Abstract
Problem statement: A general optimization scheme without equipment operations for CNC (computer numerical control) finish turning is deemed to be necessarily developed. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the Material Removal Rate (MRR) based on L9(34) orthogonal array. Twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for material removal rate were additionally constructed. Considering thirty input and eighty output intervals, the defuzzification using center of gravity was moreover completed. Through the Taguchi experiment, the optimum fuzzy deduction parameters could then be received. Results: The confirmation experiment for optimum deduction parameters was furthermore computed within the parameter ranges on an ECOCA-3807 CNC lathe. It is shown that the material removal rate from the fuzzy deduction optimization parameters was significantly advanced comparing to that from the benchmark. Conclusions: This study not only proposed a parametric deduction optimization scheme using orthogonal array, but also contributed the satisfactory fuzzy approach to the material removal rates for CNC turning with profound insight.
Highlights
Material removal rate is commonly considered as Machining operations have been the core of the manufacturing industry since the industrial revolution (Rao, 2006)
This study definitely proposes a fuzzy deduction optimization approach and satisfactory fuzzy linguistic deduction technique for improving material removal rate in Computer Numerical Controlled (CNC) turning with profound insight
To verify the applicability of the optimum result achieved by our proposed deduction optimization technique, the machining operations under both fuzzy deduction optimization parameters and benchmark parameters; A, B, C, D, which are often introduced into the confirmation experiment in many of the studies (Tosun and Ozler, 2004; Lin and Lin, 2006) for comparison to the optimum parameters, are performed on the CNC lathe
Summary
Material removal rate is commonly considered as Machining operations have been the core of the manufacturing industry since the industrial revolution (Rao, 2006). With all the viewpoints above, this study considers four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) to optimize the MRR in CNC finish turning. The variable quantification and deduction optimization for CNC turning operations are proposed using fuzzy set theory and Taguchi method respectively Defuzzification: In this study, the three parameter levels are selected based on the Taguchi experimental method, each triangle membership function is related to the peak point of its fuzzy area. Considering thirty input and eighty output intervals, the defuzzification using center of gravity is super small small small super small large completed for the Taguchi experiment and the optimum general deduction parameters can be received. Small small [10,12.5,17.5,20] A little larger [40,42.5,47.5,50] Extreme large [70,72.5,77.5,80]
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