Research on Lightweighting of Header Frame Based on Multi-objective Genetic Algorithm of MOGA

In order to accelerate development requirements of high-end agricultural machinery and equipment in China and achieve development goal of “green and low-carbon”, this project is based on header Frame of a combine harvester. Based on finite element analysis, the main components of header Frame are optimized using multi-objective genetic algorithm (MOGA) with optimization objectives of minimizing mass and increasing first-order modal frequency. Finally, optimization solution is obtained.

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Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875302
Primary Topic
Industrial Technology and Control Systems
Type
article
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Research on Lightweighting of Header Frame Based on Multi-objective Genetic Algorithm of MOGA

Jianwen Cai, Xiaojuan Lin, Linjun Tong, Zhijun Long
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Industrial Technology and Control Systems
article

Research on Lightweighting of Header Frame Based on Multi-objective Genetic Algorithm of MOGA

Jianwen Cai, Xiaojuan Lin, Linjun Tong, Zhijun Long
article en

Abstract

In order to accelerate development requirements of high-end agricultural machinery and equipment in China and achieve development goal of “green and low-carbon”, this project is based on header Frame of a combine harvester. Based on finite element analysis, the main components of header Frame are optimized using multi-objective genetic algorithm (MOGA) with optimization objectives of minimizing mass and increasing first-order modal frequency. Finally, optimization solution is obtained.

Shunde Polytechnic (CN)
Openalex Percentile: Top 66%
Industrial Technology and Control Systems
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