Design and Performance Analysis of a New Lightweight Rotor Adaptive Electromagnetic Shock Absorber for Armored Vehicles

Zhao, Tong; Li, Desheng; Ye, Lezhi; Guo, Benzhen; Li, Zequn; Li, Zhenning

doi:10.1007/s12239-023-0054-1

Cited by 1 publication

(1 citation statement)

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“…By reducing the overall weight of the vehicle, lightweight design not only significantly improves fuel efficiency and reduces exhaust emissions, but also contributes to the sustainable development of the automobile industry, and also plays an active role in improving the acceleration performance, braking performance and handling performance of the vehicle, providing drivers with a better driving experience [14,15]. However, at present, the lightweight design of vehicles mainly focuses on the optimization of materials and the development of new materials, ignoring the potential impact of vehicle process characteristics on lightweight design [16]. Therefore, in order to comprehensively optimize the vehicle structure, it is necessary to introduce advanced calculation methods and comprehensively consider the vehicle technological characteristics [17].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Vehicle Lightweight Design Process with Genetic Algorithm-Optimized BP Neural Network and Topology Optimization: A Comprehensive Study

Liao,

Zhong,

2024

Preprint

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Amid the swift progression of the global automobile industry, the aspiration for lightweight vehicle design has surfaced as a crucial approach to boost fuel efficiency and curtail environmental impact. The objective of this study revolves around achieving holistic optimization of vehicle structure via detailed scrutiny of vehicle process characteristics, amalgamated with a Back Propagation neural network (BPNN) optimized by a genetic algorithm (GA) and a topology optimization (TO) method.The process initiates with an examination of the vehicle's technical characteristics, succeeded by an optimization protocol that couples GA with BPNN. This exhaustive optimization procedure derives the best-fit values of design parameters and identifies the globally optimal lightweight design approach. Subsequently, a comprehensive structural optimization is actualized by modifying the topological distribution of the structure.A simulation experiment of the conceptual car body beam skeleton is conducted as a conclusive step, and the anti-collision capacity of the car body beam skeleton is assessed by measuring deformation intrusion. The findings reveal that in the vehicle topology optimization, a comparative analysis of pre and post-optimization results indicates an improved topological density across diverse sections. The topological density of the vehicle's frontal structure escalates from 0.75 to 0.8. Following optimization, the stiffness assessment records a marginal increase (within the range of 0.02–0.05), implying that the lightweight design does not compromise the general rigidity of the structure.The optimized body structure manifests superior crashworthiness in the crash test: the deformation intrusion diminishes by 27% in front-end collisions. In side impacts, the deformation and intrusion at critical points are reduced by 13.15% to 10% respectively. The comprehensive method proposed herein proves to be an efficient strategy to actualize the lightweight design of vehicles.

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