Multi-objective optimization of SKD11 Steel Milling Process by Reference Ideal Method

Abstract

For all machining cutting methods, surface roughness is a parameter that greatly affects the working ability and life of machine elements. Cutting force is a parameter that not only affects the quality of the machining surface but also affects the durability of cutter and the level of energy consumed during machining. Besides, material removal rate (MRR) is a parameter that reflects machining productivity. Workpiece surface machining with small surface roughness, small cutting force and large MRR is desirable of most machining methods. This article presents a study of multi-objective optimization of milling process using a face milling cutter. The experimental material used in this study is SKD11 steel. Taguchi method has been applied to design an orthogonal experimental matrix with 27 experiments (L27). In which, five parameters have been selected as the input parameters of the experimental process including insert material, tool nose radius, cutting speed, feed rate and cutting depth. Reference Ideal Method (RIM) is applied to determine the value of input parameters to ensure minimum surface roughness, minimum cutting force and maximum MRR. Influence of the input parameters on output parameters is also discussed in this study.

Multi-criteria decision making under the MARCOS method and the weighting methods: applied to milling, grinding and turning processes

“…There have been a number of multi-criteria decisionmaking methods that have been used to make multicriteria decisions for milling processes such as: using the RIM method to solve the multi-objective optimization problem of steel milling SKD11 to ensure simultaneously minimum surface roughness and cutting force, and maximum MRR [4]; the TOPSIS method is used when milling Ti-6Al-4V alloy to ensure the minimum surface roughness and maximum MRR [5]; using the PIV method to ensure the minimum surface roughness and the maximum MRR simultaneously when milling SCM440 steel [6]; the MOORA method was used to provide simultaneous surface roughness and three components of cutting force, and maximum MRR when milling Ti-6Al-4V alloy [7]; the TOPSIS method and the WASPAS method were applied for getting simultaneously the minimum surface roughness and dimensional deviation, and the maximum MRR when milling steel EN-31 [8]; the VIKOR method has been applied to simultaneously optimize the minimum surface texture and three cutting force components, and the maximum MRR when milling aluminum alloy AA3105 [9], etc.…”

Multi-Criteria Decision Making in the Milling Process Using the PARIS Method

“…When comparing two alternatives, the one with the smaller GINI index value is the better one. Equation (24) has been applied to calculate the GINI index value for the data in Tables V-X. The results are presented in Table XI.…”

“…Experiments were carried out on a 3-axis machining center. The values of the 6 input parameters are presented in Table I [1,24]. As the number of inserts varies in each experiment, 3 different types of inserts have been used.…”

“…The basic geometrical parameters of the selected insert types are the same. Specifically, the main cutting angle is 90 0 , the main cutting-edge length is 10mm, and the blade width is 6.8mm [24]. The Taguchi method was used for the experimental design due to its advantages [25,26].…”

Multi-Objective Optimization in Turning Process Using RIM Method

“…Reference Ideal Method (RIM) is a method for multi-objective optimization, introduced in the first time in 2014 [21]. It was applied in a number of cases such as: selecting aircraft for the Spanish army [22], optimizing milling process [23][24][25]. One important advantage of this method over other MCDM methods is that there is no need to normalize data.…”