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首页> 外文期刊>Defence science journal >Investigation of kerf Characteristics in Abrasive Water Jet Machining of Inconel 600 using Response Surface Methodology
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Investigation of kerf Characteristics in Abrasive Water Jet Machining of Inconel 600 using Response Surface Methodology

机译:使用响应面法测定Inconel 600磨料喷水加工的Kerf特性

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摘要

Abrasive water jet machining (AWJM) has found its application in the manufacturing industries for machining hard materials with precision. A degree of high precision in machining of complex geometries makes AWJM valuable. The selection of optimum process parameters is important to the resulting quality of machined parts. In this study, an experimental investigation was conducted to evaluate the machinability of Inconel 600. A response surface methodology (RSM) is used to determine the influence of the AWJM process parameters on the considered performance characteristics, i.e., kerf top width (KTW) and taper angle. The analysis of variance is performed to obtain the contribution and influence of each process parameter on the considered responses. The value of R-Squared obtained for KTW and taper angle using regression model is 0.97 and 0.96 respectively. The optimum setting of the parameters for single and multiple response characteristics are obtained using the desirability analysis of RSM. The results obtained using desirability analysis of RSM is validated by conducting the confirmation experiments. The experimental confirmatory values obtained for the considered performance parameters KTW and taper angle as 27.138 and 0.125 respectively. The corresponding value of error obtained as 0.383 and 0.013 respectively. Further, an optimum set is obtained with KTW as 27.461 mm and taper angle as 0.582° for multiple response optimisation.
机译:磨料水喷射加工(AWJM)已在制造业中的应用,以精确地加工硬质材料。复杂几何形状加工的高精度使得AWJM有价值。最佳过程参数的选择对于所得加工部件的质量很重要。在本研究中,进行了实验研究以评估Inconel 600的可加工性。响应面方法(RSM)用于确定AWJM工艺参数对所考虑的性能特征的影响,即Kerf顶部宽度(KTW)和锥角。执行对方差的分析,以获得每个过程参数对所考虑的反应的贡献和影响。使用回归模型获得的KTW和锥角获得的R线的值分别为0.97和0.96。使用RSM的期望分析获得单个和多响应特性的参数的最佳设置。通过进行确认实验验证使用RSM的期望分析获得的结果。所考虑的性能参数KTW和锥角分别为27.138和0.125获得的实验证据。相应的误差值分别为0.383和0.013。此外,以kTW为27.461mm,锥角为0.582°,获得最佳设定,用于多个响应优化。

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