Automotive Panel Discussion 3


This panel session was held at the 2021 NAFEMS World Congress

Discussion topics
Automotive 2
- Prototyping
– Valuable knowledge or misleading information? [Experience exchange – In which cases are prototypes less confident]
- Your product behaves differently
– What to do? [Management of varying results]
- Combination of known and unknown
- Artificial Intelligence in simulation with limited amount of training data

Automotive 3
- What does Virtual Simulation impact Automotive Mass Production. Product design, manufacturing efficiencies,…??
- How does system digital thread best used for vehicle performance simulation?
- What simulation methods are best used to model and drive automotive sensor operation and design?
- How to make CAE analysis for automotive development robust enough to eliminate physical testing?
- Incorporation of DFSS?
- Integration of AI/ML?
- Establishing a total System Engineering process through use of MBSE?
- Integration of simulation in both design and manufacturing space?

Automotive - Crash
Crash simulations are CPU intensive, what advances are needed to fasten the computation time?
With so much crash data available (test and CAE) is AI/Machine Learning a good alternative to reduce the computation time?
What are the major gaps in crash simulation technology that once in place will provide drastic reduction in physical testing?

Document Details

Reference

NWC21-948-c

Authors

Felice. M;Dirschmid. W;Stadler. S;Pohl. T;Noack. J

Language

English

Type

Presentation Recording

Date

2021-10-28

Organisations

virsolTech Engineering Consulting;Stellantis;ZF

Region

Global

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