A study for minimum root mean square surface roughness during the turning of AISI 316 L stainless steel

Abstract

Machining parameters such as cutting speed, feed rate and depth of cut play a vital role in machining the given work piece to the required shape. These have a major effect on the quality of production, cost of production and production rate; Turning is the most common process associated with the production of cylindrical shapes because of its simplicity, rapidity and economy. However, it is one of the most complex cutting processes. Roughness is often a good predictor of the performance of mechanical components, since irregularities in the surface may form nucleation sites for cracks or corrosion. The purpose of the metal cutting process is not only to shape machine components but also to manufacture them so that they can achieve their functions according to geometric, dimensional and surface considerations. (Abhang et al.2011) There are machining processes such as turning, milling, drilling, shaping, slotting, grinding etc. In the present work, turning process has been taken up for the selection of cutting parameters for minimum Rq : root-mean-square roughness An attempt has also been made to investigate the effect of turning parameters on surface roughness parameters. As, the turning process is the most productive process, the study is expected to be quite beneficial. Ferrous metals are widely used in manufacturing industries. Among the various ferrous materials the AISI 316 L stainless steel is quite popular main engineering materials in various industries. The aim of present study is to develop surface roughness prediction models using response surface methodology (RSM) based on centre composite rotatable design (CCRD). Key point: feed, speed depth of cut, FCD, CCRD, RSM, DOE