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

Wang, Shuang; Wang, Dengfeng

doi:10.1007/s40430-019-2019-x

Cited by 17 publications

(11 citation statements)

References 28 publications

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“…The multi-objective decision-making problem can be transformed into a single-objective decision-making problem by using GRG as an evaluation indicator. The GRG between each Pareto solution and the expected solution is calculated using equation (23). The larger the GRG of the Pareto solution, the closer the overall optimization quota values to the expected values are.…”

Section: ) Hw Weighting Methodsmentioning

confidence: 99%

“…The hourglass energy accounts for 1.75% of the total energy, which satisfies the requirement (i.e., less than 5.00%). 23 The total energy conservation preliminarily indicates that the simulation results of the vehicle frontal collision are accurate.…”

Section: Frontal Collision Safety Performance Of the Automobile Bodymentioning

confidence: 99%

“…The essence of Pareto optimal compromise solution mining is multi-objective decision-making problems. Several multi-objective decision-making methods, such as Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), 23,24 axiomatic design, 25 and preference selection index (PSI), 26 were developed in recent years. However, using these methods requires the decision makers to possess strong professional knowledge and mathematical calculation ability.…”

Section: Introductionmentioning

confidence: 99%

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Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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To collaboratively improve the lightweight and frontal collision safety performance of the automobile body, the material–structure–performance integrated multi-objective optimization design of the front-end structure was implemented in this study. The hybrid weight–grey relational analysis (HW–GRA) method was proposed to address the problem that the Pareto optimal compromise solution of multi-objective optimization cannot be easily selected. The design variables of the material and structural parameters were recorded through material type coding and model parameterization. To satisfy the basic static–dynamic performance constraints of the body, the RSM–Kriging surrogate model, design of experiments, and multi-objective particle swarm optimization algorithm were used to optimize the material and structural parameters to improve the lightweight and crashworthiness of the body. The Pareto optimal compromise solution was determined using the HW–GRA method. The decision result of the proposed method was more robust and rational than those of single weighting techniques combined with GRA and hybrid weighting approach combined with TOPSIS. After the multi-objective optimization and decision-making, the basic static–dynamic performance of the body demonstrated a change of less than 2.0%, which satisfied the constraint requirements. The mass of the body was reduced by 2.4 kg, and the frontal collision safety performance of the body was significantly improved.

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Section: ) Hw Weighting Methodsmentioning

confidence: 99%

Section: Frontal Collision Safety Performance Of the Automobile Bodymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

Wang

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Pirmohammad et al [20] studied the effect of length ratio of inner tube to outer tube on crashworthiness of polyurethane foam filled tapered tube, and obtained the best length ratio by the TOPSIS method. On the basis of the analysis of the influence of the damping coefficient and the spring stiffness on suspension performance, Wang et al [21] improved the lightweight and crashworthiness performance of B-pillar based on the modified particle swarm optimization algorithm and TOPSIS. Ebrahimi-Nejad et al [21] employed the TOPSIS method to carry out the multi-objective optimization of the suspension system and determined the optimal scheme.…”

Section: Introductionmentioning

confidence: 99%

“…On the basis of the analysis of the influence of the damping coefficient and the spring stiffness on suspension performance, Wang et al [21] improved the lightweight and crashworthiness performance of B-pillar based on the modified particle swarm optimization algorithm and TOPSIS. Ebrahimi-Nejad et al [21] employed the TOPSIS method to carry out the multi-objective optimization of the suspension system and determined the optimal scheme. In order to improve vehicle ride comfort, Ebrahimi-Nejad et al [22] adopted the TOPSIS method to seek the best value of the suspension stiffness and damping.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Multi-Objective Optimization Method Based on NSGA-II Algorithm and Entropy Weighted TOPSIS for Lightweight Design of Dump Truck Carriage

Jiang

Liu

et al. 2021

Machines

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The lightweight design of vehicle components is regarded as a complex optimization problem, which usually needs to achieve two or more optimization objectives. It can be firstly solved by a multi-objective optimization algorithm for generating Pareto solutions, before then seeking the optimal design. However, it is difficult to determine the optimal design for lack of engineering knowledge about ideal and nadir values. Therefore, this paper proposes a multi-objective optimization procedure combined with the NSGA-II algorithm with entropy weighted TOPSIS for the lightweight design of the dump truck carriage. The finite element model of the dump truck carriage was firstly developed for modal analysis under unconstrained free state and strength analysis under the full load and lifting conditions. On this basis, the multi-objective lightweight optimization of the dump truck carriage was carried out based on the Kriging surrogate model and the NSGA-II algorithm. Then, the entropy weight TOPSIS method was employed to select the optimal design of the dump truck from Pareto solutions. The results show that the optimized dump truck carriage achieves a remarkable mass reduction of 81 kg, as much as 3.7%, while its first-order natural frequency and strength performance are slightly improved compared with the original model. Accordingly, the proposed procedure provides an effective way for vehicle lightweight design.

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Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

Zhang,

Lu,

Huang

et al. 2023

Polymer Composites

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This paper designs and optimizes a new structure hybrid material B‐pillar assembly. Establish a finite element analysis model for the side impact test of an electric vehicle to verify the model's accuracy. Construct a finite element model of the hybrid material B‐pillar assembly. Combined with the static performance analysis of the B‐pillar, the laminate design of the carbon fiber composite B‐pillar reinforcement plate and optimization. For the outer and inner panels of the B‐pillar, the surrogate model method and the multiobjective optimization method are combined to set 11 design variables and 13 responses. The optimal Latin hypercube design method was used to randomly sample each design variable and fit the radial basis function (RBF) approximate model. The modified second‐generation non‐dominated sorting genetic algorithm (MNSGA‐II) was used to carry out multiobjective optimization of the mixed material B‐pillar assembly, and the multicriteria decision‐making method was used to obtain the optimal solution for the Pareto solution set. A drop weight impact test was performed on the hybrid material B‐pillar assembly. The results showed that the peak collision force of the hybrid material B‐pillar was reduced by 43.7% compared with the original steel B‐pillar, the specific energy absorption was increased by 17.5%, and the side impact safety performance was better. After optimization, the weight of the mixed material B‐column was reduced by 26.44%. The improvement rates of the intrusion amount at P2 and the intrusion speed at P1 were 23.99% and 0.63%, respectively, and the lightweight effect and side impact safety were significantly improved.Highlights The finite element analysis parameters of carbon fiber composite materials were constructed through experiments, and the basis for simulation analysis under various working conditions of the B‐pillar based on performance‐driven optimization was established. A hybrid material B‐pillar design method is proposed, which consists of a variable‐thickness high‐strength steel B‐pillar outer plate, a variable‐thickness high‐strength steel B‐pillar inner plate, and a carbon fiber composite B‐pillar reinforcement plate. The super layer of the carbon fiber composite B‐pillar reinforcement plate was optimized and the laying plan of the carbon fiber composite B‐pillar reinforcement plate was determined. Performance‐driven optimization is adopted to realize the collaboration of multilevel design and optimization methods such as B‐pillar conceptual design, detailed design, and multiobjective optimization. A modified NSGA‐II algorithm was proposed and combined with the multicriteria decision‐making method and the entropy‐weighted gray relation analysis method to determine the Pareto optimal solution and the optimal design scheme for the mixed material B‐pillar.

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

Cited by 17 publications

References 28 publications

Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

Collaborative optimization design of lightweight and crashworthiness of the front-end structures of automobile body using HW–GRA for Pareto mining

A Hybrid Multi-Objective Optimization Method Based on NSGA-II Algorithm and Entropy Weighted TOPSIS for Lightweight Design of Dump Truck Carriage

Research on the lightweight design and multilevel optimization method of B‐pillar of hybrid material based on side‐impact safety and multicriteria decision‐making

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