Abstract
In this study, the multi-objective optimization problem of turning process was successfully solved by a Taguchi combination method and MOORA techniques. In external turning process of EN 10503 steel, surface grinding process, the orthogonal Taguchi L9 matrix was selected to design the experimental matrix with four input parameters namely insert nose radius, cutting velocity, feed rate, and depth of cut. The parameters that were chosen as the evaluation criteria of the machining process were the surface roughness (Ra), the cutting force amplitudes in X, Y, Z directions, and the material removal rate (MRR). Using Taguchi method and MOORA technique, the optimized results of the cutting parameters were determined to obtain the minimum values of surface roughness and cutting force amplitudes in X, Y, Z directions, and maximum value of MRR. These optimal values of insert nose radius, cutting velocity, feed rate, and cutting depth were 1.2 mm, 76.82 m/min, 0.194 mm/rev, and 0.15 mm, respectively. Corresponding to these optimal values of the input parameters, the surface roughness, cutting force amplitudes in X, Y, Z directions, and material removal rate were 0.675 µm, 124.969 N, 40.545 N, 164.206 N, and 38.130 mm3/s, respectively. The proposed method in this study can be applied to improve the quality and effectiveness of turning processes by improving the surface quality, reducing the cutting force amplitudes, and increasing the material removal rate. Finally, the research direction was also proposed in this study
Highlights
Turning is one of the most common machining processes in the cutting methods
The work volume that the lathes perform about 40 % of the total workload of the machining processes, and the number of lathes accounts about 25–35 % of the total number of machine tools in the cutting workshop [1]
Many studies were performed to improve the accuracy and productivity of machining processes [1,2,3,4,5,6,7,8,9,10,11,12]
Summary
Turning is one of the most common machining processes in the cutting methods. The work volume that the lathes perform about 40 % of the total workload of the machining processes, and the number of lathes accounts about 25–35 % of the total number of machine tools in the cutting workshop [1]. Weighting factor method and GA algorithm were applied to optimize the turning process of 52100 steel [10]. Taguchi method was applied to optimize the turning process with different materials such as aluminum [11], polyethylene [12], thermoplastic polymer-delrin 500 AL [13], EN 8 steel [14], aluminum 6063 [15], AISI 316L stainless steel [16], AM alloy [17], AISI 1045 steel [18], S45C steel [19], Aluminum, Brass, and Copper [20], Mild Steel [21], EN 354 steel [22], Titanium Alloy Ti-6Al-4V [23], AISI 1020 MS steel [24], Aluminium-2014 Alloy [25], AISI 409 steel [26], P20 steel [27], and so on. Taguchi was combined to GA and PSO algorithm to optimize the turning process of S45C steel [33].
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