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The effect of electrical discharge machining parameters on alloy DIN 1.2080 using the Taguchi method and determinant of optimal design of experiments

机译:使用Taguchi方法的电火花加工参数对DIN 1.2080合金的影响以及实验优化设计的决定因素

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Electrical Discharge Machining (EDM) process is one of the most widely used methods for machining. This method is used to form parts that conduct electricity. This method of machining has used for hard materials and therefore select the correct values of parameters are so effective on the quality machining of parts. D3 steel has a high abrasion resistance at low temperatures therefore can be a good candidate for this method of machining. Also because of high hardness and low distortion during heat treatment, using this method is economical for this alloy. The purpose of this paper is to investigate the influence of the main parameters such as voltage, current, pulse duration and pulse off time and the interaction of them to determine the optimal condition for the D3 steel alloy (alloy with DIN 1.2080). Chip removal rate (MRR) and surface quality of parts were evaluated as the output characteristic of the study. The optimum conditions were achieved when the MRR is in the highest value and surface roughness is in the lowest one. For investigation of interaction, two kinds of DOE methods (Taguchi and determinant of optimal experimental design) are used. Then the optimal parameters are investigated with the help of the analysis signal to noise (S/N) and mathematical modeling. The optimize results were tested again and compared. Also the results showed that regression modeling has better accuracy than the S/N analysis. This is because of a greater number of experiments that done in this part and taking into account the interaction parameters in the regression model.
机译:放电加工(EDM)工艺是最广泛使用的加工方法之一。此方法用于形成导电部件。这种加工方法已用于硬质材料,因此选择正确的参数值对零件的高质量加工非常有效。 D3钢在低温下具有很高的耐磨性,因此可以很好地用于这种机加工方法。同样由于热处理过程中的高硬度和低变形,使用这种方法对于这种合金是经济的。本文的目的是研究电压,电流,脉冲持续时间和脉冲关闭时间等主要参数的影响,以及它们之间的相互作用,以确定D3钢合金(DIN 1.2080合金)的最佳条件。将切屑去除率(MRR)和零件的表面质量评估为研究的输出特征。当MRR最高且表面粗糙度最低时,可以达到最佳条件。为了研究相互作用,使用了两种DOE方法(田口和最佳实验设计的决定因素)。然后,借助分析信噪比(S / N)和数学建模来研究最佳参数。再次测试优化结果并进行比较。结果还表明,回归建模比S / N分析具有更好的准确性。这是因为在本部分中进行了大量实验,并考虑了回归模型中的交互参数。

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