环形激光束加工12Х18Н9Т-Steel的优化

G. A. Bayevich, Y. Nikitjuk, V. Myshkovets, A. V. Maximenko, I. Aushev
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引用次数: 0

摘要

利用ANSYS Workbench程序DesignXplorer模块内置的MOGA遗传算法,对环形光束激光加工12Х18Н9Т-steel进行了优化。在ANSYS Workbench程序中,考虑材料热物性对温度的依赖关系,采用有限元法进行了温度场计算。利用实验中心组成计划的面心变体,得到了环形激光束加工12Х18Н9Т-steel的回归模型。以激光辐射脉冲的功率密度和持续时间、激光束在加工平面内的外径和内径为可变因素。采用材料的穿透深度和激光加工区域的最高温度作为响应。研究了加工参数对激光冲击区材料穿透深度和最高温度值的影响。结果表明,激光辐射的功率密度对材料的穿透深度和最高温度的影响最大。通过设定三种最小穿透深度的加工区域最高温度限制值,对环形光束激光加工12Х18Н9Т-steel进行了优化。将MOGA算法优化得到的参数与有限元建模得到的参数进行了比较。测定最高温度和最大穿透深度的最大相对误差均不超过1%和6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of 12Х18Н9Т-Steel Processing by Ring Laser Beams
Using the MOGA genetic algorithm built into the DesignXplorer module of the ANSYS Workbench program, optimization of laser processing of 12Х18Н9Т-steel  by annular beams has been performed. The calculation of temperature fields has been carried out taking into account the dependence of the thermophysical properties of the material on temperature by the finite element method in the ANSYS Workbench program. A regression model has been obtained for processing 12Х18Н9Т-steel  by annular laser beams using a face-centered variant of the central compositional plan of the experiment. The power density and duration of laser radiation pulses, the outer and inner diameters of the laser beam in the processing plane were used as variable factors. The penetration depths of the material and the maximum temperatures in the laser processing zone were used as responses. The influence of processing parameters on the penetration depths of the material in the laser impact zone and the maximum temperature values has been evaluated. It has been established that the depth of penetration of the material and the maximum temperatures are most affected by the power density of laser radiation. Optimization of laser processing of 12Х18Н9Т-steel  by annular beams was carried out by setting the limiting values of the maximum tempe-rature in the processing zone for three variants of the minimum penetration depth. The parameters obtained as a result of optimization using the MOGA algorithm and the parameters obtained as a result of finite element modeling are compared. The maximum relative error of the results when determining the maximum temperatures did not exceed 1 % and when determining the maximum penetration depths did not exceed 6 %.
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