應用模糊語意於多目標數控車削之最佳化研究

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應用模糊語意於多目標數控車削之最佳化研究

MULTI-OBJECTIVE OPTIMIZATION OF CNC TURNING PARAMETERS USING FUZZY ANALYSIS

翁義哲 , Masters　　Advisor：王明庸　　

繁體中文

表面粗糙度、刀具磨耗、材料移除率、理想解類似度順序偏好法(TOPSIS)、田口法、模糊理論； Taguchi Method ； Material Removal Rate ； Tool Wearing ； Surface Roughness ； TOPSIS Analysis ； Fuzzy Analysis

Abstract │ Reference (37) │ Times Cited (3) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Nowadays cutting processing has become one of the basic methods of machine manufacture. With the advance of technology, unitary precision has failed to meet the demand for manifold uses of machines whose processing involves complicated parameter variables.  Given this demand, it is urgent to optimize the process of manufacturing to measure up to requirements of multiple quality dimensions.  In addition, the feasibility of quantitative research is to be considered to deal with cases where measurements are not easily obtained or will not be obtained with the aid of expensive instruments.  This research applies fuzzy analysis to discuss quantitative feasibilities concerning “surface roughness”, “tool wearing”, and “material removal rate”.  Meanwhile, it aims to integrate multiple quality dimensions by using “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS).
In this research, experiments are designed based on the orthogonal arrays   developed by Genichi Taguchi (Taguchi methods).  To fit the purpose of this research, four variables (cutting depth, feed rate, spindle speed, runoff), along with three levels (low, middle, high), are selected to perform these experiments.  Furthermore, to specify factor interactions between these variables, fuzzy analysis is adopted to set up semantic rules between turning parameter and these variables, using algorithms to numerate, sort and estimate them.  By employing Taguchi methods, the most feasible turning parameter is identified and applied to actual cutting on a CNC lathe.  Results from these operations can be used as references for future manufacturing designs.
The results of this research show that A1B1C1D2 is the most feasible turning parameter verified by quantitative fuzzy analysis.  Ordered by TOPSIS, it ranks among top ten in the percentage of total experiments, a result which ensures its application in non-experimental circumstances.  These experiments demonstrate how the adoption of A1B1C1D2 helps save costs and manpower in actual cutting processing.  This research offers a CNC cutting processing whose adoption of the most feasible turning parameter not only economizes the manufacturing process but increases competitive advantages in industry.

Reference ( 37 ) 〈TOP〉

[1] C. Y. Nian, W. H. Yang , and Y. S. Tarng ,“Optimization of Turning Operations with Multiple Performance Characteristics”, Elsevier Science ,1998.
連結：
[2] S. H. Yeo, “A Multi-Pass Optimization Strategy for CNC Lathe Operations”, Elsevier Science ,1995.
連結：
[3] W. S. Lin, B. Y. Lee, and C. L. Wu, “ Modeling the Surface Roughness and Cutting Force for Turning”,Elsevier Science ,1999.
連結：
[4] D. Gillibrand, M. Sarwar, and C. T. Pierce “The Economic Benefit of Finish Turning with Coated Carbide”, Elsevier Science, 1996.
連結：
[5] J. P. Davim, C. A. Conceicao Antonio, “Optimization of Cutting Conditions in Machining of Aluminium Matrix Composites Using a Numerical and Experimental Model” ,Elsevier Science , 2001.
連結：

Times Cited (3) 〈TOP〉

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