Laser Beam cutting is a type of non-conventional machining process in which the removal of materials takes place due to the melting and vaporization of material when the laser beam comes in contact with it. This work examines the impact of the cut quality characteristics of the SS347 material and to find reduced surface roughness, machining time and heat affected zone by laser beam cutting. The cutting process was assisted by CO₂ gas pressure. Power, standoff distance, speed and CO₂ gas pressure are the cutting parameters considered for this study and the output parameters measured are machining time, heat affected zone and surface roughness. In accordance with L-9 orthogonal arrays, the experiments were planned. Analysis of Variance has been used to study how input functions influence output functions which revealed that speed (59.75% and 89.75%) is the significant factor for machining time and surface roughness while power (91.27%) was the dominant factor for heat affected zone. Gas pressure did not have much influence in the output parameters. The mathematical expressions of the output are used as input for the multi-objective function of the genetic algorithm. Optimal solutions are compared to hybrid and without-hybrid functions. It is found that the hybrid function shows a higher performance compared to the without hybrid function.

中文翻译：

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CO2辅助激光束切割对SS347材料切割质量的实验分析及遗传算法参数优化

激光束切割是一种非常规加工工艺，当激光束与材料接触时，由于材料的熔化和汽化而发生材料的去除。这项工作检查了 SS347 材料的切割质量特性的影响，并通过激光束切割找到降低的表面粗糙度、加工时间和热影响区。切割过程由CO ₂气体压力辅助。功率、对峙距离、速度和 CO ₂气体压力是本研究考虑的切削参数，测量的输出参数是加工时间、热影响区和表面粗糙度。按照L-9正交阵列，计划实验。方差分析已用于研究输入函数如何影响输出函数，结果表明速度（59.75% 和 89.75%）是加工时间和表面粗糙度的重要因素，而功率（91.27%）是热影响区的主要因素。气体压力对输出参数没有太大影响。输出的数学表达式用作遗传算法多目标函数的输入。最佳解决方案与混合和非混合功能进行了比较。