Transactions of Materials and Heat Treatment

Title：Optimization of double-chromosome genetic algorithm for laser cutting technology path

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ClassificationCode：TH164；TG458

year,vol(issue):pagenumber：2021,46(10):119-124

Abstract：

In order to reduce non-working path of laser cutting plates and temperature-rise of plate caused by laser processing, a cutting path planning method based on double-chromosome genetic algorithm was proposed, and the selection method of contour feature points was given. Then, the problem of path planning between contours was described mathematically, and the multi-objective function of cutting path planning was established. Furthermore, for the joint solving problems of determination for cutting starting point and cutting path planning, a double-chromosome coding method was designed, and a double-chromosome genetic algorithm was put forward. In view of the particularity for laser cutting path planning, crossover operation and mutation operation were designed adaptively, and the planning process of laser cutting path based on double-chromosome genetic algorithm was given. The verification of path planning on a layout plate of 10 m×5 m shows that the non-working path planned by vender software CAM is 54.78 m, and non-working path planned by double-chromosome genetic algorithm is 39.65 m, which is 27.62% less than the result of the vender software CAM planning. In addition, the maximum temperature of the plate cut by vender software CAM planning path is 252.67 ℃, and the maximum temperature in processing by double-chromosome genetic algorithm planning path is 152.23 ℃, which is 39.75% lower than the former. Thus, the data above indicates the superiority of double-chromosome genetic algorithm in laser cutting path planning.

Funds：

吉林省高教科研课题（JGJX2020D548）

作者简介：宋磊（1977-），男，硕士，讲师 E-mail：songlei197701@163.com

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