Machining is an important fabrication process in manufacturing industry and is achieved using various cutting tools. Apart from its intended applications the machined components may have to meet the ergonomics need. Understanding of the process parameters involved in machining of the finished product is made easy by mathematical modeling, relating the cause and action. Investigations were carried out to improvise the cutting tool life using numerical & finite element models to link process variables in machining to process outcomes such as tool life, surface roughness & wear resistance. The present work makes an attempt to carry out empirical modeling of the machining aspects of Inconel 718 & Ti-6Al-4V alloys with indexable carbide inserts. The effective contribution of input parameters over the process outcome was determined using statistical tool Minitab - 17.

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