Machine Learning for Real-time Parametric CAE Simulations, Optimization and Robustness with CADLM

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Date and Time: 21 May, 2020 at:
08:00 AM India (GMT+5:30)
10:30 AM Singapore, Malaysia, Philippines (GMT+8)
09:30 AM Jakarta, Indonesia, Thailand


Duration: 60 Minutes

During the past few decades, there has been tremendous progress in the field of simulations. The maturity of the algorithms, the validation of the software, the speed of the implementations and the scalability to run in parallel. We also have seen many-fold increase in HPC capacity.

The effect of the above is that today all scenarios can be simulated, and we can replace the physical testing altogether. This speeds up the overall development process and saves costs. Because of the much smaller development cycle, we would now like to validate/simulate more number of design iterations.

While the cost to evaluate a few design iterations via simulation remains low, the evaluation of multiple design parameter combinations early in the design stage can lead to non-viable computation times in an industrial context. Machine learning techniques can provide performance predictions instantly by leveraging existing knowledge, which can, in turn, be generated by simulation.

Join us to learn how CADLM’s machine learning platform, ODYSSEE, can provide better, reliable, reproducible engineering judgments from the existing knowledge pool of simulations. It will also cover how Machine Learning can be used in the field of optimizations.

Who should attend?


  • Anyone who does engineering simulations as their profession
  • Analysts who use any kind of non-linear simulations or where the simulation time is longer
  • Analysts who use any kind of simulations which is repetitive in nature
  • All domains, Crash, CFD, MBD, NVH, Durability
  • Project Managers
  • Engineering Managers



Speaker

Debashis Karmakar,
Senior Manager, MSC Software

Debashis Karmakar has over 19 years of experience in software development and solution implementation in the field of CAE, CFD, SPDM, AI and ML. After doing M. Tech from IIT Kanpur, he joined Bhabha Atomic Research Centre for 5 years. Later he joined MSC Software where he is working on new technologies and initiatives from over 14 years. He has deployed SPDM platform SimManager at multiple auto OEMs. Currently he is working on Machine Learning application to CAE and Simulations.

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Upcoming Webinar:

Improving Simulation of Autonomous Vehicles through ADAS/AD HiL-System integration

Date: Friday, 22 May, 2020

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