BibTeX:

@article{IJIRSTV1I7086,
     title={Analysis and prediction of milling process on Vertical Milling Centre (VMC) by using Response Surface Methodology (RSM)},
     author={Tejaskumar Chandrakant Patel, Lalit S. Patel and Bhavesh C. Patel},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={7},
     pages={205--212},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I7086.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The main aim of this paper is to analyze and experimentally investigate the face milling parameters for purpose of maximizing material removal rate and minimizing surface roughness. Face milling parameters were analyzed to determine their significance on mild steel by design of experiments (DOE) with employing response surface method designs to have response (Material removal rate and surface roughness). The effects of following three parameters: spindle speed, depth of cut, feed will investigate upon following two performance measures: material removal rate and surface roughness on material of mild steel. The experimental results were analyzed using ANOVA and significance of effects of all the tested parameters upon performance measures was determined. Empirical models for tensile strength and distortion, in terms of significant parameters, were developed and numerical optimization was performed according to the desirability for the maximization of tensile strength and minimization of distortion.

Face Milling, Material Removal Rate, Surface Roughness, Response Surface Method, ANOVA.