Answers are grounded in this paper and cite their sources.
In this paper, four parameters with three levels are considered to optimize the multi-attribute finish CNC (computer numerical control) turning based on L 9 (3 4 ) orthogonal array. Additionally, nine fuzzy control rules with respective to five linguistic grades for each attribute are constructed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is moreover utilized to integrate and evaluate the multiple machining attributes for Taguchi experiment to receive the optimum general deduction parameters. It is shown that the attributes from the fuzzy Taguchi deduction optimization parameters are all significantly advanced comparing to those from benchmark.
No takes yet. Share an insight, caveat, or question.
Tian-Syung Lan (2010) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: