Research on optimization of steel plate linear heating line planning based on multi-objective PCA-PSO particle swarm optimization

Abstract

Zhiliang Zhang, Ryojun Ikeura, Soichiro Hayakawa and Zheng Wang

The planning of linear heating lines for 3D curved surface forming of hull outer plates has always been a research focus and difficulty in the shipbuilding industry. Since the steel plate forming process is affected by many factors, the planning of steel plate heating lines has always had problems such as low accuracy and high planning difficulty. In order to solve the problem of linear heating line planning, this study used ANSYS finite element analysis simulation data, and used the particle swarm global optimization algorithm based on multi-objective principal component analysis to plan the linear heating lines of steel plates, and gave the heating line prediction results. Provide support for workers in steel plate heating work. This method not only improves work efficiency but also saves energy, and has certain engineering application value.

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