Analysis and Prediction of Machining Parameters Process Using Face Milling Operation


Moaz H. Ali*


Department of Computer Engineering techniques, AlSafwa University College, Iraq

Corresponding Author Email: moaz.h.ali@alsafwa.edu.iq

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Machining alloys such as an alloy of titanium (Ti-6Al-4V) is considered to be a critical process due to enormous hotness construction at the cutting region among the interaction surface of effort piece substantial and cutting instrument edge. The present work is performed using not the same cutting quickness with a constant feed rate and deepness of cut in a waterless cutting situation to expect the machining parameters responses. A reliable finite element model of machining progression of an alloy of titanium is suitable to predict the cutting parameters, saving machining time and minimizing the manufacturing costs. A significant methodology for machining parameter prediction of a face milling operation is offered. The machining parameter of the work-piece material through the face grating process has been measured. Simulated data analysis of the FEM model for cutting operation has been advanced. The simulated outcomes of the model have been matched with the investigational data and it obtains a very good arrangement. A significant like trend was found among feed cutting strength and exterior unevenness as well as temperature. The model of finite element method (FEM) can be suitable to expect the machining factors to improve the cutting operation execution and therefore the goodness of products.