Application of TOPSIS Method in Multi-Objective Optimization of the Grinding Process Using Segmented Grinding Wheel

• Main Authors: D.D. Trung, N.V. Thien, N.-T. Nguyen
• Format: Article
• Language: English
• Published: University of Kragujevac 2021-03-01
• Series: Tribology in Industry
• Subjects: segmented grinding wheel; surface grinding; surface roughness; vibrations; mrr; multi optimization; taguchi; topsis
• Online Access: http://www.tribology.rs/journals/2021/2021-1/2021-1-02.html
• ISSN: 0354-8996; 2217-7965

Using a segmented grinding wheel improves chip release and heat release condition out of the cutting zone, facilitates the introduction of coolant into the cutting zone, as well as increases the ability to clean the grinding wheel surface. Therefore, using segmented grinding wheel promises to improve the quality and efficiency of the machining process. This paper presents a study about the multi-objective optimization of grinding process using a segmented grinding wheel. The parameters that are shosen as the output criteria are the surface roughness, amplitudes of system vibrations in X, Y, Z directions (Ax, Ay, Az), and the material removal rate (MRR). The experiments were performed in the surface grinding machine with the workpiece material of DIN 1.2379 steel and the grinding wheel material of aluminum oxide. The experimental matrix was designed using Taguchi method with nine experiment (orthogonal array L9) and with four input parameters (number of grooves, workpiece velocity, feed rate, and depth of cut). From the experimental data, the influence of input parameters on the output parameters were investigated. The TOPSIS method was applied to solve the multi-objective optimization problem. Then, the optimized set of input parameters was determined to ensure the minimum value of surface roughess, minimum values of three vibarion components, and to ensure the maximum value of MRR. Finally, the future research directions of this study were also proposed.