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Unleash the Power of Generative Design for Lightweighting and Reducing Carbon Footprints in Automotive Engineering Altair Engineering

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Hosmath, Anjaney, author.
Contributor:
Barai, Jay
Dhangar, Vinaykumar
Conference Name:
WCX SAE World Congress Experience (2025-04-08 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
The automotive industry faces ongoing challenges in reducing vehicle mass and carbon emissions while ensuring structural integrity. Traditional design approaches often fail to address these issues comprehensively. This paper explores the application of generative design (GD) to optimize critical automotive components, specifically focusing on reducing mass and in turn carbon emissions. GD builds upon traditional topology optimization by employing iterative method using MELS approach to refine designs providing multiple alternative designs to choose from. MELS (Modified Extensible Lattice Sequence) specifically is used to equally spread-out points (designs) in a space by minimizing clumps and empty spaces. This property of MELS makes lattice sequences an excellent space filling DOE scheme. GD leverages the design of experiments (DOE) to vary key design variables systematically to generate and consider many potential design concepts for a given problem. It also uses artificial intelligence (AI) to group solutions into concept families, uncovering innovative geometries that conventional methods may overlook. Current CAE challenges, such as lengthy development cycles and limited design exploration, are addressed by rapidly generating multiple solutions, which enables more efficient product development. In conclusion, GD presents a significant opportunity to come up with intelligent variations for design improvement that are otherwise difficult to see in a multi-dimensional application
Notes:
Vendor supplied data
Publisher Number:
2025-01-8657
Access Restriction:
Restricted for use by site license

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