Abstract
This study presentes a combination method of several optimization techniques and Taguchi method to solve the multi-objective optimization problem for surface grinding process of SKD11 steel. The optimization techniques that were used in this study were Multi-Objective Optimization on basis of Ratio Analysis (MOORA) and Complex Proportional Assessment (COPRAS). In surface grinding process, two parameters that were chosen as the evaluation criterias were surface roughness (Ra) and material removal rate (MRR). The orthogonal Taguchi L16 matrix was chosen to design the experimental matrix with two input parameters namely workpiece velocity and depth of cut. The two optimization techniques that mentioned above were applied to solve the multi-objective optimization problem in the grinding process. Using two above techniques, the optimized results of the cutting parameters were the same. The optimal values of workpiece velocity and cutting depth were 20 m/min and 0.02 mm, respectively. Corresponding to these optimal values of the workpiece velocity and cutting depth, the surface roughness and material removal rate were 1.16 µm and 86.67 mm3/s. These proposed techniques and method can be used to improve the quality and effectiveness of grinding processes by reducing the surface roughness and increasing the material removal rate.
Highlights
In the machining methods, grinding method are the most common method to machine the surfaces that requires high precision and high surface gloss
Mahajan et al [1] determined the optimal value of wheel grit size, the grinding wheel speed, the feed rate per revolution, and depth of cut in surface grinding process of D2 steel
This study found that to obtain the minimum of surface roughness, the depth of cut, the workpiece velocity, and cross feed rate were 0.1, 20, and 10, respectively
Summary
In the machining methods, grinding method are the most common method to machine the surfaces that requires high precision and high surface gloss. Nhu-Tung Nguyen, et al - Combination of taguchi method, moora and copras techniques in multi-objective optimization of surface grinding process the minimum values of both Ra and Rz, the wheel grain size, the grinding wheel speed, depth of cut, and feed rate were 54 (mesh), 0.05 (mm), and 0.45 (mm/stroke), respectively. This study showed that to ensure the minimum values of system vibrations, the cutting velocity, workpiece velocity, and cross feed rate were 3000 (rpm), 11 (mm/s), and 5 (mm/stroke), respectively From above studies, it shows that the Taguchi method has been successfully applied in solving the optimization of the surface grinding process in many specific cases. The two techniques MOORA and COPRAS successfully applied in solving the multi-objective optimization problem of the surface grinding process in this study, and opened up a very potential research direction in multi-objective optimization of other machining processes
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