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Designing the Future with Optimization-Led Design & AI/ML Solution

NAFEMS Americas and Digital Engineering (DE) teamed up (once again) to present CAASE, the (now Virtual) Conference on Advancing Analysis & Simulation in Engineering, on June 16-18, 2020!

CAASE20 brought together the leading visionaries, developers, and practitioners of CAE-related technologies in an open forum, unlike any other, to share experiences, discuss relevant trends, discover common themes, and explore future issues, including:
-What is the future for engineering analysis and simulation?
-Where will it lead us in the next decade?
-How can designers and engineers realize its full potential?
What are the business, technological, and human enablers that will take past successful developments to new levels in the next ten years?



Resource Abstract

The technology landscape for design engineering tools continues to shift and evolve. Design solutions, like Artificial Intelligence (AI) and Machine Learning (ML), are becoming entrenched in the design and analysis engineer‘s toolbox to speed up simulation time on all fronts, specifically in crash & occupant safety, CFD, and optimization simulations.



The two technologies, "Optimization Driven Product Design" and "AI/ML," are responding to the three primary challenges faced by OEMs and Tierone suppliers worldwide: process collaboration, cost reduction, and to shorten product development cycle time.



The future of product design and development for Electric Vehicles (EV) and Battery Electric Vehicles (BEV) for OEMs and suppliers relies on common platform and technology, shorter vehicle development duration, and lightweighting. However, this is an uphill battle, in which they must design and produce products requiring a balance between a variety of competing factors. These frctors include cost, mass, multi-disciplinary performance, multi-material function, joining, and manufacturability. Furthermore, they must achieve this balance while meeting new regulations in the EU, North America, and Asia.



The ACP OpDesign capabilities include:

• An environment created to provide the ability to assist the product design team in balancing stiffness, strength performance, and weight constraints in BIW or any sub-system structure.

• An optimization system that allows a user to perform any type of optimization in real-time within the ACP OpDesign/ANSA/META environment.



This research shows that using the integration of ACP OpDesign and the ODYSEE (AI/ML) tools platform can dramatically reduce product design and analysis time for full vehicle design. The efficiency of the integration of ACP OpDesign and the ODYSEE software solution for full vehicle Low Fidelity Design Concept (LFDC) of FSV (Future Steel Vehicle) and the high fidelity design for a few sub-systems for manufacturing are demonstrated. The presentation will provide an overview of the optimized design approach using ACP OpDesign and ODYSEE ML tools for front crash and torsional stiffness load cases.



This integration structure based on the generative design, 3G design optimization and AI/ML solution provides a much faster turnaround for any optimization led-design process such as ACP OpDesign.

Document Details

ReferenceC_Jun_20_Americas_123
AuthorFarahani. A
LanguageEnglish
TypePresentation
Date 16th June 2020
OrganisationETA Inc
RegionAmericas

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