Use of response surface methodology to optimal-parameters adjustmentfor CNC machine tool by corner speed control

Shao-Hsien Chen, Wern-Dare Jeh

Abstract

This paper mainly focuses on investigating the parameter adjustment of corner acceleration and deceleration speed, which mainly affects machining accuracy and efficiency, for CNC machine tool, coordinated with Regression Analysis Method and Taguchi Analysis Method to conduct the optimal design and prediction of the controller parameters. The equipment used in this study is FANUC high-end controller, its data acquisition software is servo guide. This study conducted analysis and adjustment for servo parameters of feed shaft on CNC accuracy machinery in three phases. In the first phase, Regression Analysis Method was adopted to conduct parameter screening from captured data; in the second phase, Regression Analysis Method and Taguchi Analysis Method were adopted to conduct the works of parameter optimization; and in the third phase, used both methods to carry out circular measurements and the planning and selection of important parameter data. In this study, Regression Analysis Method was used to predict the experimental data analysis, semi-normal probability chart, Plato and analysis of variance (ANOVA) were used to understand significant factors of parameters and effects of interactions, then calculated best value based on response surface chart and contour chart, and adopted Taguchi Analysis Method to conduct analysis, comparison and verification. The experimental result proved that the experiment after changed can improve experiment with verification, so the problem in parameter screening of Taguchi Analysis Method can be voided. This study adopted Experimental of Design (DOE) to carry out processing accuracy and processing efficiency.

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