Empirical Modeling of Turning Parameters Using Grey Relational Analysis

Optimization of multi-criteria problem is a great need of producers to produce precision parts with low costs. Many methods such as Taguchi and Response surface methodology have been employed for optimization of turning operation. However there are few researches involve the optimization of multi-response problem in turning process. The attempt of this paper is to optimize multi-performance characteristics of turning process using grey relational analysis based on factorial design with response surface methodology. The response table and response graph for each level of the machining parameters is obtained and optimal levels of turning parameters including cutting velocity, feed rate, depth of cut, tool nose radius and concentration of lubricants are found. The multiple performance characteristics including tool wear rate, cutting force and chip-tool interface temperature is considered.