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Electrical Discharge Machining of Inconel 718 using Cryo-Processed Rotary Cu-Electrode
Journal of Scientific & Industrial Research ( IF 0.7 ) Pub Date : 2020-09-23
Rakesh Kumar, Anand Pandey, Pooja Sharma

This paper focuses on the impact of machining factors on surface quality in electric discharge machining (EDM) of Inconel 718. Drilling has been performed by a cryogenic treated copper tool. Experiments were accompanied by dissimilar machining factors viz. tool diameter, discharge current, pulse on time pulse off time, tool rotation and hole depth. The thickness of work piece material remains constant. Surface roughness is measured by optical surface profiler. Taguchi based L18 orthogonal array of experimental design was employed to accomplish machining. Analysis of variance (ANOVA) has been employed to find out optimum factors for minimum surface roughness (SR). It was found that pulse off time, pulse on time and tool rotation are greatest affecting factors that affects SR for cryo-treated Cu tool electrode. Tool diameter is least affecting factor that affects SR. A linear regression model has been developed to find out optimum combination for SR of Inconel 718 work piece.

中文翻译:

低温处理旋转式铜电极对Inconel 718进行放电加工

本文着重研究Inconel 718的放电加工(EDM)中加工因素对表面质量的影响。已使用经过低温处理的铜工具进行了钻孔。实验伴随着不同的加工因素,即。刀具直径,放电电流,脉冲接通时间,脉冲断开时间,刀具旋转和孔深。工件材料的厚度保持恒定。表面粗糙度通过光学表面轮廓仪测量。基于田口的L 18采用正交设计的实验设计完成加工。方差分析(ANOVA)已被用来找出最小表面粗糙度(SR)的最佳因素。已发现,脉冲关闭时间,脉冲打开时间和工具旋转是影响冷冻处理Cu工具电极的SR的最大影响因素。刀具直径是影响SR的最小影响因素。已经开发出线性回归模型以找出Inconel 718工件SR的最佳组合。
更新日期:2020-09-23
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