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REALISTIC SIMULATION SOLUTIONS FOR
DESIGN, OPTIMIZATION, AND FABRICATION
OF PLASTICS
Arindam Chakraborty, PhD, PE
VP of Advanced Engineering, VIAS
Houston, TX
www.viascorp.com
achakraborty@viascorp.com
May 10, 2018
© 2018 Virtual Integrated Analytics Solutions Inc.
Agenda
• VIAS Overview
• Realistic Simulation & Optimization
• Collaborative Innovation
• Examples-
✓ Simulation for Injection Molding
✓ Injection Molding Demo
✓ Simulation based Optimization
• Concluding Remarks
2
WHO WE ARE
© 2018 Virtual Integrated Analytics Solutions Inc.
Who We Are
Engineering
Consultancy
Training
Automation
&Customization
Software
• Multiple Industry Experience
• Oil & Gas,
• Machinery & Equipment
• Petrochemical & Process
• Consumer Goods
• Aerospace
• Medical Devices
• Automotive
• Presence in Houston, Chicago, Cincinnati, San Francisco,
Portland
• Provides Engineering Consultancy, Automation and
Customization, Training
• Team consists of PhD’s and MSc’s in Solid Mechanics,
Fluid Mechanics, Materials & Corrosion, Numerical
Analyses, Optimization & Reliability, Data Analytics
• Solution partner of Dassault Systèmes SIMULIA – Abaqus,
Isight, fe-safe, Tosca, CATIA, DELMIA, 3DEXPEREINCE
• Provide AM Simulation and 3D Printing Services
4
© 2018 Virtual Integrated Analytics Solutions Inc.
VIAS Capabilities
Design Analysis and
Validation using Simulation
FEA based Fracture /
Damage Mechanics
Fluid Structure Interaction
(FSI)
Multi-physics Simulations
(CFD, Thermal Analysis)
Additive Manufacturing
Simulation
Material Modeling and
Process Simulation
S-N and e-N based Fatigue
Analysis (varying
temperatures)
Simulation Automation
CATIA Design and Analysis
Product Lifecycle
Management (PLM)
5
REALISTIC SIMULATION
& OPTIMIZATION
© 2018 Virtual Integrated Analytics Solutions Inc.
What is Realistic Simulation?
“Realistic Simulation” is a simulation that is physically
realistic and “life like” in every way
• Enables engineers to create life like models that will behave similarly to the
real part / product.
• Typically, start with simple models and increase the complexity, model size
and the physics as confidence in simulation results increase their
• Enables building up expertise and most importantly find value in simulation
7
© 2018 Virtual Integrated Analytics Solutions Inc.
Why Realistic Simulation?
• Designers often create innovative
concepts, but retreat to conventional
shapes due to limited time and resources
for physical prototyping and testing
• Simulation enables designers to virtually
test new innovative concepts
▪ Reduces design time and the
expensive cost of physical testing
▪ Lowers material cost and improves
sustainability by light-weighting
▪ Reduces damage cost during
production and transport by
eliminating bad designs quickly Courtesy Mechanical Design and Analysis Corporation, 2010 SCC
8
© 2018 Virtual Integrated Analytics Solutions Inc.
Challenges in Modelling Plastics and Polymers
• Polymeric materials are complex in their
mechanical behavior
• Exhibit large strain, anisotropic and
irreversible response; often accompanied by
stable localized necking behavior
• Modelling failure and fracture a challenge
• Simulation models must deal with severe
non-linearities
Blow Molding
(Plastic Bottle)
Necking (ASTM D638
Hyperelastic)
Viscoelastic Rubber
Seal Insertion
Fracture /
Delamination
Crimping
© 2018 Virtual Integrated Analytics Solutions Inc.
Optimization – Deterministic and Probabilistic
10
Flexible automated design exploration strategies combining DOE,
surrogate models, multi-objective optimization and stochastics.
Y1
Constraint
Boundary
Y2
Initial Design
Search for solution
Optimization
Robust/Reliability Design
(Quality Engineering)
Feasible Infeasible
(safe) (failed)
X2
X1
DOE:
Critical Factors
And Initial Design
© 2018 Virtual Integrated Analytics Solutions Inc.
Automation and Optimization - Isight
11
• Process Integration and Design Optimization
• Integrate Disparate Simulation Tools without
programming
• Automate Simulation Process Flows
COLLABORATIVE
INNOVATION
© 2018 Virtual Integrated Analytics Solutions Inc.
Collaborative Innovation
13
Perfect
Production
Perfec
t Lab
Perfect
Shelf
Perfect
Product
Perfect
Package
Perfect
Value Chain
Local
Teams
3DEXPERIENCE : Collaborative Innovation
LAUNCHDEVELOP PRODUCE ADAPT / REPLICATEIDEATE
Scientists
Formulators
Artwork
Designers
Production
Transportation
Sales
Planning
Stores
Materials
suppliers
Agencies
Management
Local
markets
Digital
Equipment
Suppliers
Packaging
suppliers
LAUNCHDEVELOP PRODUCE ADAPT / REPLICATEIDEATE
FIRST
MARKET
Packaging
Engineers
Legal
© 2018 Virtual Integrated Analytics Solutions Inc.
SIMULIA Product Portfolio Overview
Access to Technology through multiple
user interfaces facilitates migration
• Transition to 3DEXPERIENCE as applications
mature and customers are ready
• Enable existing SIMULIA portfolio within
3DEXP platform
3DEXPERIENCE provides
integration of applications and
technology in an open and
extensible environmentDelivering
trusted, proven,
robust,
dependable
technology on
an open
platform to
connect 3rd party
technologies
3DS Simulation Portfolio
Multiphysics Simulation
Applications
delivering a
comprehensive
environment for
multiphysics
simulation
Product Design Simulation
Applications tailored
to guide product
design from concept
through validation
Simulation Process
Integrate applications,
disciplines and data to enable
collaborative decision making
through analytics
Isight
Automate and explore design alternatives
and identify optimal performance
parameters through simulation process
flows
Abaqus Solvers
Abaqus Standard
Abaqus Explicit
Abaqus CFD
Solidworks Simulation
Simulation solutions providing
seamless integration within the
Solidworks V1 environment
V5 Analysis
Finite element simulation within the V5
environment providing seamless
integration
Tosca
Simulate the right design more
efficiently through design exploration
and optimization
fe-safe
Accurately determine the fatigue life of
components under complex cyclic
loading
Abaqus/CAE
Finite element modeling,
visualization and process automation
for Abaqus
14
© 2018 Virtual Integrated Analytics Solutions Inc.
Design Validation using Simulation
15
Design of the package
• Design the package with
the CATIA app:
Structural package
design
• Apply material with
rendering and
simulation properties
Model
preparation• Meshing of the Model,
• Preparation of the
connection and
properties
Scenario definition
• Visualization of the stresses,
displacement
• Validation of the structure
• Optimization of the design• Application of
forces,
restraints
• Definition of the
scenario
(dynamic, static)
Results Analysis
SIMULATION FOR
INJECTION MOLDING
© 2018 Virtual Integrated Analytics Solutions Inc.
Injection Molding - Capabilities using FEA
• Optimize design of parts and molds
• Design complex shapes - get the best design
without doing “trial and error” prototyping
• Simulate filling and packing phases
• Ascertain pressure requirements for uniform
filling
• Gain insights into the thermal gradient of the
part cross-section
• Develop cooling solution for solidification
• Automatic report generation with HTML, PPT
and Word Formats
17
© 2018 Virtual Integrated Analytics Solutions Inc.
Simulation in Injection Molding - Filling
• Different polymers have varying properties and process
requirements
• Plastics Simulation can answer the following questions:
• Will my part fill completely?
• Where are the parting lines?
• Will there be air traps?
• Where are the best gate locations?
• Do all my cavities fill equally?
• How much pressure and clamping force will I need?
• What happens if I change materials?
Sink marks and air traps Temperature growth Bulk temperature
18
© 2018 Virtual Integrated Analytics Solutions Inc.
Filling Examples
Will my part fill completely?
Will there be short shots?
Predict the weld lines, possible air traps
and structural weakness
Air Trap Locations
19
1.
2.
3.
© 2018 Virtual Integrated Analytics Solutions Inc.
Simulation in Injection Molding – Packing & Cooldown
• Plastics Simulation can answer the following
questions:
• What is the time required for the part to cool
down?
• What is the effect of a packing pressure profile?
• When do gates and other regions freeze?
• What is my process cycle time?
• Are there hot spots that delay ejection?
• Where do residual stresses develop?
• How much volumetric shrinkage do I have?
20
© 2018 Virtual Integrated Analytics Solutions Inc.
Packing & Cooling Examples
o Achieving uniform density
o Uniform dimensional stability
o Minimizing sink marks
How long must I pack the part?
Zeroing in on the gate will permit the user
to identify the when the gate freezes off
Temp at end of packingPressure after filling
Pressure at end of packing Volume shrinkage
21
1. 2.
© 2018 Virtual Integrated Analytics Solutions Inc.
SIMULIA Simpoe-Mold
• SIMULIA provides a module to simulate the injection
molding process
“Simpoe-Mold also allows simulation of more advanced
processes, such as gas-assisted injection, co-injection
molding, bi-refringance, overmolding, multi-shots or multi-
domain injection”.
• Imports common CAD geometries
• Large, customizable material database
• Predicts process cycle time
• Can be integrated with structural analysis using Abaqus
22
© 2018 Virtual Integrated Analytics Solutions Inc.
Simpoe has been available since 1995 – first as a standalone now
available on the 3DEXPEREINCE platform.
The 3DEXPERIENCE platform is a business experience platform. It provides software
solutions – from marketing to sales to engineering – that help in your value creation
process. With a single, easy-to-use interface, it powers Industry Solution Experiences –
based on 3D design, analysis, simulation, and intelligence software in a collaborative,
interactive environment.
Products Powered by SIMPOE Technology
3DEXPERIENCE Apps
Plastic Part Filling (FPP)
Plastic Part Injection (INK)
Plastic Mold Injection (IME)
23
PLASTIC MOLD
INJECTION DEMO
Plastic Mold Injection
(IME)
Demo
SIMULATION BASED
OPTIMIZATION
© 2018 Virtual Integrated Analytics Solutions Inc.
Bottle Ideation
•Capture the design ideas with
CATIA Application: Natural Sketch
•Define the material properties
Configure the bottle with different sections
•Based on Previous Results,
configure the bottle with some
market information.
•Create and assemble several
bottles.
•With the SIMULIA Application
Process composer Optimize the
design of the bottle by changing
parameters Optimize the volume
(Minimize) and the reaction force
(Maximize)
Design Optimization
Management of Parameters
•With CATIA Knowledge
Parameters, we can manage
the parameters of each
sections to adjust the size of
the bottle
Validation Simulation
•With the SIMULIA Physical
applications create a top
compression test
•Export Reaction Force
(RF3)
•Blow molding process
Simulation compression
•With the SIMULIA Physical
applications create several
validation simulation
(caping, wrapping)
•Test the consumer usage
with handling tests.
Rendering
•Creation of
realistic
rendering
Bottle Design With the 3DEXPERIENCE platform
© 2018 Virtual Integrated Analytics Solutions Inc.
Case Study: Thickness Optimization for Blow
Molded Bottle
• Top Load (TL) thickness optimization
• Vary thickness smoothly along bottle height
▪ Use 5 thickness values as
optimization parameters
• Constraints – minimum TL force > 100 N
• Optimization target – minimize mass
2828
© 2018 Virtual Integrated Analytics Solutions Inc.
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0 50 100 150 200 250
Target Thickness
STH
Case Study: Thickness Optimization for Blow
Molded Bottle
• Mass: 43% reduction
• Meets target Top Loading Force
2929
CONCLUDING
REMARKS
© 2018 Virtual Integrated Analytics Solutions Inc.
• For companies that design plastic parts or injection molds, INK or IME can
help users:
➢ Predict and avoid manufacturing defects during the earliest stages of
part and mold design
➢ Eliminate costly mold rework
➢ Improve part quality
➢ Decrease time to market
• Business value
➢ More than 80% of plastic parts are injection molded
➢ Injection molding is a complex mix of time, temperature, pressure,
material & tooling variables
➢ Injection molds range in cost from >$10K to $1M+ and mold rework is
costly and time-consuming
Plastic Injection Molding Simulation Value Proposition
Avoiding Just One Round of Mold
Rework can result in a Positive ROI
31
THANK YOU

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Realistic Simulation solutions for Design, Optimization, and fabrication of Plastics

  • 1. REALISTIC SIMULATION SOLUTIONS FOR DESIGN, OPTIMIZATION, AND FABRICATION OF PLASTICS Arindam Chakraborty, PhD, PE VP of Advanced Engineering, VIAS Houston, TX www.viascorp.com achakraborty@viascorp.com May 10, 2018
  • 2. © 2018 Virtual Integrated Analytics Solutions Inc. Agenda • VIAS Overview • Realistic Simulation & Optimization • Collaborative Innovation • Examples- ✓ Simulation for Injection Molding ✓ Injection Molding Demo ✓ Simulation based Optimization • Concluding Remarks 2
  • 4. © 2018 Virtual Integrated Analytics Solutions Inc. Who We Are Engineering Consultancy Training Automation &Customization Software • Multiple Industry Experience • Oil & Gas, • Machinery & Equipment • Petrochemical & Process • Consumer Goods • Aerospace • Medical Devices • Automotive • Presence in Houston, Chicago, Cincinnati, San Francisco, Portland • Provides Engineering Consultancy, Automation and Customization, Training • Team consists of PhD’s and MSc’s in Solid Mechanics, Fluid Mechanics, Materials & Corrosion, Numerical Analyses, Optimization & Reliability, Data Analytics • Solution partner of Dassault Systèmes SIMULIA – Abaqus, Isight, fe-safe, Tosca, CATIA, DELMIA, 3DEXPEREINCE • Provide AM Simulation and 3D Printing Services 4
  • 5. © 2018 Virtual Integrated Analytics Solutions Inc. VIAS Capabilities Design Analysis and Validation using Simulation FEA based Fracture / Damage Mechanics Fluid Structure Interaction (FSI) Multi-physics Simulations (CFD, Thermal Analysis) Additive Manufacturing Simulation Material Modeling and Process Simulation S-N and e-N based Fatigue Analysis (varying temperatures) Simulation Automation CATIA Design and Analysis Product Lifecycle Management (PLM) 5
  • 7. © 2018 Virtual Integrated Analytics Solutions Inc. What is Realistic Simulation? “Realistic Simulation” is a simulation that is physically realistic and “life like” in every way • Enables engineers to create life like models that will behave similarly to the real part / product. • Typically, start with simple models and increase the complexity, model size and the physics as confidence in simulation results increase their • Enables building up expertise and most importantly find value in simulation 7
  • 8. © 2018 Virtual Integrated Analytics Solutions Inc. Why Realistic Simulation? • Designers often create innovative concepts, but retreat to conventional shapes due to limited time and resources for physical prototyping and testing • Simulation enables designers to virtually test new innovative concepts ▪ Reduces design time and the expensive cost of physical testing ▪ Lowers material cost and improves sustainability by light-weighting ▪ Reduces damage cost during production and transport by eliminating bad designs quickly Courtesy Mechanical Design and Analysis Corporation, 2010 SCC 8
  • 9. © 2018 Virtual Integrated Analytics Solutions Inc. Challenges in Modelling Plastics and Polymers • Polymeric materials are complex in their mechanical behavior • Exhibit large strain, anisotropic and irreversible response; often accompanied by stable localized necking behavior • Modelling failure and fracture a challenge • Simulation models must deal with severe non-linearities Blow Molding (Plastic Bottle) Necking (ASTM D638 Hyperelastic) Viscoelastic Rubber Seal Insertion Fracture / Delamination Crimping
  • 10. © 2018 Virtual Integrated Analytics Solutions Inc. Optimization – Deterministic and Probabilistic 10 Flexible automated design exploration strategies combining DOE, surrogate models, multi-objective optimization and stochastics. Y1 Constraint Boundary Y2 Initial Design Search for solution Optimization Robust/Reliability Design (Quality Engineering) Feasible Infeasible (safe) (failed) X2 X1 DOE: Critical Factors And Initial Design
  • 11. © 2018 Virtual Integrated Analytics Solutions Inc. Automation and Optimization - Isight 11 • Process Integration and Design Optimization • Integrate Disparate Simulation Tools without programming • Automate Simulation Process Flows
  • 13. © 2018 Virtual Integrated Analytics Solutions Inc. Collaborative Innovation 13 Perfect Production Perfec t Lab Perfect Shelf Perfect Product Perfect Package Perfect Value Chain Local Teams 3DEXPERIENCE : Collaborative Innovation LAUNCHDEVELOP PRODUCE ADAPT / REPLICATEIDEATE Scientists Formulators Artwork Designers Production Transportation Sales Planning Stores Materials suppliers Agencies Management Local markets Digital Equipment Suppliers Packaging suppliers LAUNCHDEVELOP PRODUCE ADAPT / REPLICATEIDEATE FIRST MARKET Packaging Engineers Legal
  • 14. © 2018 Virtual Integrated Analytics Solutions Inc. SIMULIA Product Portfolio Overview Access to Technology through multiple user interfaces facilitates migration • Transition to 3DEXPERIENCE as applications mature and customers are ready • Enable existing SIMULIA portfolio within 3DEXP platform 3DEXPERIENCE provides integration of applications and technology in an open and extensible environmentDelivering trusted, proven, robust, dependable technology on an open platform to connect 3rd party technologies 3DS Simulation Portfolio Multiphysics Simulation Applications delivering a comprehensive environment for multiphysics simulation Product Design Simulation Applications tailored to guide product design from concept through validation Simulation Process Integrate applications, disciplines and data to enable collaborative decision making through analytics Isight Automate and explore design alternatives and identify optimal performance parameters through simulation process flows Abaqus Solvers Abaqus Standard Abaqus Explicit Abaqus CFD Solidworks Simulation Simulation solutions providing seamless integration within the Solidworks V1 environment V5 Analysis Finite element simulation within the V5 environment providing seamless integration Tosca Simulate the right design more efficiently through design exploration and optimization fe-safe Accurately determine the fatigue life of components under complex cyclic loading Abaqus/CAE Finite element modeling, visualization and process automation for Abaqus 14
  • 15. © 2018 Virtual Integrated Analytics Solutions Inc. Design Validation using Simulation 15 Design of the package • Design the package with the CATIA app: Structural package design • Apply material with rendering and simulation properties Model preparation• Meshing of the Model, • Preparation of the connection and properties Scenario definition • Visualization of the stresses, displacement • Validation of the structure • Optimization of the design• Application of forces, restraints • Definition of the scenario (dynamic, static) Results Analysis
  • 17. © 2018 Virtual Integrated Analytics Solutions Inc. Injection Molding - Capabilities using FEA • Optimize design of parts and molds • Design complex shapes - get the best design without doing “trial and error” prototyping • Simulate filling and packing phases • Ascertain pressure requirements for uniform filling • Gain insights into the thermal gradient of the part cross-section • Develop cooling solution for solidification • Automatic report generation with HTML, PPT and Word Formats 17
  • 18. © 2018 Virtual Integrated Analytics Solutions Inc. Simulation in Injection Molding - Filling • Different polymers have varying properties and process requirements • Plastics Simulation can answer the following questions: • Will my part fill completely? • Where are the parting lines? • Will there be air traps? • Where are the best gate locations? • Do all my cavities fill equally? • How much pressure and clamping force will I need? • What happens if I change materials? Sink marks and air traps Temperature growth Bulk temperature 18
  • 19. © 2018 Virtual Integrated Analytics Solutions Inc. Filling Examples Will my part fill completely? Will there be short shots? Predict the weld lines, possible air traps and structural weakness Air Trap Locations 19 1. 2. 3.
  • 20. © 2018 Virtual Integrated Analytics Solutions Inc. Simulation in Injection Molding – Packing & Cooldown • Plastics Simulation can answer the following questions: • What is the time required for the part to cool down? • What is the effect of a packing pressure profile? • When do gates and other regions freeze? • What is my process cycle time? • Are there hot spots that delay ejection? • Where do residual stresses develop? • How much volumetric shrinkage do I have? 20
  • 21. © 2018 Virtual Integrated Analytics Solutions Inc. Packing & Cooling Examples o Achieving uniform density o Uniform dimensional stability o Minimizing sink marks How long must I pack the part? Zeroing in on the gate will permit the user to identify the when the gate freezes off Temp at end of packingPressure after filling Pressure at end of packing Volume shrinkage 21 1. 2.
  • 22. © 2018 Virtual Integrated Analytics Solutions Inc. SIMULIA Simpoe-Mold • SIMULIA provides a module to simulate the injection molding process “Simpoe-Mold also allows simulation of more advanced processes, such as gas-assisted injection, co-injection molding, bi-refringance, overmolding, multi-shots or multi- domain injection”. • Imports common CAD geometries • Large, customizable material database • Predicts process cycle time • Can be integrated with structural analysis using Abaqus 22
  • 23. © 2018 Virtual Integrated Analytics Solutions Inc. Simpoe has been available since 1995 – first as a standalone now available on the 3DEXPEREINCE platform. The 3DEXPERIENCE platform is a business experience platform. It provides software solutions – from marketing to sales to engineering – that help in your value creation process. With a single, easy-to-use interface, it powers Industry Solution Experiences – based on 3D design, analysis, simulation, and intelligence software in a collaborative, interactive environment. Products Powered by SIMPOE Technology 3DEXPERIENCE Apps Plastic Part Filling (FPP) Plastic Part Injection (INK) Plastic Mold Injection (IME) 23
  • 27. © 2018 Virtual Integrated Analytics Solutions Inc. Bottle Ideation •Capture the design ideas with CATIA Application: Natural Sketch •Define the material properties Configure the bottle with different sections •Based on Previous Results, configure the bottle with some market information. •Create and assemble several bottles. •With the SIMULIA Application Process composer Optimize the design of the bottle by changing parameters Optimize the volume (Minimize) and the reaction force (Maximize) Design Optimization Management of Parameters •With CATIA Knowledge Parameters, we can manage the parameters of each sections to adjust the size of the bottle Validation Simulation •With the SIMULIA Physical applications create a top compression test •Export Reaction Force (RF3) •Blow molding process Simulation compression •With the SIMULIA Physical applications create several validation simulation (caping, wrapping) •Test the consumer usage with handling tests. Rendering •Creation of realistic rendering Bottle Design With the 3DEXPERIENCE platform
  • 28. © 2018 Virtual Integrated Analytics Solutions Inc. Case Study: Thickness Optimization for Blow Molded Bottle • Top Load (TL) thickness optimization • Vary thickness smoothly along bottle height ▪ Use 5 thickness values as optimization parameters • Constraints – minimum TL force > 100 N • Optimization target – minimize mass 2828
  • 29. © 2018 Virtual Integrated Analytics Solutions Inc. 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 0 50 100 150 200 250 Target Thickness STH Case Study: Thickness Optimization for Blow Molded Bottle • Mass: 43% reduction • Meets target Top Loading Force 2929
  • 31. © 2018 Virtual Integrated Analytics Solutions Inc. • For companies that design plastic parts or injection molds, INK or IME can help users: ➢ Predict and avoid manufacturing defects during the earliest stages of part and mold design ➢ Eliminate costly mold rework ➢ Improve part quality ➢ Decrease time to market • Business value ➢ More than 80% of plastic parts are injection molded ➢ Injection molding is a complex mix of time, temperature, pressure, material & tooling variables ➢ Injection molds range in cost from >$10K to $1M+ and mold rework is costly and time-consuming Plastic Injection Molding Simulation Value Proposition Avoiding Just One Round of Mold Rework can result in a Positive ROI 31