Optimization Of Cold Rolling Lubricant By Grey Relation Method

Abstract

Cold Rolling may be defined as the reduction of cross- section area of the metal stock or general shaping of the metal product through the use of rotating rolls below recrystallization temperature. During the cold rolling in a rolling mill, lubricants are used for lubrication to provide the desired rolled surface. Lubricants consists mineral oils, chemical additives, synthetic oil, biodegradable oil etc. Within this study, the performance of synthetic lubricant has studied on rolling specimen in terms of surface roughness and chemical wear. On the basis of lubricating and rolling parameter Design of Experiment (DOE) approach has been applied to generate best combination of experimental variables or input variables to become desired response variable. DOE is a systematic approach for investigation of a system or process. Through the DOE approach obtain the responses in terms of surface roughness and chemical wear and optimized these responses by grey relation method to find out the effect of rolling parameters on specimen.