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The only OEM-led event with a focus on simulation andmodeling 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

Expert Speaker Panel Includes:

MFollow us @UnconventOilGas

www.modeling-simulation-lightweight-materials.com

Register By FridNovember 20, 2

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-cycleand crash performance

CRASH SAFETY & LIFECYCLE ANALYSIS: Minimizing costs related

to crash testing through effective crash safety simulation and lifecycle

prediction

Dr Venkat AitharajuSenior Researcher, Polymer Composites

General Motors

Umesh GandhiPrinciple Scientist

Toyota Research Institute

Anthony SmithCAE Engineer Automotive Safety

Honda R&D

Eric DeHoffPrinciple Engineer Safety CAE

Honda R&D

Mingchao GuoSenior Technical Specialist of BodyDurability CAE

Fiat Chrysler Automobiles

Steven ShengFormability Engineer

General Motors

Organized By:

Featuring Presentations And Panel Discussions On:


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Register By FridNovember 20, 2

SAVE$400

www.modeling-simulation-lightweight-materials.com (1) 800 721 3915 [email protected]

ntroducing 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

or fuel-efficiency, the question of vehicle safety moves further to the forefront of vehiclemanufacturing. Accurate simulation of these new materials is one of the biggest

tumbling blocks for manufacturers, and so GALM is bringing experts together in a

nique environment offering:

The only platform focusing on improving the understanding andin-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

beneficialenvironment,questioning the parameters of existing software,

analyzing the latest challenges and considering potential solutions

Multi-material as well as the material specific focusenables 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 parametersas the key

benchmarking criteria allows the selection of the most suitable solutions to thepressing industry needs for cost effective mass production of lightweight vehicles

A series is a greatopportunity to learnand network withcolleagues on thelatest materials andtechnologies

BFO - Underbody, General Motors

Good relevant contentgood access topresentations. Excellenlevel of speakercredentials

Senior Business Manager, SABIC

It was a quality andinformative eventwith a broad rangeof presentation anddiscussion topics andgood representation ofOEMs, suppliers andresearchers

Project Engineer, Aston Martin

Lightweightingbeing the hot topicof the time, the paneldiscussion by the OEMwas the best of all Ihave attended, withgood and frank livelydialogue

Toyota

VENUE INFORMATION:

WHAT ATTENDEES HAVE SAIDABOUT OUR SERIES:

Detroit Marriott Troy Hotel

00 W. Big Beaver Road, Troy, MI 48084

el:+1-248-680-9797

Web: www.marriott.co.uk


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ALUMINUM & MULTI-MATERIAL JOINT MODELING & SIMULATIONMoving Towards Optimal Accuracy In Modeling & Simulation Of New Material And Joining Properti

Achieve Reliable Future Performance Prediction

Day 1Tuesday January 26, 2016

.30Chairs Opening Remarks

EYNOTE: MODELING AND SIMULATION

.40Presenting Strategies For Modeling And Simulation

f Lightweight Materials To Drive Forward Their Usage

n 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 modelingapproach 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

mesh Gandhi,Principle Scientist,Toyota Research Institute

ALUMINUM MODELING

Outlining Best Practice In Material Modelling To Maximize The

otential For Upmost Accuracy In Material Behavior Prediction

ession Chair: Kishore Pydimarry, Safety CAEechnical Expert,Honda R&D

MODELING ANISOTRPIC EXTRUDED ALUMINUM

.20Presenting, Explaining And Illustrating Changes

o Anisotropic Extruded Aluminum Models To Improve

imulative 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 modelsincluding 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

nthony Smith,CAE Engineer -Automotive Safety,Honda R&D

.50Question & Answer Session

0.00Networking Break In Exhibition Showcase Area

RACTURE PREDICTION

0.30Moving Towards Robust Material Models To

nhance Predictive Capability For Aluminum FractureOutlining 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

1.00Question & Answer Session

MATERIAL FAILURE SIMULATION

11.10Laying 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 empiricalfailure 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 AdvancedMaterial CAE,Ford


ALUMINUM JOINING

11.50Demonstrating 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


12.30Networking 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

1.30Sharing 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 fatigueand life cycle properties

Outlining limitations in current modeling technologies

and suggesting realistic optimizations


COMPOSITE JOINING FAILURE SIMULATION

2.10Introducing 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

stack-ups of UHSS and Aluminum with and witho

adhesive to demonstrate accuracy in spot-weld

modeling

Outlining testing criteria for glass fiber reinforce

polypropylene joints to improve the understandin

their durability

Demonstrating SPR and FDS with stack-ups ofaluminum and steel with and without adhesive in

to improve the understanding of their dynamics a

limitations in simulationDr Mingchao Guo, Senior Technical Specialist of BoDurability CAE,Fiat Chrysler Automobiles


SIMULATION WITH ADHESIVES

2.50Enabling Accuracy in Modeling Joining Prope

With Adhesives To Achieve Reliable Safety Simula

Outlining reliable methodologies for the accurate

modeling of adhesion between materials with

dissimilar properties

Devising time and cost-efficient methods tosimulate adhesive properties & ensure a sustaina

development cycle

Presenting empirical data to achieve accurate

representation of material adhesives properties


3.30Networking Break In The Exhibition Showcase A

NUMERICAL SIMULATION OF JOINTS

4.00Assessing Advancements In Modeling of Join

for Lightweight Materials To Optimize Numerical

Simulations Practices

Promoting a better understanding of the modelin

properties of welds and rivets to optimize simulat

Outlining principles for accuracy with relation tosimulative joining properties of welds in the conte

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


RELIABLE BEHAVIOR SIMULATION

4.40Demonstrating Reliable Techniques for Simul

Sheer, Bend and Load-Testing for Lightweight Join

To Facilitate Optimal Time-Efficiency in Product

Development

Presenting accurate methods for simulating

lightweight joint performance under stress situat

to reduce the need for trial-and-error testing

Outlining methods for predicting the strength and

ductility of multi-material joints to generate robu

failure models

Showing examples of accurate load-test modelin

suggesting techniques for optimal simulation


5.20Chairs Closing Remarks



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.00Chairs Opening Remarks

COMPOSITE MATERIAL MODELING

onfronting The Challenges In Simulating Composite Materials

To Achieve Cost Effective Wide Scale Adoption

OMPOSITE FAILURE PREDICTION

.10Predicting Crash Performance And Failure States

n Composite Materials To Minimize Costs Of Physical

esting

Suggesting optimal methodologies for accuratelysimulating 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

.40Question & Answer Session

OMPOSITE PROPERTY MODELING

.50Achieving Optimal Accuracy In The Modeling Ofomposite Properties For Carbon Fiber, Glass Fiber

nd 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


0.30Afternoon Refreshments In The Exhibition Showcase

rea

OMPOSITE CRASHWORTHINESS

1.00Demonstrating Techniques for Modeling Thin-

Walled Composite Structures in Crash Situations to

mprove Simulation Ability for Composite Tubes in

rash 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

11.40Discussing 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 limitationsto 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


12.20Networking 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

1.20Predicting Fracture In Warm Forming Magnesium

Alloy Sheet Material By Using FEM Forming Limit

Surface To Facilitate Magnesium Alloy Usage InLightweighting

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 Motor1.50Question & Answer Session

UHSS MODELING

2.00Examining 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 toachieve increased reliability in crash simulation


CRASH SAFETY & LIFECYCLE PREDICTION

Optimizing Simulation Methods To Achieve Reliable Data On

Crash Safety & Lifecycle Prediction

SIMULATED LIFECYCLE PREDICTION

2.40Developing 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 p

lightweight material fatigue within simulation sof

to optimize software application in lifecycle testin

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 limitat

of lightweight material components to generatea better understanding of their potential in future

manufacture


3.20Networking Break In The Exhibition Showcase A

SIMULATION/PHYSICAL TEST CORRELATION

3.50Correlating Analytical Data for Lightweight

Material Simulation to Physical Crash Testing To

Develop Cycle Optimization

Outlining techniques for ensuring the highest pos

correlation between crash simulation data and

physical testing for lightweight components to re

the number of physical tests required

Moving towards an understanding of the importa

of accurate material models to achieve time and effective testing

Improving safety system integration by effectively

correlating simulation data across an entire vehic

system

Demonstrating methodologies to improve the

cost-efficiency of crash testing through accuracy

simulation


COST EFFICIENCY IN TESTING

4.30Outlining Methods To Reduce The Cost Of

Simulated Crash Testing Of New Materials To Ens

Feasibility Of Lightweight Material Construction

Exploring time and cost-reduction techniques for

simulated testing of lightweight materials

Considering methods for improved cost-efficienc

empirical data collection

Demonstrating examples of cost-efficient materi

composite modeling as tactile examples of theor

methods

Setting out time-reduction techniques for lightwe

crash simulation to streamline product developm

cycles


PANEL DISCUSSION: INDUSTRY DEVELOPMENT

5.10Discussing Current and Future Challenges in

Field of Lightweight Material Simulation to Determ

Industry Direction and Needs

Considering potential future challenges facingsimulation of new materials in the contexts of act

and passive safety to aid understanding of the po

pitfalls

Exploring existing issues of technological limitati

facing lightweight material simulation with a view

outlining practical solutions

Identifying industry trends in simulation practice

to facilitate furthering of lightweight material

development for vehicle construction


5.45Chairs Closing Remarks And End Of Conferenc

Day 2Wednesday January 27, 2016


COMPOSITE, MAGNESIUM AND UHHS MODELING & MATERIAL LIFECYCLE PREDICITLeveraging Simulation Methods For Composite, Magnesium And UHSS And Predicting Lifecycles O

Lightweight Materials To Achieve Efficiency In Time, Cost And Quality Performance


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