Comparative Study of Performance of Milling Machine for Optimum Surface Roughness

Milling is a material removal process which is very commonly used and the most general form of machining process in industries, which can create a variety of features on a part by cutting away the unwanted material. Central workshop of Bhilai Institute of Technology Durg which is a premier Engineering College in Central India has two milling machines which are used to perform practical of engineering students. The objective of this paper is to identify the process parameter which gives optimum surface roughness. Surface roughness is one of the most specified customer requirements in a machining process. Surface roughness made up of the fine irregularities of surface textures, as well as feed marks generated by the machining process. The quality of surface is significantly important factor in evaluating the productivity of machine tool and machined parts. There are many milling machine process parameters like cutting speed, feed, depth of cut, material removal rate (MRR) and machining time etc. are used. The process parameter cutting speed, feed and depth of cut are critical parameter which affect the surface roughness of work piece so these three process parameter are selected for optimization. So it is required to find a suitable optimization method which can find optimum value of cutting parameters for minimizing surface roughness. Taguchi method will be used to get optimum surface roughness. The setting of parameter will be determined by using Taguchi’s orthogonal array. Analysis of variance (ANOVA) will be used for analysis. Here machining process will be carried out on mild steel material in water cooling condition in two milling machines.