Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis

Xiong, Feng; Wang, Dengfeng; Zhang, Shuai; Cai, Kefang; Wang, Shuang; Lü, Fang

doi:10.1007/s00158-017-1749-6

Cited by 69 publications

(24 citation statements)

References 46 publications

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“…Pu et al [28] put forward a comprehensive hierarchical structure with systematic multiperspective indices and applied a hybrid approach with integration of grey relational analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS) for the determination of optimal lightweight material for vehicles. Xiong et al [29] presented an approach combining grey relational and principal component analysis for lightweight optimization of the side structure of the automobile body. Mayyas et al [30] used multiattribute decision-making tools, quality function deployment (QFD) and analytic hierarchy process (AHP), which select optimal material for automotive bodyin-white (BIW) panels.…”

Section: Literature Reviewmentioning

confidence: 99%

Material Selection of Green Design Processes for Car Body via considering Environment Property

Han

et al. 2020

Mathematical Problems in Engineering

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Facing serious environmental degradation and its resulting of climate warming, how to conserve energy and reduce emissions becomes a serious issue for government supervisors and modern vehicle enterprises. Reducing the mass of a vehicle is one of the most effective ways to reduce emissions and improve fuel utilization, essential to persist the low-carbon and sustainable-development bases in industrial production processes. When it comes to the selection of lightweight material for a car body in the processes of vehicle production, it is essential to comprehensively evaluate multiple relevant attributes in order to select the optimal material from several alternatives. us, it can be seen as a multicriterion decision-making (MCDM) problem. However, it is difficult to consider both the uncertainty of the expert's preference and the imprecision of the attribute estimate. Considering this, this paper uses the method integrating grey relational analysis (GRA) with analytic hierarchy process (AHP) to solve the problem of lightweight material selection for a car body. e AHP method is used to determine the weight of each attribute, and the GRA method is to select the optimal material among several alternatives. Finally, a case study is applied to verify the practicability of the proposed approach. e result shows that the proposed multicriterion decision method provides a precise and objective foundation for making decisions about the material selection issue.

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Section: Literature Reviewmentioning

confidence: 99%

Material Selection of Green Design Processes for Car Body via considering Environment Property

Han

et al. 2020

Mathematical Problems in Engineering

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“…Weight determination and ranking method are the key issues in MCDM. The commonly used weighting methods are principal component analysis 33 and entropy 34 . The ranking methods are mainly including analytic hierarchy process, 35 technique for order preference by similarity to ideal solution 36 and grey relational analysis (GRA) 37 .…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of tapered carbon‐fiber‐reinforced polymer rim for carbon/aluminum assembled wheel

Wang

et al. 2020

Polymer Composites

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A multi‐objective integrated optimization framework that considers the manufacturing process in the design of a tapered carbon‐fiber‐reinforced polymer (CFRP) rim structure was established. Firstly, the three‐zone symmetrically stacked CFRP rim structure was proposed and modeled. The bending and radial fatigue and 13° impact of the carbon/aluminum‐assembled wheel composed of CFRP rim and aluminum alloy spoke were analysed. Coupling lay‐up thickness, sequence and angle as design variables, multi‐objective integrated optimization design for the tapered CFRP rim structure was performed through radial basis function neural network surrogate model combined with an elitist non‐dominated sorting genetic algorithm approach. Pareto‐optimal solutions were obtained, and the trade‐off solution was selected through grey relational analysis coupled with entropy weighting method. Finally, the tapered CFRP rim was manufactured through molding and autoclave forming technology. The CFRP rim has a weight saving of 17.2% compared with the previously developed forged magnesium alloy rim of the same size. The bending and radial fatigue and 13° impact performance of the assembled wheel were then validated by corresponding physical test, results of which met GB 36581‐2018 standard.

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“…Therefore, in this study, MPSO is employed to solve the structure-material integrated multi-objective lightweight optimization problem. Once the optimal solution set was determined, it is essential to select the best solution from which to perform to determine design parameters, the TOPSIS method has been studied to great length in recent years and determined best compromise solution [20][21][22][23], as can be seen from the presented literature review, researchers on various fields based on TOPSIS method, but the principal component analysis method (PCA) with TOPSIS approach applies in optimization design of B-pillar were not available in the literature before.…”

Section: Introductionmentioning

confidence: 99%

Research on crashworthiness and lightweight of B-pillar based on MPSO with TOPSIS method

Wang

2019

J Braz. Soc. Mech. Sci. Eng.

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To better improve the lightweight and crashworthiness performance of B-pillar, this paper presents a hybrid approach combining the modified particle swarm optimization algorithm (MPSO) and the technique for order preference by similarity to ideal solution (TOPSIS) approach with principal component analysis method (PCA) has been applied to multi-objective lightweight optimization design of the outer panel of the B-pillar structure of automotive. First, the numerical model was conducted to investigate the crashworthiness indicators of H-point under the side collision situation, which agree well with experimental results. Second, a steel-aluminum B-pillar was constructed and through integrating experimental design method with a surrogate model based on the numerical model to construct the approximate model, MPSO algorithm was adopted for multi-objective optimization design of B-pillar and the Pareto solutions set was determined. Finally, TOPSIS with PCA method can obtain the best compromise solution. It is observed that the weight of the B-pillar is reduced by 20.7% under the precondition of the peak of impacting velocity and the peak intrusion deformation has improved by 23.5% and 41.7%, respectively. Moreover, a comparison of the optimal design and original model, it reveals that the proposed hybrid method has a superior performance used for multi-objective lightweight optimization design of B-pillar structure. Keywords B-pillar • Steel-aluminum • Modified particle swarm optimization algorithm (MPSO) • Technique for order preference by similarity to ideal solution (TOPSIS) • Principal component analysis (PCA)

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Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis

Cited by 69 publications

References 46 publications

Material Selection of Green Design Processes for Car Body via considering Environment Property

Material Selection of Green Design Processes for Car Body via considering Environment Property

Design and optimization of tapered carbon‐fiber‐reinforced polymer rim for carbon/aluminum assembled wheel

Research on crashworthiness and lightweight of B-pillar based on MPSO with TOPSIS method

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