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基于信噪比和灰色关联分析的电火花喷爆加工工艺参数优化OA北大核心CSTPCD

Optimization of ejecting-explosion EDM parameters on SiCp/Al using signal-to-noise ratio and grey relational analysis

中文摘要英文摘要

随着SiCp/Al复合材料应用领域日益广泛,对其加工效率和表面质量提出了更高的要求.针对上述问题,设计L25(56)的正交试验,使用一种新型高效的电火花加工方式——电火花喷爆加工,对20%的SiCp/Al复合材料进行工艺试验.主要优化指标为材料蚀除率(MRR)、电极损耗率(TWR)和表面粗糙度(Ra),工艺参数为高压波电流、高压波电压、低压波电流、低压波电压、脉宽和相位差.根据正交试验结果,采用信噪比分析法,研究得到各工艺参数对不同优化指标的影响以及单目标最优加工参数组合.基于灰色关联度分析法,以层次分析法确定各优化指标权重,分析得到综合考虑3个优化指标的多目标最优加工参数组合,并进行试验验证.结果表明,多目标优化的最优工艺参数组合为高压波电流6 A、高压波电压120 V、低压波电流2 A、低压波电压100 V、脉宽10μs、相位差50%,使用该加工参数组合进行加工可以有效地提高加工效率、改善表面质量.

With the increasing application of SiCp/Al,higher requirements are put forward for their processing efficiency and sur-face quality.In response to the above questions,based on the orthogonal test of L25(56),20%of SiCp/Al composites are pro-cessed using a new and efficient EDM processing method—ejecting-explosion EDM.The main optimization indicators are MRR,TWR and Ra,and the process parameters are high-voltage wave current,high-voltage wave voltage,low-voltage wave current,low-voltage wave voltage,pulse width and phase difference.Based on the orthogonal test results,the influence of each process parameter on different optimization indicators and the combination of single-objective optimal processing parameters are studied by using the Signal to Noise Ratio(SNR).Based on the Grey Relational Analysis(GRA),the weights of each optimization index are determined according to the Analytic Hierarchy Process(AHP),and the multi-objective optimal processing parameter combi-nation of the three optimization indicators is comprehensively considered and verified by experiment.The results show that the op-timal process parameter combination for multi-objective optimization is high-voltage wave current 6 A,high-voltage wave voltage 120 V,low-voltage wave current 2 A,low-voltage wave voltage 100 V,pulse width 10 μs,and phase difference 50%,and pro-cessing by using this processing parameter combination can effectively improve the processing efficiency and surface quality.

刘宇;韩钧;曲嘉伟;张诗奇;陈海静

大连交通大学机械工程学院,大连 116028

计算机与自动化

SiCp/Al工艺参数优化灰色关联度分析法信噪比电火花喷爆加工

SiCp/Alprocess parameters optimizationgrey relational analysissignal-to-noise ratioejecting explosion EDM

《现代制造工程》 2024 (007)

9-16 / 8

国家自然科学基金项目(51875074)

10.16731/j.cnki.1671-3133.2024.07.002

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