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Crash Analysis trends in the Automotive Industry Dilip Bhalsod 2017 3 rd China LS-DYNA User’s conference 1

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Crash Analysis trends in the Automotive Industry

Dilip Bhalsod2017 3rd China LS-DYNA User’s conference

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Vehicle models in 1986

3500 elements

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Model size today

small overlap

• Total number of elements: 17 200 000• Simulation time: 250ms • Number of CPU’s: 480• Run time: 84h• Number of elements reduced from 19 400 000 (two

complete cars) due to memory issues.

Cores per job trend

1 core

480 cores

Numbers of cores per jobIncrease ~20% yearly

1986 2017

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Crash model size Increase trend

Model size increase ~30% yearly

3500 elementsIn 1986

14 millionelements today

1986 2017

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Today’s challenges

Airbags, material failure, spotweld failureDeformable wheel rims, deflation of tires,Glass failure, dummies, suspension parts breakable

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Required for Validation through CAE

• Accurate material models

• Failure in materials

– Plastics, metal, glass

• Accurate modeling of tires, material failure in tire models

• Suspension links, sub-frame need to consider breaking parts

• Spotweld failure modeling very critical

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Required for Validation through CAE

• Accurate dummy modeling

– Human body modeling

• Airbag modeling

– Driver, passenger, knee, head-thorax, curtain

• Deformable barrier modeling

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Challenges of todays crash models

Challenges of todays crash models

• Typical crash models now range between 5 to 15 million elements

• 96 -256 cpus per job

• Common mesh for Crash, NVH and Durability analysis

• Possible to move from mpp-lsdyna to hybrid-lsdyna to improve job turnaround times.

• Ford study of 100 million element model revealed issues– for pre-processing , solver and post-processing

– More than 100 Gb memory needed to load 100 million element model

– Fringing of plastic strain took several hours

• Use of different unit system by different departments within a company results in confusion and time loss

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Challenges of todays crash models

• Material Fracture• Sensing• Restraint system modeling• Positioning seats for different load cases• Friction between parts• Connectors

– BOLTS, SPR, SPOTWELD, MIG WELD

• Sled creation– Pulse convert from full vehicle– Restraint modeling

• Automated Bolt Modeling (with Pre-stress)• OneStep Forming (Manufacturing data)

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Challenges of todays crash models

• Chassis modeling– Knuckle, ball joints, control arms

• Electrical cables• Windscreen• Active hood• Ped pro zones mapping• Occupant injury report• HAZ modeling• Strain mapping on fuel tanks from manufacturing

process• Fabric Tearing and package tear in OOP

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Material Models

29 in 1986

Over 300 material modelstoday to capture accurate modeling of materials

2017

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LSTC family of Dummies and barriers

ECER95shell

IIHSshell/solid

ODBshell/hybrid

214shell/solid

AE-MDBshellRCAR Barrier RMDB MCB rigid PDB barrier

LSTC PDB Model Validation for Global NCAP

Progressive Deformable Barrier

Rigid curved barrier model forFMVSS 301

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Laminated glass modeling

• Accurate modeling of glass critical for:– Pedestrian protection

– Roof crush

– FMVSS 208

*MAT_280/*MAT_GLASS

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Combined FEA + IGA – Accurate geometry

Talk 6.2 Current Status of LS-DYNA® Iso-geometric Analysis in Crash Simulation Y. Chen, S-P. Lin, O. Faruque, J. Alanoly, M. El-Essawi, R. Baskaran

Accurate airbag modeling

• Driver, passenger, side, curtain, knee....– Airbag folding

– Uniform pressure or CPM method

– Accurate venting methods

• Vent holes

• Porosity

• Adaptive vents

• Pushout vents

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Airbag Folding Process Demonstration- Courtesy of Autoliv

Simulation Folding

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Curtain bag roll folding

Driver side airbag folding

Simulation Folding – packaging curtain airbag

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Simulation Folding –Encapsulating airbag

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New airbag venting methodsPush out vent

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New Method to capture Accurate Bag Kinematics

Current method IAIR=2

New method IAIR=4

Airbag deformed shapes at 42 ms

Courtesy of Autoliv

Chambers did not get filled in time

Improved airbag deployment

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Multi-Physics

FEM

SPHALE Particle GasDEM

Coupled Multi-Physics Solver

ICFD The Driver benchmark is part of the QA

Designed by TUM, Inst. For Aerodynamics. The objective is to perform automotive aerodynamics validation. It is a generic reference model with a modern car geometry. There is wind tunnel experimental data for comparison. LS-DYNA provides

excellent agreement with the experimental data.

Configuration used in the study F_D_wM_wW. Fastback_Detailed underbody_with Mirrors_with Wheels

ICFD DEM coupling

Mud and Snow Deposition. Potential applications include drug delivery, erosion of river bed and FSI using particle

bonding capabilities

DEM with capillary force coupled to a turbulent flow

Electric vehiclesEM - New battery module

Lithium-Ioncell

What happens to batteries in a crash- short circuit and heat generation

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Mapping forming effects Automation flow

Vehicle Model

Choose parts to be stamped

Prepare Onestep Model

Include results to map data into crash Analysis model

Run LSDYNA

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Crash models

• Automotive companies focus on building

body models and using supplier provided

models like:– Airbag and streering wheel assembly

– Seat models

– Steering column

– Instrument panel

• With this approach subsystems are

validated by suppliers.

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ImplicitLS-OPTLS-TaSC

Human Body Modeling

Implicit Roof Crush

• No speed up• Robust• Comparable to explicit

Satish Pathy and Thomas Borrvall,”Quasi-Static Simulations using Implicit LS-DYNA” 35

LS-OPT MDO: Vehicle Crash and Body Dynamics

6 Crash Modes + Body Dynamics Mode:

- approximately 3 million element models

Allen Sheldon, Ed Helwig (Honda R&D)

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𝑣0 = 0.3 𝑚𝑚𝑚𝑠

1.LC

2.LC𝑣0 = 0.3 𝑚𝑚𝑚𝑠

Shape optimizationLS-TaSC Example: Bottle opener

Starting design and load cases

Material: plastic

Desired mass fraction 0.4

Geometry Constraint Extrusion

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1st Principal Stress

Shape optimizationLS-TaSC Example: Bottle opener

Results

From Initial Design to Optimized Structure (density distribution)

Iso-surface

Start from solid

End with mass optimized shape

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Human body models

Today’s research interestinterests in the automotive industry

A number of companies are activelyworking in this area

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