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Optimization Of Abrasive Waterjet Machining Process Parameters Using Orthoganalarray With Grey Relational Analysis

机译:基于灰色关联分析的正交法优化磨料射流加工工艺参数。

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摘要

In the present work, the optimization of the abrasive water jet machining (AWJM) process parameters with multiple performance characteristics based on the orthogonal array with the grey relational analysis (GRA) has been studied. Optimization of multiple response characteristics is far more complex compared to optimization of single performance characteristic. A grey relational grade (GRG) calculated based on grey relational analysis is used to optimize the AWJM process with the multiple performance characteristics. In the present study, four machining parameters, namely hydraulic pressure, abrasive mass flow rate, standoff distance and traverse rate are optimized with consideration of multiple performance characteristics viz., surface waviness at four different heights of a Kevlar composite laminate. Experimental results have shown that machining performance in the AWJM process can be improved effectively using this approach.
机译:在当前工作中,研究了基于带有灰色关联分析(GRA)的正交阵列的具有多种性能特征的磨料水射流加工(AWJM)工艺参数的优化。与单一性能特征的优化相比,多重响应特征的优化要复杂得多。基于灰色关联度分析的灰色关联度(GRG)被用于优化具有多种性能特征的AWJM工艺。在本研究中,考虑到多个性能特征,即在凯夫拉尔复合材料层压板的四个不同高度处的表面波纹度,优化了四个加工参数,即液压,磨料质量流速,支座距离和横向速度。实验结果表明,使用这种方法可以有效地改善AWJM加工中的加工性能。

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