Abstract
Abstract Machining of advance engineering ceramic materials are extremely demanded in present day precision industries as it has a wide and potential application in various fields i.e. automobile, aerospace and biomedical engineering. Silicon nitride ceramics (Si3N4) are difficult to machine in conventional machining methods. Hot abrasive jet machining (HAJMing) is a state-of-art technology which practically facilitates the machining in all the engineering materials. This experimental research deals with the investigation on optimization of process parameters of HAJMing of Si3N4 with hot SiC abrasive particles. The surface roughness, overcut and flaring diameter were studied against the HAJMing process parameters, namely, compressed air pressure, nozzle-tip- distance and abrasive temperature. Contribution of these constraints on outcomes was determined by analysis of variance. Also, Regression models were obtained for all the outcomes. CFD simulation for material erosion mechanism of HAJMing was used to obtain the nature of produced workpiece surface profile. Moreover, microstructures of HAJMed surface s were analyzed using scanning electron microscopic images. The outcomes of RSM data validated through experimentation and RSM predictive model. In addition, a multi-objective optimization problem has been employed based on empirical model objective functions and solved by multii objective genetic algorithm (GA). The RSM with GA was used to find out the optimum machining constraint value for an exact HAJMing condition in Si3N4 ceramic materials.
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