Fuzzy analysis of surface roughness in electrical discharge machining

D. Rodić, Marin Gostimirović, Nikola M. Laković, Branislav Batinić, Nenad R. Kulundžić
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Abstract

the work proposes an artificial intelligence tool, respectively fuzzy logic technique for analyzing surface roughness of electrical discharge machining. The analysis of surface roughness based on the fuzzy logic method, which is an approach for analysis of the electrical discharge machining was researched using the Taguchi L9 experimental plan. The aim of this paper is to examine the influence of the individual important input processing parameters, like peak current and pulse on-time on output machining performance. The results have shown that the fuzzy logic approach can be used for the surface roughness analysis in electrical discharge machining.
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电火花加工表面粗糙度的模糊分析
提出了一种用于电火花加工表面粗糙度分析的人工智能工具,分别采用模糊逻辑技术。采用田口L9实验方案,研究了基于模糊逻辑的表面粗糙度分析方法,该方法是电火花加工的一种分析方法。本文的目的是研究各个重要的输入加工参数,如峰值电流和脉冲导通时间对输出加工性能的影响。结果表明,模糊逻辑方法可用于电火花加工的表面粗糙度分析。
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