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首页> 外文期刊>Materials and Manufacturing Processes >Optimization of Cut Quality Characteristics during Nd:YAG Laser Straight Cutting of Ni-Based Superalloy Thin Sheet Using Grey Relational Analysis with Entropy Measurement
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Optimization of Cut Quality Characteristics during Nd:YAG Laser Straight Cutting of Ni-Based Superalloy Thin Sheet Using Grey Relational Analysis with Entropy Measurement

机译：基于灰色关联分析和熵测的Nd：YAG镍基高温合金薄板激光直切工艺中切削质量特性的优化

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摘要

This article presents application of a hybrid approach for the optimization of Nd:YAG laser straight cutting of Ni-based superalloy thin sheet with multiple performance characteristics. The approach first finds the experimental results using Taguchi-based experimental design. The designed experimental results are used in the grey relational analysis (GRA) for optimization of multiperformance characteristics simultaneously. The quality characteristics considered are average kerf taper (T_a) and average surface roughness (R_a) measured through Optical Measuring Microscope and Surface Roughness Tester, respectively. The essential process input parameters were identified as oxygen pressure, pulse width, pulse frequency, and cutting speed. The entropy measurement method is specially employed to evaluate the values of weights corresponding to each performance characteristics so that their relative significance can be properly described. The results of confirmation experiments verify that the proposed grey-based Taguchi method has the ability to find out the optimal laser cutting parameters with multiple quality characteristics. The application of grey relational analysis has reduced T_a and R_a by 56% and 18%, respectively.
机译：本文介绍了一种混合方法在优化具有多种性能特征的Ni基高温合金Nd：YAG激光直切中的应用。该方法首先使用基于Taguchi的实验设计找到实验结果。设计的实验结果用于灰色关联分析（GRA）中，以同时优化多功能性能。所考虑的质量特性分别是通过光学测量显微镜和表面粗糙度测试仪测量的平均切缝锥度（T_a）和平均表面粗糙度（R_a）。确定基本工艺输入参数为氧气压力，脉冲宽度，脉冲频率和切割速度。熵测量方法专门用于评估与每个性能特征相对应的权重值，以便可以正确描述其相对重要性。确认实验的结果验证了所提出的基于灰色的Taguchi方法具有找出具有多个质量特征的最佳激光切割参数的能力。灰色关联分析的应用分别将T_a和R_a降低了56％和18％。

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