Sensitivity Analysis Based on E-TOPSIS Combined with MORIME-Based Multi-Objective Optimization for Sprayer Frame Design Optimization

This study establishes a sensitivity evaluation system based on the E-TOPSIS method and combines it with the MORIME algorithm for the optimization design of the frame. First, a three-dimensional model and a finite element analysis model of the frame were developed. The loading conditions of the frame were then analyzed, followed by static and modal analyses. Modal data of the frame were also extracted. The experimental results prove the reliability of the established finite element model and the subsequent optimization results. A sensitivity evaluation system based on the E-TOPSIS method was established in this study. Using this system, the sensitivity of the frame components with respect to three different performance parameters was analyzed, enabling the scientific and rapid selection of 17 design variables and significantly reducing the optimization workload. The experimental design was then conducted using Latin hypercube sampling and CCD sampling methods. Finally, the multi-objective lightweight design of the selected components was performed based on the MORIME algorithm. After optimization, the stress increased by 12.01% and 1.52% under two operating conditions, while deformation increased by 0.647 mm and 0.607 mm, and the frame mass was reduced by 22.754 kg, a decrease of 12.8%. The experimental results demonstrate the effectiveness of the proposed method.

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Publication Details

Journal
Machines
Published
2025-02-28
DOI
https://doi.org/10.3390/machines13030201
Citations
1
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.50
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article

Sensitivity Analysis Based on E-TOPSIS Combined with MORIME-Based Multi-Objective Optimization for Sprayer Frame Design Optimization

Lihua Zhang, ShengWen Zhou, Qi Chen
1 citations
Machines
Advanced Multi-Objective Optimization Algorithms
1.50
article

Sensitivity Analysis Based on E-TOPSIS Combined with MORIME-Based Multi-Objective Optimization for Sprayer Frame Design Optimization

Lihua Zhang, ShengWen Zhou, Qi Chen
article en
1 citations

Abstract

This study establishes a sensitivity evaluation system based on the E-TOPSIS method and combines it with the MORIME algorithm for the optimization design of the frame. First, a three-dimensional model and a finite element analysis model of the frame were developed. The loading conditions of the frame were then analyzed, followed by static and modal analyses. Modal data of the frame were also extracted. The experimental results prove the reliability of the established finite element model and the subsequent optimization results. A sensitivity evaluation system based on the E-TOPSIS method was established in this study. Using this system, the sensitivity of the frame components with respect to three different performance parameters was analyzed, enabling the scientific and rapid selection of 17 design variables and significantly reducing the optimization workload. The experimental design was then conducted using Latin hypercube sampling and CCD sampling methods. Finally, the multi-objective lightweight design of the selected components was performed based on the MORIME algorithm. After optimization, the stress increased by 12.01% and 1.52% under two operating conditions, while deformation increased by 0.647 mm and 0.607 mm, and the frame mass was reduced by 22.754 kg, a decrease of 12.8%. The experimental results demonstrate the effectiveness of the proposed method.

MachinesVol. 13(3)
Sichuan Agricultural University (CN)
Openalex Percentile: Top 19%
Advanced Multi-Objective Optimization Algorithms
1.50
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