TY  - JOUR
AU  - Lan, Tian-Syung 
PY  - 2011
TI  - Fuzzy Parametric Deduction for Material Removal Rate Optimization
JF  - Journal of Mathematics and Statistics
VL  - 7
IS  - 1
DO  - 10.3844/jmssp.2011.51.56
UR  - https://thescipub.com/abstract/jmssp.2011.51.56
AB  - 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.