Multi-objective Optimization in Turning Operation of AISI 1055 Steel Using DEAR Method

Abstract

This paper presents a study on multi-objective optimization of turning process AISI 1055 steel. It designs 9 experiments (L9) for a Taguchi test series matrix. The four parameters of input include spindle speed, feed rate, depth of cut, tool nose radius. The AISI 1055 steel machining operation experiments are carried out based on the matrix created. They are performed on a conventional lathe. The factors considered for evaluating the machining quality include surface roughness, cutting force in X, Y, Z directions and material removal rate (MRR). First, the research is carried out to identify the impact of the input parameters on the output parameters. Analysis of experimental results show that spindle speed significantly affects all three components of cutting force, but slightly influences the surface roughness. Regarding feed rate, this is the parameter that has a strong effect on surface roughness and cutting force Fx but not on the cutting force Fy and Fz. Meanwhile, the depth of cut has a considerable influence on the force in the x and y directions but a limited impact on the surface roughness and the force in the z direction. Similar to the cutting speed, the tool nose radius is noticeable to all three components of the cutting force and negligible to surface roughness. The second aim of this study is to determine the value of the cutting parameters to achieve the minimum of surface roughness and cutting force and the maximum of MRR. The Data Envelopment Analysis-based Ranking (Dear) method is applied to solve multi-objective problems. The paper identified the optimum values of spindle speed, feed rate, depth of cut and tool nose radius are 910 rev/min, 0.194 mm/rev, 0.2 mm and 0.2 mm, respectively.

Combining Taguchi method and DEAR method for multi-objective optimization of grinding process

“…-Dear method has been first applied to multi-objective optimization of X12M steel cylindrical grinding process. It not only has succeeded in determining the optimal value of input parameters in this study as well in published studies [20][21][22][23], but also promises to be successful in other studies when it is applied to determine the value of input parameters to simultaneously ensure multiple criteria of the machining process.…”

“…DEAR is a method used to generate multiobjective optimization that was first introduced in 2002 [19]. This method has been used in several studies such as multi-objective optimization of AISI 1055 steel turning process [20]; multi-objective optimization of Ti-6Al-4V alloy turning process [21]; multi-objective optimization of SAE420 steel grinding with segmented grinding wheel process [22]; multiobjective optimization of electrical discharge machining (EDM) for AA 6082 material [23], etc. However, there have been no published studies on the application of this method in multi-objective optimization of the cylindrical grinding process in general and X12M steel cylindrical grinding process in particular.…”

Parameter Selection to Ensure Multi-Criteria Optimization of the Taguchi Method Combined with the Data Envelopment Analysis-based Ranking Method when Milling SCM440 Steel

“…• DEAR method was not only successful in determining the optimal values of the input parameters in this study as well as in [25][26][27][28] but it is also quite promising to being successful in the future when applied to determine the value of input parameters to simultaneously ensure multi-criteria optimization of the machining process.…”

“…DEAR is a method used for multi-criteria decision making that was introduced in 2002 [24]. This method has been used for the multi-objective optimization of the AISI 1055 steel turning process [25], the Ti-6Al-4V alloy turning process [26], the SAE420 steel grinding with a segmented grinding wheel [27], of the Electrical Discharge Machining (EDM) with the material type AA 6082 [26], etc. However, to the best of our knowledge, there have been no published studies on the application of this method in multi-criteria decision making for milling methods in general and for milling SCM440 steel in particular.…”

Study on multi-objective optimization of X12M steel milling process by reference ideal method

“…In terms of optimization algorithm, there are currently many optimization algorithms that have been combined with the Taguchi method and have been successful in solving the multi-objective optimization problem in many different cases. For example: combining Taguchi method and Topsis method for multi-objective optimization of DIN 1.2379 steel milling by segmented grinding wheel [30]; combining Taguchi method and Dear method for multi-objective optimization of AISI 1055 steel turning process [31]; combining Taguchi method with Moora and Copras method for multi-objective optimization of SKD11 steel milling process [32], etc.…”