Optimization of Machining Parameters in AWJM Process for Lead Tin Alloy Using RSM and Regression Analysis

K. S. Jai Aultrin; M Dev Anand

doi:10.15866/ireme.v9i2.4791

Optimization of Machining Parameters in AWJM Process for Lead Tin Alloy Using RSM and Regression Analysis

K. S. Jai Aultrin⁽¹⁾, M Dev Anand^(2*)

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DOI: https://doi.org/10.15866/ireme.v9i2.4791

Abstract

For the past several years, we have realised a rapid growth in cutting of hard metals and alloys using unconventional machining process. AWJM is recently developed unconventional machining processes in cutting different kinds of hard materials these days. The principle in which this process works is based on the principle water jet mixed with abrasives resulting in very high velocity that when it impacts on the work piece removes the surface of the work piece. Machine economics and quality of machining are determined by the machining parameters. In this study the effect of five process parameters on MRR and SR for the American element named Lead Tin alloy which is cut by abrasive waterjet cutting machine was experimentally done and analyzed. Based on the Response Surface Methodology, different sets of experiments were conducted on this element by varying the water pressure, abrasive flow rate, orifice diameter, focusing nozzle diameter and standoff distance. In this paper a predictive model for MRR and SR is developed for this Lead Tin alloy using regression analysis and the effects of process parameters on MRR and SR has been studied in abrasive waterjet cutting of Lead Tin alloy and found that all parameters and along with their interactions have significant effect on the MRR and SR.
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Keywords

Abrasive Water Jet Machining; Response Surface Methodology; Regression Analysis; Material Removal Rate; Surface Roughness

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