Modeling, Simulation & Crash Safety Congress

The only OEM-led event with a focus on simulation and
modeling of lightweight materials
Presenting Automotive Industry Best Practices & New Trends On:
Cost Effective Modeling & Simulation Methodologies To Enhance
Predictive Capabilities & Crash
Performance Of Lightweight Materials
January 26-27, 2016 | Detroit | Michigan
ExpertSpeakerPanelIncludes:
M Follow us @UnconventOilGas
www.modeling-simulation-lightweight-materials.com
Register By Friday
November 20, 2015
SAVE
$400
• SIMULATION OF LIGHTWEIGHT MATERIAL PROPERTIES: Outlining
practices to ensure accurate modeling of aluminum, composites and UHSS
properties and how to apply them successfully in simulation
• MATERIAL FAILURE PREDICTION: Demonstrating reliable ways of
predicting failure in lightweight materials with advanced simulation software
• ANALYTICAL MODELLING OF MULTI-MATERIAL JOINING: Striving
towards a universal understanding of joining and adhesion properties for
dissimilar materials and how to model and predict their behavior more
accurately
• COMPOSITE MODELING: Exploring methodologies for effective
simulation of composite materials to obtain reliable data on their life-cycle
and crash performance
• CRASH SAFETY & LIFECYCLE ANALYSIS: Minimizing costs related
to crash testing through effective crash safety simulation and lifecycle
prediction
Dr Venkat Aitharaju
Senior Researcher, Polymer Composites
General Motors
Umesh Gandhi
Principle Scientist
Toyota Research Institute
Anthony Smith
CAE Engineer – Automotive Safety
Honda R&D
Eric DeHoff
Principle Engineer Safety CAE
Honda R&D
Mingchao Guo
Senior Technical Specialist of Body
Durability CAE
Fiat Chrysler Automobiles
Steven Sheng
Formability Engineer
General Motors
Organized By:
Featuring Presentations And Panel Discussions On:

Register By Friday
November 20, 2015
SAVE
$400
www.modeling-simulation-lightweight-materials.com (1) 800 721 3915 info@american-business-conferences.com
Introducing the first OEM-driven conference with a focus on material and composite
modeling, joining simulation and lifecycle prediction for automotive lightweight
materials.
As the automotive industry looks to lightweighting to meet ever-increasing demands
for fuel-efficiency, the question of vehicle safety moves further to the forefront of vehicle
manufacturing. Accurate simulation of these new materials is one of the biggest
stumbling blocks for manufacturers, and so GALM is bringing experts together in a
unique environment offering:
• The only platform focusing on improving the understanding and in-simulation
modeling of material properties for composites, new aluminums, UHSS and
others materials
• A broad topic base encompassing presentations and panels responding to the
key challenges of material modeling, composite modeling, crash and joint
simulation with lightweight materials
• Unique opportunities for OEMs and solutions providers to network in a mutually
beneficial environment, questioning the parameters of existing software,
analyzing the latest challenges and considering potential solutions
• Multi-material as well as the material specific focus enables participants
to benefit from the in-depth overview of the latest material grades and their
respective properties for aluminum, composites and UHSS as well as their
performance in multi material applications
• Overarching focus on cost, time and quality parameters as the key
benchmarking criteria allows the selection of the most suitable solutions to the
pressing industry needs for cost effective mass production of lightweight vehicles
A series is a great
opportunity to learn
and network with
colleagues on the
latest materials and
technologies
BFO - Underbody, General Motors
Good relevant content,
good access to
presentations. Excellent
level of speaker
credentials
Senior Business Manager, SABIC
It was a quality and
informative event
with a broad range
of presentation and
discussion topics and
good representation of
OEMs, suppliers and
researchers
Project Engineer, Aston Martin
Lightweighting
being the hot topic
of the time, the panel
discussion by the OEMs
was the best of all I
have attended, with
good and frank lively
dialogue
Toyota
VENUE INFORMATION:
What Attendees Have Said
About Our Series:
Detroit Marriott Troy Hotel
200 W. Big Beaver Road, Troy, MI 48084
Tel: +1-248-680-9797
Web: www.marriott.co.uk

ALUMINUM & MULTI-MATERIAL JOINT MODELING & SIMULATION
Moving Towards Optimal Accuracy In Modeling & Simulation Of New Material And Joining Properties To
Achieve Reliable Future Performance Prediction
Day 1
Tuesday January 26, 2016
8.30 Chair’s Opening Remarks
KEYNOTE: MODELING AND SIMULATION
8.40 Presenting Strategies For Modeling And Simulation
of Lightweight Materials To Drive Forward Their Usage
In Automotive Manufacturing
• Reviewing the history of lightweight material modeling,
discussing existing and potential new challenges and
considering ways of attacking them
• Considering limitations of existing modeling
approach and highlighting areas for improvement and
optimization to improve the overall usage of modeling
software
• Outlining practices for developing reliable and useful
models of lightweight material properties to move
towards optimal design and performance.
• Presenting examples of lightweight material modeling
supporting simulation and design development to
improve the general understanding of material models
UmeshGandhi, PrincipleScientist,ToyotaResearchInstitute
ALUMINUM MODELING
Outlining Best Practice In Material Modelling To Maximize The
Potential For Upmost Accuracy In Material Behavior Prediction
Session Chair: Kishore Pydimarry, Safety CAE
Technical Expert, Honda R&D
MODELING ANISOTRPIC EXTRUDED ALUMINUM
9.20 Presenting, Explaining And Illustrating Changes
To Anisotropic Extruded Aluminum Models To Improve
Simulative Accuracy And Robustness
• Reviewing the anisotropic material models available
in LS-Dyna to identify the limitations of the existing
models
• Outlining the most appropriate choice for application
towards analysis of extruded aluminum parts under
both static and dynamic loads for stability in simulated
representation
• Explaining improvements to the material models
including increase input parameters to enable the
input of hardening curves detailing the material
stress-strain response in shear and biaxial loading
conditions
• Validating the new robust model to appropriate test
data to demonstrate the validity of the new model
AnthonySmith, CAEEngineer-AutomotiveSafety,HondaR&D
9.50 Question & Answer Session
10.00 Networking Break In Exhibition Showcase Area
FRACTURE PREDICTION
10.30 Moving Towards Robust Material Models To
Enhance Predictive Capability For Aluminum Fracture
• Outlining methodologies for the accurate prediction
and simulation of aluminum fracture in crash
situations to drive forward safety testing for lightweight
vehicles
• Discussing fraction prediction for lightweight
aluminum in the context of frontal, side and rear
impact simulation to uncover the key areas for
methodological improvement
• Understanding ways to cut-down on costly extraneous
variables used for compensating for material
unpredictability
MATERIAL FAILURE SIMULATION
11.10 Laying Out Effective CAE Methodologies For
Predicting Aluminum Failure In Crash Situation To
Improve Simulation Accuracy And Time-Efficiency
• Outlining the key challenges in the field of predicting
lightweight aluminum failure states to improve
understanding of current and future confounding
variables in material simulation
• Delivering material constitutive laws and empirical
failure criteria for lightweight aluminum to ensure
accuracy of aluminum simulation
• Presenting empirical data on the failure modes of
lightweight aluminum to facilitate simulation accuracy
Dr Horst Lanzerath, Team/Technical Leader Advanced
Material CAE, Ford
ALUMINUM JOINING
11.50 Demonstrating Methodologies For Simulating
Welding And Joint Failure In Lightweight Aluminum To
Optimize Crash Safety Simulation And Reduce Testing
Costs
• Discussing and overcoming the challenges
surrounding simulation of lightweight aluminum joints
• Presenting empirical data for the material properties
of welds and adhesive connections for lightweight
aluminum to facilitate representative material models
• Outlining principles for the accurate modeling of
adhesion for lightweight aluminum to foster reliable
simulated testing
12.30 Networking Lunch In The Exhibition Showcase Area
MATERIAL JOINING SIMULATION
Evaluating Connection Properties Across The Entire
Lightweight Material Spectrum To Optimize Joint Efficiency In
Multi Material Applications
Chaired by Eric DeHoff, Principle Engineer Safety CAE,
Honda R&D
PANEL DISCUSSION: MULTI-MATERIAL JOINING
1.30 Sharing Best Practice In Modeling Joints Between
Materials With Dissimilar Properties To Overcome
Fundamental Challenges In Effective Joint Modeling
• Discussing techniques for modeling connections
between materials with dissimilar properties with a
goal of improved accuracy in simulation
• Considering issues of cost and time restraints for
modeling dissimilar materials and suggesting ways of
overcoming them
• Generating an overall improvement in joint simulation
by taking into account challenges in simulating joints
between materials with different corrosive and fatigue
and life cycle properties
• Outlining limitations in current modeling technologies
and suggesting realistic optimizations
COMPOSITE JOINING FAILURE SIMULATION
2.10 Introducing Fatigue Property Tests and Durability
CAE Modeling Activities For UHSS and Aluminum To
Facilitate Reliable Simulated Testing
• Bringing a deep understanding of fatigue property
durability CAE modeling for multi-material joints to
advance safety test reliability
• Presenting details for resistance spot weld joints with
stack-ups of UHSS and Aluminum with and without
adhesive to demonstrate accuracy in spot-weld
modeling
• Outlining testing criteria for glass fiber reinforced
polypropylene joints to improve the understanding of
their durability
• Demonstrating SPR and FDS with stack-ups of
aluminum and steel with and without adhesive in order
to improve the understanding of their dynamics and
limitations in simulation
Dr Mingchao Guo, Senior Technical Specialist of Body
Durability CAE, Fiat Chrysler Automobiles
SIMULATION WITH ADHESIVES
2.50 Enabling Accuracy in Modeling Joining Properties
With Adhesives To Achieve Reliable Safety Simulations
• Outlining reliable methodologies for the accurate
modeling of adhesion between materials with
dissimilar properties
• Devising time and cost-efficient methods to
simulate adhesive properties & ensure a sustainable
development cycle
• Presenting empirical data to achieve accurate
representation of material adhesives properties
3.30 Networking Break In The Exhibition Showcase Area
NUMERICAL SIMULATION OF JOINTS
4.00 Assessing Advancements In Modeling of Joints
for Lightweight Materials To Optimize Numerical
Simulations Practices
• Promoting a better understanding of the modeling
properties of welds and rivets to optimize simulations
• Outlining principles for accuracy with relation to
simulative joining properties of welds in the context of
lightweight materials
• Outlining principles for accuracy with relation to
modeling the properties of rivets in the context of
lightweight materials
• Advising on ways of maintaining cost and time-
efficiency for reliable systematic virtual testing of joints
RELIABLE BEHAVIOR SIMULATION
4.40 Demonstrating Reliable Techniques for Simulating
Sheer, Bend and Load-Testing for Lightweight Joints
To Facilitate Optimal Time-Efficiency in Product
Development
• Presenting accurate methods for simulating
lightweight joint performance under stress situations
to reduce the need for trial-and-error testing
• Outlining methods for predicting the strength and
ductility of multi-material joints to generate robust
failure models
• Showing examples of accurate load-test modeling and
suggesting techniques for optimal simulation
5.20 Chair’s Closing Remarks

9.00 Chair’s Opening Remarks
COMPOSITE MATERIAL MODELING
Confronting The Challenges In Simulating Composite Materials
To Achieve Cost Effective Wide Scale Adoption
COMPOSITE FAILURE PREDICTION
9.10 Predicting Crash Performance And Failure States
In Composite Materials To Minimize Costs Of Physical
Testing
• Suggesting optimal methodologies for accurately
simulating behavior of composite materials in stress
situations to improve reliability and accuracy of crash
simulations
• Expediting crash simulation accuracy with new
materials by presenting methods for predicting
composite material failure in crash simulation
• Understanding relevant limitations in existing
simulation software to suggest optimizations and
improvements for more efficient testing
Dr Venkat Aitharaju, Staff Researcher, General Motors
COMPOSITE PROPERTY MODELING
9.50 Achieving Optimal Accuracy In The Modeling Of
Composite Properties For Carbon Fiber, Glass Fiber
And Plastics To Enable Effective Numerical Simulation
• Discussing challenges with existing composite
modeling capabilities to move towards accurate
representation of material characteristics of
composite materials
• Outlining methodologies for accurately representing
the material data of composite materials to facilitate
reliable, cost-effective testing
• Presenting empirical data for the material properties
of lightweight composite materials to move towards a
universal understanding of composite materials
• Considering carbon fiber and glass fiber composite
properties to suggest alternative materials for
potential future developments in composite
manufacture
10.30 Afternoon Refreshments In The Exhibition Showcase
Area
COMPOSITE CRASHWORTHINESS
11.00 Demonstrating Techniques for Modeling Thin-
Walled Composite Structures in Crash Situations to
Improve Simulation Ability for Composite Tubes in
Crash Situations
• Discussing the unique challenges in composite
crashworthiness prediction to further understand the
requirements for simulation development
• Outlining developments in composite constitutive
models and modeling techniques to bring industry and
academia closer together
• Presenting an enhanced continuum damage
mechanics model and a shell-beam modeling method
to designed to enhance the predictive capabilities of
thin-walled composites.
• Presenting improvements in simulations of composite
tubes under axial crash loading to push forward the
use of composites in automotive manufacturing
Dr Xinran Xiao, Professor of Mechanical Engineering,
Michigan State University
FUTURE COMPOSITE APPLICATION
11.40 Discussing the Future Developments in
Composite Material Simulation To Navigate Obstacles
And Assess Potential Future Applications
• Understanding the simulation-related challenges
confounding the further use of composite materials in
automotive construction to facilitate their further use
in automation
• Evaluating software, cost, time & predictive limitations
to improve understanding of key challenges and find
solutions for cost effective composite use
• Discussing developing industry trends in simulation
and construction to better understand the future
direction of the industry over 3-5 years time horizon
12.20 Networking Lunch In Exhibition The Showcase Area
MAGNESIUM AND ULTRA HIGH STRENGTH STEEL
Tackling The Challenges Surrounding Ultra High Stregth Steel
And Magnesium Simulation
MAGNESIUM ALLOY FRACTURE PREDICTION
1.20 Predicting Fracture In Warm Forming Magnesium
Alloy Sheet Material By Using FEM Forming Limit
Surface To Facilitate Magnesium Alloy Usage In
Lightweighting
• Constructing Zenner-Holloman forming limit surface
(Z-FLS) for magnesium alloy sheet metal to facilitate
fracture prediction
• Demonstrating implementations of Z-FLS in the
modeling and testing of magnesium alloys for
reliability in behavior simulation
• Presenting FEM solutions for modeling AZ31
sheet metals for heightened accuracy in predictive
simulation
• Outlining Z-FLS methodologies for predicting fracture
of magnesium alloy to determine feasibility for usage
in lightweighting
Steven Sheng, Formability Engineer, General Motor
UHSS MODELING
2.00 Examining Modeling Methodologies, Material
Properties And Joining Of Ultra High Strength Steels To
Benchmark Its Performance Against Other Materials
• Accurately modeling properties for ultra high-strength
steels to improve simulation efficiency
• Suggesting methodologies for simulating UHSS
materials in crash situations to enable analytical data
collection
• Outlining and modeling welding, riveting and adhesion
properties for UHSS in multi-material bodies to
achieve best results in numerical simulation software
• Modeling failure states for ultra high strength steels to
achieve increased reliability in crash simulation
CRASH SAFETY & LIFECYCLE PREDICTION
Optimizing Simulation Methods To Achieve Reliable Data On
Crash Safety & Lifecycle Prediction
SIMULATED LIFECYCLE PREDICTION
2.40 Developing Techniques to Optimize Accuracy
in Predicting Fatigue and Lifecycles for Lightweight
Materials
• Outlining the effects of long-term road use on
lightweight component road and crashworthiness to
establish the challenges caused by lightweight fatigue
• Presenting non-linear simulation techniques to predict
lightweight material fatigue within simulation software
to optimize software application in lifecycle testing
• Benchmarking how UHSS deteriorates over time
as compared to traditional metals to aid in future
development of multi-material vehicles
• Discussing the long-term capabilities and limitations
of lightweight material components to generate
a better understanding of their potential in future
manufacture
3.20 Networking Break In The Exhibition Showcase Area
SIMULATION/PHYSICAL TEST CORRELATION
3.50 Correlating Analytical Data for Lightweight
Material Simulation to Physical Crash Testing To
Develop Cycle Optimization
• Outlining techniques for ensuring the highest possible
correlation between crash simulation data and
physical testing for lightweight components to reduce
the number of physical tests required
• Moving towards an understanding of the importance
of accurate material models to achieve time and cost-
effective testing
• Improving safety system integration by effectively
correlating simulation data across an entire vehicle
system
• Demonstrating methodologies to improve the
cost-efficiency of crash testing through accuracy in
simulation
COST EFFICIENCY IN TESTING
4.30 Outlining Methods To Reduce The Cost Of
Simulated Crash Testing Of New Materials To Ensure
Feasibility Of Lightweight Material Construction
• Exploring time and cost-reduction techniques for the
simulated testing of lightweight materials
• Considering methods for improved cost-efficiency in
empirical data collection
• Demonstrating examples of cost-efficient material and
composite modeling as tactile examples of theoretical
methods
• Setting out time-reduction techniques for lightweight
crash simulation to streamline product development
cycles
PANEL DISCUSSION: INDUSTRY DEVELOPMENT
5.10 Discussing Current and Future Challenges in the
Field of Lightweight Material Simulation to Determine
Industry Direction and Needs
• Considering potential future challenges facing
simulation of new materials in the contexts of active
and passive safety to aid understanding of the potential
pitfalls
• Exploring existing issues of technological limitations
facing lightweight material simulation with a view to
outlining practical solutions
• Identifying industry trends in simulation practice
to facilitate furthering of lightweight material
development for vehicle construction
5.45 Chair’s Closing Remarks And End Of Conference
Day 2
Wednesday January 27, 2016
COMPOSITE,MAGNESIUM AND UHHS MODELING & MATERIAL LIFECYCLE PREDICITON
Leveraging Simulation Methods For Composite, Magnesium And UHSS And Predicting Lifecycles Of
Lightweight Materials To Achieve Efficiency In Time, Cost And Quality Performance

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