Multi-Objective Optimization of Turning Parameters to Minimize Surface Roughness and Material Removal Rate Using TOPSIS Combining Entropy Weight

Product surface quality, including surface roughness, is the most important parameter to be achieved in machining. However, due to competitive pressure in the current global economy, in addition to ensuring the technical requirements of products, improving cutting productivity is also a goal that must be achieved at the same time. This paper presents a multi-objective optimization model to optimize the technological parameters in the hard turning of 9XC steel. The two objectives are the surface roughness Ra and material removal rate MRR are optimized simultaneously. The investigated technological parameters are cutting speed Vc, feed rate fz and depth of cut ap. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is applied to identify the optimal cutting parameters and the obtained results indicate that ap is the most significant factor followed by the fz and Vc.