Experimental Study and Simulation of Abrasive Water Jet Machining Process Parameters Using Intelligent Techniques

Abstract

ABSTRACT newlineAbrasive Water Jet Machining (AWJM) process is a state of the art technology, newlinewhich is used for machining mostly in strategic and space, defense exploration newlineindustries. As a result, much remains still to be learnt about the process and technology, newlineas most of the knowledge regarding Abrasive Water Jet (AWJ) is considered to be newlineclassified. Soft computing based approach was adopted to generate results directly for newlinethe users based on the experimental data. It will be an operator delight, in whatever newlinemachining method one uses, to machining the work pieces having maximum Material newlineRemoval Rate (MRR) with a least of Surface Roughness (SR). Examining the effects of newlinethe a range of AWJM parameters of the process on MRR and SR to obtain the optimal newlinesets of process parameters to produce efficient high quality machining is performed. newlineIn this thesis, a systematic study was conducted as per a Design of Experiment newline(DOE) matrix. Software named Minitab is used to select the suitable design for newlineexperimentation. In that the Box-Behnken design of Response Surface Methodology newline(RSM) has been utilized for investigating the influence of the AWJM process newlineparameters and predicts sets of optimal parameters. newlineStatistical Regression Analysis (SRA) was carried out to establish input output newlinerelationships of the process. The working ranges and levels of the AWJM parameters of newlineprocess have been taken considering the machine specification as well as handbooks. newlineExperimentation is done in AWJ machine for machining the three alloys based on the newlinecombination of the experimental design for 5 input parameters on MRR and SR as newlineoutput parameters. The ANOVA technique has been adopted for confirming whether newlinethe experimental values are is fit or unfit for further analysis. The multi regression newlinemathematical modeling has been developed for the output parameters of the three newlinealloys for evaluating the error values. The results exhibited how conventional are the newlineparameters of machining chosen using off-line methodologies. newlineGrey Relational Analysis (GRA) is p