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Automotive industry is experiencing a transformative change in car research and engineering, from a traditional mechanical world to digital assimilation and reinvention. A lot of emerging technologies such as machine learning, 3D printing, multi-scale and reduced-order modeling, interactive safety systems and autonomous driving are targeting the automotive industry for this digital transformation. On the other hand, the reinforcement in regulations with respect to environmental and crashworthiness standards will continue to raise car costs as well as increase design complexity when modern automobiles such as electric and self-driving cars effectively come to dominate the market. 

 

An advanced CAE tool integrating the data in the linkage of process-structure-property-assembly-performance is a time and cost effective enabler, a means for facilitating this digital transformation while boosting the energy economy and improving safety and performance in modern automobile design and analysis.

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The Process-Structure-Property-Assembly-Performance chain

in the multi-scale and multi-physics car manufacturing and safety simulation

Provide advanced CAE tools to help customers meet design goal

  • Environmental and safety regulations: new material and manufacturing

  • Electric vehicle, autonomous driving: integration of multi-physics

Crashworthiness, Model reduction, User interface, Digital twins

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Design optimization

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Corrosion, Fatigue, ...

Design optimization

Simulation data

Design optimization

Residual stress/strain, defect, ...

  • Joints

  • Base materials

  • Solids and shells

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  • High performance

  • Light-weighted

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Metal alloy, CFRP, 3D printing 

  • Mechanistic machine learning

  • Training data

  • Efficient solver

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Micro-meso linking

RVE / SVE database

Mapping data / AI

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