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Optimization of high stiffness of vehicle electronic equipment cabinet based on topography optimization

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

Pages 533 - 536

https://doi.org/10.1145/3584376.3584471

Published: 19 April 2023 Publication History

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Abstract

The modal analysis of the on-board electronic cabinet is carried out. Through the topography optimization analysis, the first-order natural frequency is selected as the objective function of the topography optimization, and the high-stiffness optimization of the on-board electronic cabinet is carried out. The results show that the stiffness of the vehicle-mounted electronic equipment cabinet is significantly enhanced after the morphology optimization is carried out by this method, and the anti-vibration performance is significantly improved.

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

December 2022

1396 pages

ISBN:9781450398343

DOI:10.1145/3584376

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 19 April 2023

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RICAI 2022

RICAI 2022: 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

December 16 - 18, 2022

Dongguan, China

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Research of Chassis Torsional Stiffness on Vehicle Handling Performence

An enhanced particle swarm optimization with levy flight for global optimization

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