012


   Modelling Tensile Behaviour of Stir-cast Aluminium Matrix
   Composites (AMCs) Using Factorial Design of Experiments
                                    Indumati B. Deshmanya, Dr. GK Purohit
     Department of Mechanical Engineering, PDA College of Engineering Gulbarga, India
                         E-mail: *indu_bd@yahoo.co.in, geeke_purohit@rediffmail.com


Abstract
Aluminium based metal matrix composites (MMCs) with ceramic reinforcement are finding extensive
applications in aerospace, automobile, agricultural farm machinery and other areas which demand
combination of properties such as high strength, stiffness, wear resistance, high temperature resistance, etc.
In particular, components comprising Al7075 alloy matrix, reinforced with alumina (Al2O3) particulates, are
reported to excel their monolithic counterparts. Liquid metal route and powder metallurgy are the most
widely used fabrication techniques to produce these MMCs. The former has advantages such as easy
adaptability, low cost and possibility of subjecting the cast components to secondary processes like forging,
rolling and extrusion for producing the final components. This paper presents the details of developing a
mathematical model to predict the tensile behavior like ultimate tensile strength (UTS) and percentage
elongation of the as-cast Al7075/Al2O3 in terms of size and % fraction of Al2O3, holding temperature and
holding time; using factorial design of experiments (DoE). Adequacy of the models was tested using
Fisher’s F-test. UTS of the composite was increased by 20%compared to that of matrix and % elongation
was reduced by around 30%.
Keywords: MMC, UTS, % elongation, Design of experiments, Modelling.
1. Introduction
Aluminium metal matrix composites (MMCs) with 7xxx alloy as matrix reinforced with ceramic particles
are finding application in aerospace, automobile and farm machinery equipment because of their improved
mechanical and tribological properties [1-6]. In particular, Al2O3 particles mixed with Al7075 matrix in
appropriate proportions are reported to exhibit improved tensile properties because of the higher modulus
of elasticity and strength of the alumina [7]. Out of the available methods of producing these composites,
stir casting route is most promising and economical for synthesizing the particle reinforced AMCs and is
not only simple, but is easy to obtain shape castings [8,9]. It is important to understand the process
parameters that bring about the enhancement in their behaviour. However, conventionally, this requires
conducting costly and time consuming experiments. Alternately, we can predict the influence of process
parameters accurately, and to develop composites possessing desirable mechanical properties various
modelling methods are available [10-13]. This paper presents one such methodology called rotatable central
composite design (CCD), which is a multi-parameter based, multiple response analysis modelling
technique [14]. It is not only fast, economical and very effective in assessing the effect of individual
parameters, but also helps in predicting the interaction effects of the parameters. Hence, in this work an
attempt is made to predict the effect of reinforcement size, %weight fraction of reinforcement, holding
temperature and holding time on the ultimate tensile strength and %elongation of a stir-cast Al7075/Al2O3
composite system using CCD. The adequacy of the models is checked by Fisher’s-F ratio and the analysis
of variance is employed to evaluate the effect of parameters.
2. Materials
Al7075 matrix reinforced with varying sizes of Al2O3 particles were used to produce composites using stir
casting. Tables 1 and 2 present the important properties of the matrix material. Table 3 gives the range of
the four most influential process parameters, viz. size of reinforcement particles (D), weight fraction of
reinforcement (W), holding temperature (T) and holding time (t).

                                                      5
Chemistry and Materials Research                                                               www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012
3. Experimental Program
Rotatable central composite design was used to produce the castings [15-17]. Figs. 1 and 2 show the
schematic diagram and close-up view of stir casting process. The details of the process are explained
elsewhere [18]. A total of 31 castings comprising 16 (=24) factorial points, 8 star points and 7 central points
were produced by adapting the CCD as per Table 4. The castings were produced using randomness to avoid
the entry of systematic errors in experimentation. Tensile tests were performed on samples extracted from
defect-free regions of the castings at a rate of 8.33×10-4 s-1 as per [19] and a minimum of 3 specimens were
tested in each case. The average values of UTS and %E are presented in Table 4.
4. Results and Discussion
The maximum value of UTS obtained was 289MPa; minimum was 262MPa and the mean was at 273MPa,
whereas %E obtained was in the range of 14.8% to 9.25% with the average at 11.3%. It is noticed that
introduction of Al2O3 particulates could result in 20% increase in matrix UTS and decreased the %E by
around 30%; implying that composites with enhanced strength can be produced by stir-casting. However,
one has to sacrifice the ductility. Similar observations have been made by many researchers [9,19-20].
Second order relations were obtained by regression analysis and are presented in equations (1) and (2) for
UTS and %E, respectively.
    UTS=270.29-3.63D+3.21W+2.36T+3.126t+0.768D2+2.643W2+0.518T2-0.106t2-0.437DW-0.313DT+
           0.563Dt-0.063Wt+0.937Tt                                                                    (1)


    %E=10.508+0.396D-0.421W-0.0413T-0.453t+0.386D2+0.220W2+0.126T2+0.301t2-0.049DW-0.093DT
        +0.056Dt-0.21WT+0.363Wt+0.277Tt                                            (2)


Table 5 shows the result of the analyses of variance and it is noticed that, in both the cases, experimental
values of F-ratios are higher than that from the table; indicating that the two models are adequate. Also, R2
and Radj2 values indicate that the models can be used to predict the responses with 99% confidence level.
Hence, the models can be effectively used in predicting the UTS and %E, knowing the composition of
Al7075/Al2O3 MMCs.
It is observed from equation (1) that as the size of reinforcement (D) increases UTS decreases. D affects
UTS independently as well as in combination with weight% and holding temperature. On the other hand, W,
T and t contribute positively. Interestingly, the effect of these parameters on elongation is exactly reversed
as shown in equation (2). Thus UTS of composites is observed to be 20% enhanced and elongation reduced
by nearly 30% compared to the matrix material. Similar observations are recorded by many researchers
[19-22]. Leisk and Saigal [23] have shown that further enhancement in tensile strength is possible by
subjecting the composites to heat treatment. However, this claim is to be confirmed for Al7075/Al2O3
composites. All these aspects can be systematically exploited in developing the AMCs possessing desired
tensile strength and %elongation.
5. Conclusion
Based on the experimental work, following conclusions are drawn.
  1 Rotatable, central composite design can be successfully used to model the tensile behaviour of AMCs
  2 Mathematical models for UTS and %elongation are adequate and will predict the values with 99%
    confidence.
  3 UTS and %elongation show reverse trends as far as influence of the process parameters are concerned.
  4 UTS of the Al7075/Al2O3 MMCs increased by 20%compared to that of matrix and % elongation was
    reduced by around 30%.
6. References
[1] Surappa M.K. (2003). Aluminium matrix composites: Challenges and Opportunities. Sadhana, 28 Parts
    1 & 2, 319-344.

                                                      6
Chemistry and Materials Research                                                            www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012
[2] Ibrahim I.A, Mohamed F.A, Lavernia E.J. (1991). Particulate reinforced metal matrix composites- a
    review. Journal of Material Science, 26, 1137-1156.
[3] Nikhilesh Chawla, Yu-Lin Shen. (2001). Mechanical behaviour of particulate reinforced metal matrix
    composites. Advanced Engineering Materials, 3, 6, 357-370.
[4] Daoud A, Reif W, Rohatgi P. (2003). Microstructure and tensile properties of extruded 7475 AL-Al2O3
    particulate composites. ECCM13, Sweden, 1201.
[5] Ceschini L, Minak G, Morri A. (2009). Forging of the AA2618/20 Vol. % Al2O3p composite: Effects on
    microstructure and tensile properties. Composites Science and Technology, 69, 1783-1789.
[6] Mallik, B., et al (2006). Effect of particle content on the mechanical behaviour of aluminium-based
    metal matrix composites (AMMC). Indian Foundry Journal, 52, 35-42.
[7] Hashim J, Looney L, Hashmi M. S. J. (1999). Metal matrix composites: production by the stir casting
    method. Journal of Materials Processing Technology, 92-93, 1- 7.
[8] Ceschini L, Minak G, Morri A. (2006). Tensile and fatigue properties of the AA6061/20 vol. % Al2O3p
    and AA7005/10 Vol. % Al2O3p composites. Composites Science and Technology, Vol. 66, 333-342
[9] Gupta M, Lai M.O, Lim C.Y.H. (2006). Development of a novel hybrid aluminium-based composite
    with enhanced properties. Journal Material Processing Technology, Vol. 176, No. 1-3, 191-199.
[10] Sahin Y. (2003). Wear behavior of aluminium alloy and its composites reinforced by SiC particles
     using statistical analysis. Materials and Design, 24, 95-103.
[11] Yilmaz O, Buytoz S. (2001). Abrasive wear of Al2O3-reinforced aluminium-based MMCs. Composite
     Science and Technology, 61, 2381-2392.
[12] Mondal D.P, Das S. (2006). High stress abrasive wear behavior of aluminium hard particle composites:
     Effect of experimental parameters, particle size and volume fraction. Tribology International, 39,
     470-478.
[13] Chawla N, Chawla K.K. (2006). Microstructural e-based modeling of the deformation behavior of
     particle reinforced metal matrix composites. Journal of Material Science and Technology, (41)
     913-925.
[14] Deshmanya Indumati B, Purohit G.K. (2011). Studies on modelling of aluminium matrix composites
     (AMCs)-A Review. ICAM 2011, Joint International Conference on Advanced Materials. 144-145.
[15] Cochran W.G, Cox G M. (1992). Experimental Design, John Wiley, New York.
[16] Montgomery D. C. (2009). Design and Analysis of Experiments. John Wiley, New York.
[17] Adler Y.P, Markov E. V, Granovsky Y.V. (1975). The design of experiments to find optimal conditions.
    MIR Pub., Moscow.
[18] Deshmanya, Indumati B, Purohit G.K. (2011). Modelling of impact strength and hardness of Al2O3 –
     reinforced Al-7075 composites. International Journal of Industrial Engineering Practice, Vol. 3, Issue
     1, 61-66.
[19] Doel T. J. A, Bowen P. (1996). Tensile properties of particulate-reinforced metal matrix composites.
     Composites Part A: Applied Science and Manufacturing, 27, 655-665.
[20] Srivatsan T.S. (1996). Microstructure tensile properties and fracture behaviour of Al2O3
     particulate-reinforced aluminium alloy metal matrix composites. Journal of Materials Science, 31,
     1375.
[21] Seah K. H. W, Sharma S. C, Girish B.M. (2001). Mechanical properties of as- cast and heat-treated
     ZA-27/graphite particulate composites. Composite: part A. 28A 251-6 Composites Science and
     Technology, 61, 2381.
[22] Abis S. (1989). Characterization of an aluminium alloy/alumina metal matrix composites. Journal of
     Composite Science and Technology, 35, 1-19.
[23] Leisk G, Saigal   A. (1995). Taguchi analysis of heat treatment variables on the mechanical behaviour

                                                    7
Chemistry and Materials Research                                                                       www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012
      of alumina /aluminium metal matrix composites. Composites Engineering, 5, 2, 129-142.


Table 1: Chemical Composition of Al7075
         Cr                   Cu                  Mg                    Zn                      Al           Density
                                                                                                        g/cc at 20°C
         0.22               1.60                  2.80                  5.50               Balance            2.89




Table 2: Details of other important properties of Al7075

  UTS               Yield Strength    Elongation            Hardness      Thermal Conductivity        Elect. Resistivity
                                                                                     2
  MPa                   MPa                   %              VHN          Cal/Cm /Cm/°C at 25°C       µΩ-Cm at 20°C
   228                   103              17                  79                         0.29                   5.74



Table 3: Coded values of as-cast input variables at different levels


Coded               Input                           Units          Lower level             Middle       Upper level
values           parameters
                                   Notation
                                                                  -2           -1                0    +1               +2

 X1             Size of Al2O3         D              µm           36           45               54    63               72


 X2               % Wt of            W               ---           5           7.5              10    12.5             15
                   Al2O3
 X3               Holding             T                           150          237              325   413            500
                                                     °C
                Temperature


 X4             Holding Time          t             Hrs            1            2                3     4               5




                                                              8
Chemistry and Materials Research                                                              www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012

Table 4: Design matrix for preparation of tensile test samples by stir casting along with responses


                                        Input Parameters                                              Responses

Trial No.         X1               X2                X3                     X4                UTS             Elongation
            Size of Al2O3     Wt. fraction        Holding           Holding Time,             MPa                  %
               D (µm)         of Al2O3         Temperature,             t   (Hrs)
                                  %W               T (°C)
        1         -1               -1                -1                     -1                 268                13.54
    2             +1               -1                -1                     -1                 264                14.80
    3             -1               +1                -1                     -1                 273                11.35
    4             +1               +1                -1                     -1                 267                13.20
    5             -1               -1                +1                     -1                 275                12.80
    6             +1               -1                +1                     -1                 262                14.50
    7             -1               +1                +1                     -1                 277                10.63
    8             +1               +1                +1                     -1                 275                11.25
    9             -1               -1                -1                     +1                 274                11.54
   10             +1               -1                -1                     +1                 271                13.15
   11             -1               +1                -1                     +1                 278                10.22
   12             +1               +1                -1                     +1                 273                12.12
   13             -1               -1                +1                     +1                 280                11.35
   14             +1               -1                +1                     +1                 276                13.05
   15             -1               +1                +1                     +1                 288                11.12
   16             +1               +1                +1                     +1                 284                12.23
   17             -2               0                  0                     0                  285                11.10
   18             +2               0                  0                     0                  262                9.98
   19             0                -2                 0                     0                  273                9.25
   20             0                +2                 0                     0                  289                10.50
   21             0                0                 -2                     0                  270                9.00
   22             0                0                 +2                     0                  275                10.00
   23             0                0                  0                     -2                 267                11.10
   24             0                0                  0                     +2                 273                9.30
   25             0                0                  0                     0                  270                10.25
   26             0                0                  0                     0                  271                10.50
   27             0                0                  0                     0                  272                10.55
   28             0                0                  0                     0                  270                10.61
   29             0                0                  0                     0                  273                10.45
   30             0                0                  0                     0                  268                10.70
   31             0                0                  0                     0                  268                10.50


                                                      9
Chemistry and Materials Research                                                                   www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012
 Table 5: Analysis of Variance (ANOVA)

   Particulars    Source             DF            SS          MS              F               R2         Radj2
                  I & II             14      455.438          32.531
                  Order Terms



      UTS          Lack of Fit       10      885.07           3.571           9.11           98.42        98.18



                  Residual
                  Error               6      21.427
                  Total              30      1361.935          36.102         9.11           98.42        98.18
                                                                                                2
                  Source             DF            SS          MS              F               R          Radj2
                  I & II                     23.489           1.677
                                     14
                            Frame
                  Order Terms

                                   Driving motor

                  Lack of Fit                42.54
                                           Stirrer Rod        0.0198         84.52           99.81       99.79
  % Elongation                       10

                                               Ball Bearing
                  Residual
                  Error                      0.1191
                                      6
                                                                  Stirrer Blade
                  Total              30      66.148           1.6968           84.52         99.81        99.79
                                                                                    Crucible

          Note: From Table; F14,6,0.05 = 4.07 (i.e. Fmodel > Ftable). Hence the model is adequate.
                                                                                   Holding Furnace


                           Figure 1: Schematic diagram showing components of stir-casting process.
                            The stirrer is a servomotor operated ceramic coated stainless steel rod.




                                                         10
Chemistry and Materials Research                                                            www.iiste.org
ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online)
Vol 2, No.1, 2012




            Figure 2:Close-up view of the stir-casting set-up. Al2O3 particulates of various sizes are added to
            the melt at 730°C which is continuously stirred using a motorized stirrer made of ceramic coated
                                                    stainless steel rod.




                                                  11

More Related Content

PDF
Characterization of al sic metal matrix by stir-casting
PDF
Optimizing the process parameters of friction stir butt welded joint on alumi...
PDF
Displacement analysis of cantilever beam using fem package
PDF
IRJET- A Study on Effect of SIC on Mechanical Properties of Aluminium 8011 Me...
PDF
2 67-1441091734-3. mech - ijmperd - frequency responses of aluminum a356
PDF
Optimizing the process parameters of friction stir butt welded joint on alumi...
PDF
PDF
30120140505011
Characterization of al sic metal matrix by stir-casting
Optimizing the process parameters of friction stir butt welded joint on alumi...
Displacement analysis of cantilever beam using fem package
IRJET- A Study on Effect of SIC on Mechanical Properties of Aluminium 8011 Me...
2 67-1441091734-3. mech - ijmperd - frequency responses of aluminum a356
Optimizing the process parameters of friction stir butt welded joint on alumi...
30120140505011

What's hot (17)

PDF
Effect of cold swaging on the mechanical and microstructure characteristics o...
PDF
Effect of pitch and nominal diameter on load distribution and efficiency in m...
PDF
Effect of sb si addition on necking behaviour of mg alloys
PDF
Effect of welding parameter on micro hardness of synergic mig welding of
PDF
30120130406010
PDF
Effect of polypropylene fiber, steel fiber & glass fiber on properties of concre
PDF
30120130406005
PDF
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
PDF
Ceramic coating [tio2 zro2] on aluminium 6061 t6 for anti
PDF
numerical investigation on induced residual stress of al albite metal matrix ...
PDF
A comparative investigation on physical and mechanical properties of mmc rein...
PDF
Cb33474482
PDF
Cost optimization of reinforced concrete chimney
PDF
Upgradation of non ductile reinforced concrete beamcolumn connections using f...
PDF
PDF
Comparative study of tensile properties of forged hybrid alloys of aa6061 si...
PDF
Effect of machining parameters on surface roughness for 6063 al tic (5 & 10 %...
Effect of cold swaging on the mechanical and microstructure characteristics o...
Effect of pitch and nominal diameter on load distribution and efficiency in m...
Effect of sb si addition on necking behaviour of mg alloys
Effect of welding parameter on micro hardness of synergic mig welding of
30120130406010
Effect of polypropylene fiber, steel fiber & glass fiber on properties of concre
30120130406005
Experimental study on hardness for sintered si cp reinforced ammcs using the ...
Ceramic coating [tio2 zro2] on aluminium 6061 t6 for anti
numerical investigation on induced residual stress of al albite metal matrix ...
A comparative investigation on physical and mechanical properties of mmc rein...
Cb33474482
Cost optimization of reinforced concrete chimney
Upgradation of non ductile reinforced concrete beamcolumn connections using f...
Comparative study of tensile properties of forged hybrid alloys of aa6061 si...
Effect of machining parameters on surface roughness for 6063 al tic (5 & 10 %...
Ad

Similar to Modelling tensile behaviour of stir cast aluminium matrix composites (am cs) using factorial design of experiments (20)

PDF
Fabrication, charecterization and development of high damping materials for n...
PDF
Wear Analysis of Al7068 Metal Matrix Composite Reinforced with Silicon Nitride
PDF
Ijmet 10 01_009
PDF
A review on Comparison of Aluminium Alloy LM-25 with Al/Sic
PDF
REVIEW ON EFFECT OF VARIOUS REINFORCEMENTS ON THE THERMAL PROPERTIES OF LM-25...
PDF
SLIDING WEAR OF AA6061/CARBON BLACK METAL MATRIX COMPOSITES
PDF
Evaluation Of Factors Affecting Sliding Wear Behaviour Of Al-Flyash Metal Mat...
PDF
Ijmet 10 01_079
PDF
Prediction Models for Sliding Wear of AA3003/Al2O3 Composites
PDF
D012653136
PDF
Aluminium Based Metal Matrix Composites for Aerospace Application: A Literatu...
PDF
Experimental and FEA of Fracture Toughness on In-Situ Al/TiB2 MMCs in Differe...
PDF
Characterization of the Mechanical Properties of Aluminium Alloys with SiC Di...
PDF
Optimization of process parameter for stir casted aluminium metal matrix comp...
PDF
Fabrication and characterisation of in situ al-tic composite
PDF
A Study on Mechanical Properties of Fly Ash and Alumina Reinforced Aluminium ...
PDF
IRJET- A Study on Wear and Microstructure Properties of AA7075 Reinforced...
PDF
Fabrication and mechanical properties of stir cast al si12 cub4c composites
PDF
IRJET - A Review on Advance Composite Material for Automotive Body Application
PDF
EFFECT OF SHORT GLASS FIBER AND FILLERS ON DRY SLIDING WEAR BEHAVIOUR OF THER...
Fabrication, charecterization and development of high damping materials for n...
Wear Analysis of Al7068 Metal Matrix Composite Reinforced with Silicon Nitride
Ijmet 10 01_009
A review on Comparison of Aluminium Alloy LM-25 with Al/Sic
REVIEW ON EFFECT OF VARIOUS REINFORCEMENTS ON THE THERMAL PROPERTIES OF LM-25...
SLIDING WEAR OF AA6061/CARBON BLACK METAL MATRIX COMPOSITES
Evaluation Of Factors Affecting Sliding Wear Behaviour Of Al-Flyash Metal Mat...
Ijmet 10 01_079
Prediction Models for Sliding Wear of AA3003/Al2O3 Composites
D012653136
Aluminium Based Metal Matrix Composites for Aerospace Application: A Literatu...
Experimental and FEA of Fracture Toughness on In-Situ Al/TiB2 MMCs in Differe...
Characterization of the Mechanical Properties of Aluminium Alloys with SiC Di...
Optimization of process parameter for stir casted aluminium metal matrix comp...
Fabrication and characterisation of in situ al-tic composite
A Study on Mechanical Properties of Fly Ash and Alumina Reinforced Aluminium ...
IRJET- A Study on Wear and Microstructure Properties of AA7075 Reinforced...
Fabrication and mechanical properties of stir cast al si12 cub4c composites
IRJET - A Review on Advance Composite Material for Automotive Body Application
EFFECT OF SHORT GLASS FIBER AND FILLERS ON DRY SLIDING WEAR BEHAVIOUR OF THER...
Ad

More from Alexander Decker (20)

PDF
Abnormalities of hormones and inflammatory cytokines in women affected with p...
PDF
A validation of the adverse childhood experiences scale in
PDF
A usability evaluation framework for b2 c e commerce websites
PDF
A universal model for managing the marketing executives in nigerian banks
PDF
A unique common fixed point theorems in generalized d
PDF
A trends of salmonella and antibiotic resistance
PDF
A transformational generative approach towards understanding al-istifham
PDF
A time series analysis of the determinants of savings in namibia
PDF
A therapy for physical and mental fitness of school children
PDF
A theory of efficiency for managing the marketing executives in nigerian banks
PDF
A systematic evaluation of link budget for
PDF
A synthetic review of contraceptive supplies in punjab
PDF
A synthesis of taylor’s and fayol’s management approaches for managing market...
PDF
A survey paper on sequence pattern mining with incremental
PDF
A survey on live virtual machine migrations and its techniques
PDF
A survey on data mining and analysis in hadoop and mongo db
PDF
A survey on challenges to the media cloud
PDF
A survey of provenance leveraged
PDF
A survey of private equity investments in kenya
PDF
A study to measures the financial health of
Abnormalities of hormones and inflammatory cytokines in women affected with p...
A validation of the adverse childhood experiences scale in
A usability evaluation framework for b2 c e commerce websites
A universal model for managing the marketing executives in nigerian banks
A unique common fixed point theorems in generalized d
A trends of salmonella and antibiotic resistance
A transformational generative approach towards understanding al-istifham
A time series analysis of the determinants of savings in namibia
A therapy for physical and mental fitness of school children
A theory of efficiency for managing the marketing executives in nigerian banks
A systematic evaluation of link budget for
A synthetic review of contraceptive supplies in punjab
A synthesis of taylor’s and fayol’s management approaches for managing market...
A survey paper on sequence pattern mining with incremental
A survey on live virtual machine migrations and its techniques
A survey on data mining and analysis in hadoop and mongo db
A survey on challenges to the media cloud
A survey of provenance leveraged
A survey of private equity investments in kenya
A study to measures the financial health of

Recently uploaded (20)

PDF
UiPath Agentic Automation session 1: RPA to Agents
PDF
Two-dimensional Klein-Gordon and Sine-Gordon numerical solutions based on dee...
PDF
Hybrid horned lizard optimization algorithm-aquila optimizer for DC motor
PPTX
Microsoft Excel 365/2024 Beginner's training
PDF
The influence of sentiment analysis in enhancing early warning system model f...
DOCX
search engine optimization ppt fir known well about this
PDF
Enhancing emotion recognition model for a student engagement use case through...
PDF
A review of recent deep learning applications in wood surface defect identifi...
PDF
sbt 2.0: go big (Scala Days 2025 edition)
PDF
A comparative study of natural language inference in Swahili using monolingua...
PDF
Getting started with AI Agents and Multi-Agent Systems
PDF
sustainability-14-14877-v2.pddhzftheheeeee
PDF
A contest of sentiment analysis: k-nearest neighbor versus neural network
PDF
Abstractive summarization using multilingual text-to-text transfer transforme...
PPTX
Chapter 5: Probability Theory and Statistics
PDF
Consumable AI The What, Why & How for Small Teams.pdf
PDF
CloudStack 4.21: First Look Webinar slides
PPT
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
PPTX
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
PDF
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
UiPath Agentic Automation session 1: RPA to Agents
Two-dimensional Klein-Gordon and Sine-Gordon numerical solutions based on dee...
Hybrid horned lizard optimization algorithm-aquila optimizer for DC motor
Microsoft Excel 365/2024 Beginner's training
The influence of sentiment analysis in enhancing early warning system model f...
search engine optimization ppt fir known well about this
Enhancing emotion recognition model for a student engagement use case through...
A review of recent deep learning applications in wood surface defect identifi...
sbt 2.0: go big (Scala Days 2025 edition)
A comparative study of natural language inference in Swahili using monolingua...
Getting started with AI Agents and Multi-Agent Systems
sustainability-14-14877-v2.pddhzftheheeeee
A contest of sentiment analysis: k-nearest neighbor versus neural network
Abstractive summarization using multilingual text-to-text transfer transforme...
Chapter 5: Probability Theory and Statistics
Consumable AI The What, Why & How for Small Teams.pdf
CloudStack 4.21: First Look Webinar slides
Galois Field Theory of Risk: A Perspective, Protocol, and Mathematical Backgr...
AI IN MARKETING- PRESENTED BY ANWAR KABIR 1st June 2025.pptx
How ambidextrous entrepreneurial leaders react to the artificial intelligence...

Modelling tensile behaviour of stir cast aluminium matrix composites (am cs) using factorial design of experiments

  • 1. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 Modelling Tensile Behaviour of Stir-cast Aluminium Matrix Composites (AMCs) Using Factorial Design of Experiments Indumati B. Deshmanya, Dr. GK Purohit Department of Mechanical Engineering, PDA College of Engineering Gulbarga, India E-mail: *indu_bd@yahoo.co.in, geeke_purohit@rediffmail.com Abstract Aluminium based metal matrix composites (MMCs) with ceramic reinforcement are finding extensive applications in aerospace, automobile, agricultural farm machinery and other areas which demand combination of properties such as high strength, stiffness, wear resistance, high temperature resistance, etc. In particular, components comprising Al7075 alloy matrix, reinforced with alumina (Al2O3) particulates, are reported to excel their monolithic counterparts. Liquid metal route and powder metallurgy are the most widely used fabrication techniques to produce these MMCs. The former has advantages such as easy adaptability, low cost and possibility of subjecting the cast components to secondary processes like forging, rolling and extrusion for producing the final components. This paper presents the details of developing a mathematical model to predict the tensile behavior like ultimate tensile strength (UTS) and percentage elongation of the as-cast Al7075/Al2O3 in terms of size and % fraction of Al2O3, holding temperature and holding time; using factorial design of experiments (DoE). Adequacy of the models was tested using Fisher’s F-test. UTS of the composite was increased by 20%compared to that of matrix and % elongation was reduced by around 30%. Keywords: MMC, UTS, % elongation, Design of experiments, Modelling. 1. Introduction Aluminium metal matrix composites (MMCs) with 7xxx alloy as matrix reinforced with ceramic particles are finding application in aerospace, automobile and farm machinery equipment because of their improved mechanical and tribological properties [1-6]. In particular, Al2O3 particles mixed with Al7075 matrix in appropriate proportions are reported to exhibit improved tensile properties because of the higher modulus of elasticity and strength of the alumina [7]. Out of the available methods of producing these composites, stir casting route is most promising and economical for synthesizing the particle reinforced AMCs and is not only simple, but is easy to obtain shape castings [8,9]. It is important to understand the process parameters that bring about the enhancement in their behaviour. However, conventionally, this requires conducting costly and time consuming experiments. Alternately, we can predict the influence of process parameters accurately, and to develop composites possessing desirable mechanical properties various modelling methods are available [10-13]. This paper presents one such methodology called rotatable central composite design (CCD), which is a multi-parameter based, multiple response analysis modelling technique [14]. It is not only fast, economical and very effective in assessing the effect of individual parameters, but also helps in predicting the interaction effects of the parameters. Hence, in this work an attempt is made to predict the effect of reinforcement size, %weight fraction of reinforcement, holding temperature and holding time on the ultimate tensile strength and %elongation of a stir-cast Al7075/Al2O3 composite system using CCD. The adequacy of the models is checked by Fisher’s-F ratio and the analysis of variance is employed to evaluate the effect of parameters. 2. Materials Al7075 matrix reinforced with varying sizes of Al2O3 particles were used to produce composites using stir casting. Tables 1 and 2 present the important properties of the matrix material. Table 3 gives the range of the four most influential process parameters, viz. size of reinforcement particles (D), weight fraction of reinforcement (W), holding temperature (T) and holding time (t). 5
  • 2. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 3. Experimental Program Rotatable central composite design was used to produce the castings [15-17]. Figs. 1 and 2 show the schematic diagram and close-up view of stir casting process. The details of the process are explained elsewhere [18]. A total of 31 castings comprising 16 (=24) factorial points, 8 star points and 7 central points were produced by adapting the CCD as per Table 4. The castings were produced using randomness to avoid the entry of systematic errors in experimentation. Tensile tests were performed on samples extracted from defect-free regions of the castings at a rate of 8.33×10-4 s-1 as per [19] and a minimum of 3 specimens were tested in each case. The average values of UTS and %E are presented in Table 4. 4. Results and Discussion The maximum value of UTS obtained was 289MPa; minimum was 262MPa and the mean was at 273MPa, whereas %E obtained was in the range of 14.8% to 9.25% with the average at 11.3%. It is noticed that introduction of Al2O3 particulates could result in 20% increase in matrix UTS and decreased the %E by around 30%; implying that composites with enhanced strength can be produced by stir-casting. However, one has to sacrifice the ductility. Similar observations have been made by many researchers [9,19-20]. Second order relations were obtained by regression analysis and are presented in equations (1) and (2) for UTS and %E, respectively. UTS=270.29-3.63D+3.21W+2.36T+3.126t+0.768D2+2.643W2+0.518T2-0.106t2-0.437DW-0.313DT+ 0.563Dt-0.063Wt+0.937Tt (1) %E=10.508+0.396D-0.421W-0.0413T-0.453t+0.386D2+0.220W2+0.126T2+0.301t2-0.049DW-0.093DT +0.056Dt-0.21WT+0.363Wt+0.277Tt (2) Table 5 shows the result of the analyses of variance and it is noticed that, in both the cases, experimental values of F-ratios are higher than that from the table; indicating that the two models are adequate. Also, R2 and Radj2 values indicate that the models can be used to predict the responses with 99% confidence level. Hence, the models can be effectively used in predicting the UTS and %E, knowing the composition of Al7075/Al2O3 MMCs. It is observed from equation (1) that as the size of reinforcement (D) increases UTS decreases. D affects UTS independently as well as in combination with weight% and holding temperature. On the other hand, W, T and t contribute positively. Interestingly, the effect of these parameters on elongation is exactly reversed as shown in equation (2). Thus UTS of composites is observed to be 20% enhanced and elongation reduced by nearly 30% compared to the matrix material. Similar observations are recorded by many researchers [19-22]. Leisk and Saigal [23] have shown that further enhancement in tensile strength is possible by subjecting the composites to heat treatment. However, this claim is to be confirmed for Al7075/Al2O3 composites. All these aspects can be systematically exploited in developing the AMCs possessing desired tensile strength and %elongation. 5. Conclusion Based on the experimental work, following conclusions are drawn. 1 Rotatable, central composite design can be successfully used to model the tensile behaviour of AMCs 2 Mathematical models for UTS and %elongation are adequate and will predict the values with 99% confidence. 3 UTS and %elongation show reverse trends as far as influence of the process parameters are concerned. 4 UTS of the Al7075/Al2O3 MMCs increased by 20%compared to that of matrix and % elongation was reduced by around 30%. 6. References [1] Surappa M.K. (2003). Aluminium matrix composites: Challenges and Opportunities. Sadhana, 28 Parts 1 & 2, 319-344. 6
  • 3. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 [2] Ibrahim I.A, Mohamed F.A, Lavernia E.J. (1991). Particulate reinforced metal matrix composites- a review. Journal of Material Science, 26, 1137-1156. [3] Nikhilesh Chawla, Yu-Lin Shen. (2001). Mechanical behaviour of particulate reinforced metal matrix composites. Advanced Engineering Materials, 3, 6, 357-370. [4] Daoud A, Reif W, Rohatgi P. (2003). Microstructure and tensile properties of extruded 7475 AL-Al2O3 particulate composites. ECCM13, Sweden, 1201. [5] Ceschini L, Minak G, Morri A. (2009). Forging of the AA2618/20 Vol. % Al2O3p composite: Effects on microstructure and tensile properties. Composites Science and Technology, 69, 1783-1789. [6] Mallik, B., et al (2006). Effect of particle content on the mechanical behaviour of aluminium-based metal matrix composites (AMMC). Indian Foundry Journal, 52, 35-42. [7] Hashim J, Looney L, Hashmi M. S. J. (1999). Metal matrix composites: production by the stir casting method. Journal of Materials Processing Technology, 92-93, 1- 7. [8] Ceschini L, Minak G, Morri A. (2006). Tensile and fatigue properties of the AA6061/20 vol. % Al2O3p and AA7005/10 Vol. % Al2O3p composites. Composites Science and Technology, Vol. 66, 333-342 [9] Gupta M, Lai M.O, Lim C.Y.H. (2006). Development of a novel hybrid aluminium-based composite with enhanced properties. Journal Material Processing Technology, Vol. 176, No. 1-3, 191-199. [10] Sahin Y. (2003). Wear behavior of aluminium alloy and its composites reinforced by SiC particles using statistical analysis. Materials and Design, 24, 95-103. [11] Yilmaz O, Buytoz S. (2001). Abrasive wear of Al2O3-reinforced aluminium-based MMCs. Composite Science and Technology, 61, 2381-2392. [12] Mondal D.P, Das S. (2006). High stress abrasive wear behavior of aluminium hard particle composites: Effect of experimental parameters, particle size and volume fraction. Tribology International, 39, 470-478. [13] Chawla N, Chawla K.K. (2006). Microstructural e-based modeling of the deformation behavior of particle reinforced metal matrix composites. Journal of Material Science and Technology, (41) 913-925. [14] Deshmanya Indumati B, Purohit G.K. (2011). Studies on modelling of aluminium matrix composites (AMCs)-A Review. ICAM 2011, Joint International Conference on Advanced Materials. 144-145. [15] Cochran W.G, Cox G M. (1992). Experimental Design, John Wiley, New York. [16] Montgomery D. C. (2009). Design and Analysis of Experiments. John Wiley, New York. [17] Adler Y.P, Markov E. V, Granovsky Y.V. (1975). The design of experiments to find optimal conditions. MIR Pub., Moscow. [18] Deshmanya, Indumati B, Purohit G.K. (2011). Modelling of impact strength and hardness of Al2O3 – reinforced Al-7075 composites. International Journal of Industrial Engineering Practice, Vol. 3, Issue 1, 61-66. [19] Doel T. J. A, Bowen P. (1996). Tensile properties of particulate-reinforced metal matrix composites. Composites Part A: Applied Science and Manufacturing, 27, 655-665. [20] Srivatsan T.S. (1996). Microstructure tensile properties and fracture behaviour of Al2O3 particulate-reinforced aluminium alloy metal matrix composites. Journal of Materials Science, 31, 1375. [21] Seah K. H. W, Sharma S. C, Girish B.M. (2001). Mechanical properties of as- cast and heat-treated ZA-27/graphite particulate composites. Composite: part A. 28A 251-6 Composites Science and Technology, 61, 2381. [22] Abis S. (1989). Characterization of an aluminium alloy/alumina metal matrix composites. Journal of Composite Science and Technology, 35, 1-19. [23] Leisk G, Saigal A. (1995). Taguchi analysis of heat treatment variables on the mechanical behaviour 7
  • 4. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 of alumina /aluminium metal matrix composites. Composites Engineering, 5, 2, 129-142. Table 1: Chemical Composition of Al7075 Cr Cu Mg Zn Al Density g/cc at 20°C 0.22 1.60 2.80 5.50 Balance 2.89 Table 2: Details of other important properties of Al7075 UTS Yield Strength Elongation Hardness Thermal Conductivity Elect. Resistivity 2 MPa MPa % VHN Cal/Cm /Cm/°C at 25°C µΩ-Cm at 20°C 228 103 17 79 0.29 5.74 Table 3: Coded values of as-cast input variables at different levels Coded Input Units Lower level Middle Upper level values parameters Notation -2 -1 0 +1 +2 X1 Size of Al2O3 D µm 36 45 54 63 72 X2 % Wt of W --- 5 7.5 10 12.5 15 Al2O3 X3 Holding T 150 237 325 413 500 °C Temperature X4 Holding Time t Hrs 1 2 3 4 5 8
  • 5. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 Table 4: Design matrix for preparation of tensile test samples by stir casting along with responses Input Parameters Responses Trial No. X1 X2 X3 X4 UTS Elongation Size of Al2O3 Wt. fraction Holding Holding Time, MPa % D (µm) of Al2O3 Temperature, t (Hrs) %W T (°C) 1 -1 -1 -1 -1 268 13.54 2 +1 -1 -1 -1 264 14.80 3 -1 +1 -1 -1 273 11.35 4 +1 +1 -1 -1 267 13.20 5 -1 -1 +1 -1 275 12.80 6 +1 -1 +1 -1 262 14.50 7 -1 +1 +1 -1 277 10.63 8 +1 +1 +1 -1 275 11.25 9 -1 -1 -1 +1 274 11.54 10 +1 -1 -1 +1 271 13.15 11 -1 +1 -1 +1 278 10.22 12 +1 +1 -1 +1 273 12.12 13 -1 -1 +1 +1 280 11.35 14 +1 -1 +1 +1 276 13.05 15 -1 +1 +1 +1 288 11.12 16 +1 +1 +1 +1 284 12.23 17 -2 0 0 0 285 11.10 18 +2 0 0 0 262 9.98 19 0 -2 0 0 273 9.25 20 0 +2 0 0 289 10.50 21 0 0 -2 0 270 9.00 22 0 0 +2 0 275 10.00 23 0 0 0 -2 267 11.10 24 0 0 0 +2 273 9.30 25 0 0 0 0 270 10.25 26 0 0 0 0 271 10.50 27 0 0 0 0 272 10.55 28 0 0 0 0 270 10.61 29 0 0 0 0 273 10.45 30 0 0 0 0 268 10.70 31 0 0 0 0 268 10.50 9
  • 6. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 Table 5: Analysis of Variance (ANOVA) Particulars Source DF SS MS F R2 Radj2 I & II 14 455.438 32.531 Order Terms UTS Lack of Fit 10 885.07 3.571 9.11 98.42 98.18 Residual Error 6 21.427 Total 30 1361.935 36.102 9.11 98.42 98.18 2 Source DF SS MS F R Radj2 I & II 23.489 1.677 14 Frame Order Terms Driving motor Lack of Fit 42.54 Stirrer Rod 0.0198 84.52 99.81 99.79 % Elongation 10 Ball Bearing Residual Error 0.1191 6 Stirrer Blade Total 30 66.148 1.6968 84.52 99.81 99.79 Crucible Note: From Table; F14,6,0.05 = 4.07 (i.e. Fmodel > Ftable). Hence the model is adequate. Holding Furnace Figure 1: Schematic diagram showing components of stir-casting process. The stirrer is a servomotor operated ceramic coated stainless steel rod. 10
  • 7. Chemistry and Materials Research www.iiste.org ISSN 2224- 3224 (Print) ISSN 2225- 0956 (Online) Vol 2, No.1, 2012 Figure 2:Close-up view of the stir-casting set-up. Al2O3 particulates of various sizes are added to the melt at 730°C which is continuously stirred using a motorized stirrer made of ceramic coated stainless steel rod. 11