The Application of Uniform Design and Fuzzy Analysis to CNC Machine Tool Leveling Accuracy Adjustment

作     者：Chen, Shao-Hsien Tsao, Jia-Xin 

作者机构：The Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology No.57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung41170 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung Taiwan 

出 版 物：《International Journal of Precision Engineering and Manufacturing》 (Int. J. Precis. Eng. Manuf.)

年 卷 期：2024年第25卷第8期

页      面：1651-1667页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 081203[工学-计算机应用技术] 0817[工学-化学工程与技术] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0802[工学-机械工程] 0703[理学-化学] 0811[工学-控制科学与工程] 0701[理学-数学] 081102[工学-检测技术与自动化装置] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

主　　题：Electrolytes 

摘      要：A leveling accuracy adjustment equipment system and module for precision machinery were developed in this study with the fundamental purpose of increasing measurement accuracy and establishing a leveling adjustment method. The leveling system and module were self-developed software and firmware. The sensor module used electrolyte tilt sensors as measurement components. The experimental method was performed in three stages. In Stage 1, intelligent leveling accuracy measurement equipment and system were developed. In Stage 2, the uniform design method was used to design the experiments, and different parameters were verified. In Stage 3, the fuzzy method was used for prediction and verification. In terms of the stability of the self-developed measurement equipment, the precision (Cp value) of this equipment was greater than Class A, while in terms of reproducibility, the Cp value and accuracy (Ca value) of this equipment were of Class B and Class A, respectively. Finally, the resolution test revealed that the minimum resolution attained was 2 μm. In average curve fitting, the fitting degrees of the total X and Y axes of the uniform design method in the designed experiments were 90.47% and 92.34%, respectively. After fuzzy inference, the prediction model adjusted X and Y axes errors reached the target adjustment value of ± 0.02 mm, and the target values of the distance X and Y axes were increased by 88.67% and 62.67%, respectively on average, indicating successful development of the measuring method and equipment. © The Author(s), under exclusive licence to Korean Society for Precision Engineering 2024.