Multiobjective Optimization Design for Lightweight and Crash Safety of Body-in-White Based on Entropy Weighted Grey Relational Analysis and MNSGA-II

Zhang, Shuai; Song, Hao; Cai, Kefang; Xu, Liyou

doi:10.1109/access.2022.3185412

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…These data are described above to calculate the contact degree equation of 9 fault types in the process of the fault location. The process is as follows: As shown in Figure 6, the method calculates the overall rating value of the transformer based on its variable weight coefficient and comprehensive rating value [21]. By comparing with these failure type in the equipment condition maintenance, the overall rating value calculated by this method could determine the scope and severity of transformer faults, then we provide corresponding maintenance opinions.…”

Section: Fig 5 Prioritization Of Power Equipment Maintenancementioning

confidence: 99%

Research on transformer condition evaluation method based on association rule set pair analysis theory

Wang,

Cai,

Chen

et al. 2023

Diagnostyka

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Combining the advantages of set pair analysis and association rules, This paper proposes a transformer condition evaluation based on association rule with set pair analysis theory. In this paper, by analyzing the correlation between the various fault symptoms of transformer, a set of fault types is obtained. At the same time, this paper introduces variable weight formula based on the support degree and confidence degree of association rules, and finally the weight coefficients of fault types and fault symptoms are obtained. By comparing and calculating the support and confidence of association rules, while introducing variable weight formulas, the weight coefficients of fault types and fault symptoms are obtained. it effectively avoid the subjectivity of expert opinions or experiences. Based on the scalability of set pair analysis, a 5-element connection degree is adopted to improve the accuracy of handling uncertain factors in transformer fault diagnosis.

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Section: Fig 5 Prioritization Of Power Equipment Maintenancementioning

confidence: 99%

Research on transformer condition evaluation method based on association rule set pair analysis theory

Wang,

Cai,

Chen

et al. 2023

Diagnostyka

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“…Wang and Wang 34 used the principle component analysis (PCA) and the GRA method to rank the Pareto solutions for the multi-objective lightweight optimization design of B-pillar outer panel to obtain the optimization scheme. Zhang et al 35 proposed a hybrid method combining entropy-weighted grey relation analysis (EGRA) and MNSGA-II for lightweight multi-objective optimization of body-in-white for frontal and side crashes.…”

Section: Introductionmentioning

confidence: 99%

Fatigue life optimization and lightweight design of wheel based on entropy weight grey relation analysis and modified NSGA-II

Zhang,

Lu,

et al. 2023

Advances in Mechanical Engineering

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In order to study the fatigue performance of wheel and enhance its lightweight design level, this article proposes the structure, design and optimization method of magnesium-aluminum alloy assembled wheel. Taking a [Formula: see text] type wheel as the research object, the optimal topology of wheel spoke is solved by constructing a topology optimization model for wheel bending and radial fatigue test conditions. A finite element model for bending and radial fatigue testing of assembled wheels was established, which simulates and analyzes the fatigue performance and its influencing factors of the wheel under two working conditions. Combined with contribution analysis method, the modified NSGA-II and entropy weight grey relation analysis (EGRA), the multi-objective optimization of assembled wheel was performed. The result demonstrated that the weight reduction of the assembled wheel after optimized design is 4.49%, while the bending fatigue life and radial fatigue safety factor are decreased by 9.95% and 25%, respectively. In order to better balance the performance of assembled wheel and achieve lightweight design, this article combines the joint topology optimization of assembled wheels with multi-objective optimization method for multiple working conditions and screens the optimal compromise solution by EGRA, which provides an approach for wheel lightweight design and multi-objective optimization.

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“…This approach combined experimental design with crash finite element analysis, efficiently achieving the design objectives. To enhance the light weight, crash safety, and optimization efficiency of the body-in-white, Zhang, S et al [12] employed entropy-weighted gray correlation analysis along with an improved nondominated sorting genetic algorithm for multiobjective optimization. The results notably improved vehicle lightweighting and crash safety performance.…”

Section: Introductionmentioning

confidence: 99%

Optimization Study of Driver Crash Injuries Considering the Body NVH Performance

Li,

Zhang,

Zhang

et al. 2023

Applied Sciences

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Optimal body structure design is a central focus in the field of passive automotive safety. A well-designed body structure enhances the lower threshold for crash safety, serving as a basis for the deployment of other safety systems. Frontal crashes, particularly those with an overlap rate below 25%, are the most frequent types of vehicular accidents and pose elevated risks to occupants due to variable energy absorption and force transmission mechanisms. This study aims to identify an optimized, cost-effective, and lightweight solution that minimizes occupant injuries. Using a micro-vehicle as a case study and accounting for noise, vibration, and harshness (NVH) performance, this paper employs Elman neural networks to predict key variables such as the first-order modes of the body, the body’s mass, and the head injury values for the driver. Guided by these predictions and constrained by the first-order modes and body mass, a genetic algorithm was applied to explore optimal solutions within the solution space defined by the body panel thickness. The optimized design yielded a reduction of approximately 173.43 in the driver’s head injury value while also enhancing the noise, vibration, and harshness performance of the vehicle body. This approach offers a methodological framework for future research into the multidisciplinary optimization of automotive body structures.

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Multiobjective Optimization Design for Lightweight and Crash Safety of Body-in-White Based on Entropy Weighted Grey Relational Analysis and MNSGA-II

Cited by 6 publications

References 38 publications

Research on transformer condition evaluation method based on association rule set pair analysis theory

Research on transformer condition evaluation method based on association rule set pair analysis theory

Fatigue life optimization and lightweight design of wheel based on entropy weight grey relation analysis and modified NSGA-II

Optimization Study of Driver Crash Injuries Considering the Body NVH Performance

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