Abstract
The sporadic increase in demand for higher machining efficiency brought about various researches aimed at improving the condition of cutting tools against wear, which may lead to poor dimensional accuracy, damages to the tool and work piece, and also degrades the surface condition of the work piece. This study involved modeling and simulation of carburized cutting tool developed from recycled steel with palm kernel shell as carbon additive.Performance evaluation through experimental test and validation with model by using MATLAB to obtain optimal cutting parameters for the best performance was considered. The modelling involved transfer of macro particles consisting process of abrasion and adhesion commonly known as mechanical wear. Under this condition of mechanical wear, “deterministic” model was set up to handle abraso-adhesion processes but having some difficulties and therefore resulted to modelling the processes using stochastic process. This approach is used in creating equation for flank wear growth. Wear land and rates which were simulated with graphical representation also confirmed better performances over the imported control sample.
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