Abrasive water jet machining (AWJM) is an advanced non-traditional material removal process which can machine almost all types of thin hard-to-cut materials. The quality of its machining operation can be effectively enhanced while selecting the appropriate settings of its different input parameters through the application of optimization techniques. This paper aims in obtaining the optimal combination of four AWJM control parameters, such as water jet pressure, stand-off distance, abrasive mass flow rate and traverse speed while machining of glass fiber reinforced polymer (GFRP) composites. Grey relational analysis combined with fuzzy logic is employed here for attaining the most favored values of the process outputs (responses), i.e. material removal rate, surface roughness, kerf width and kerf angle. The effects of varying AWJM process parameters on the measured responses are further studied through the developed interaction plots, while the contributions of those process parameters are identified through analysis of variance technique. The response surface plots would further help in determining the attainable values of the corresponding process parameters to realize the desired quality of the considered responses.

磨料射流加工（AWJM）是一种先进的非传统材料去除工艺，可以加工几乎所有类型的难以切割的薄材料。通过应用优化技术，在选择其不同输入参数的适当设置的同时，可以有效地提高其加工操作的质量。本文旨在获得在加工玻璃纤维增​​强聚合物（GFRP）复合材料时的四个AWJM控制参数的最佳组合，例如喷水压力，隔离距离，磨料质量流速和横向速度。本文采用灰色关联分析与模糊逻辑相结合，以获得过程输出（响应）的最有利值，即材料去除率，表面粗糙度，切缝宽度和切缝角度。通过开发的交互作用图进一步研究了变化的AWJM工艺参数对所测响应的影响，同时通过方差分析确定了这些工艺参数的贡献。响应表面图将进一步帮助确定相应过程参数的可达到值，以实现所考虑响应的期望质量。