Productivity and quality improvement by optimization of milling parameters of super alloy

Machining is one of the ways to get a component of our idea into this real world. In spite the fact of its cost it is widely used in industries. Milling is one of the maximum flexible conservative machine tools with a wide variety of metal removing competence. Milling machine tool has the capability to run much more complicated operations that involves indexing and much more for gear manufacturing. This work is projected to give you a vision about the effect of the process parameters on the competence of machining. Here we have carried out face milling operation on a super alloy and studied the influences of process parameters on finish and productivity of the component. Orthogonal array is created for 3 levels 3 factors design and using Taguchi Design, experiments are carried out to study performance of machining. The machining data are then used to generate a mathematical model which on later proved to be efficient with analysis of variance. (C) 2019 Elsevier Ltd. All rights reserved.