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This novel implementation will analyse the cutting performance of hardstone aluminium nitride with regards to roughness of the surface and material erosion in hot abrasive jet machining (HAJM). Forty five sets of tests have been carried out taking into account five machining constraints (compressed air pressure, compressed air velocity, abrasive temperature, abrasive grain size and percentage concentration of hot abrasives). To optimise the model and determine the conditions for maximising the erosion rate and minimising the surface roughness, a particle swarm optimisation (PSO) was used with experimental investigation as well as predictive modelling. The results were validated experimentally, and the results were well-established between test results and PSO forecasts. The nature of the produced target profile was obtained through CFD simulation in HAJMing. In addition, HAJMed surface microstructures were analysed with microscopic images. The results of RSM data have been validated by testing and RSM prediction. In addition, a multi-objective optimisation problem based on the empirical models was used and the multi-objective particle swarm optimisation (PSO) were determined. In AlN ceramic materials, the RSM with PSO determined the optimal machining restriction for an exact HAJMing condition.

Machining of aluminium nitride ceramic using developed hot abrasive jet machining: an experimental and simulation approach