Multi-objective optimization of AWJM of lead tin alloy by GRA

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Last decades have witnessed a rapid growth in the development of harder, difficult and complexity to machine metals and alloys. AWJM is one of the most freshly built up non traditional machining in processing various types of hard-to-cut materials nowadays. It is an economical method for heat sensitive materials that cannot be machined by processes that produce heat while machining. Machining parameters play the lead position in bringing out the machine economics and machining quality. This research examines the persuading and parametric optimization of five parameters of the process for Abrasive water jet machining of Lead Tin alloy involving grey relation analysis. Depending upon RSM various sets of research have been performed on this element by changeable five different parameters on MRR and SR. ANOVA has been carried out to recognize the noteworthy parameters which affect toughness of abrasive waterjet machining process. The consequence of the experiments for best possible setting proves that there is extensive development in the process. The main objective of grey relational analysis is to translate the multi response variable in to a single response grade.




Dev Anand, M., Jai Aultrin, K. S., Ramanan, G., & Neela Rajan, R. R. (2019). Multi-objective optimization of AWJM of lead tin alloy by GRA. International Journal of Recent Technology and Engineering, 8(2 Special Issue 3), 72–83.

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