Study on optimal machining parameters for specific tool life by using fuzzy inference

• Main Authors: Shao-Ko Chao, 趙紹格
• Other Authors: Po-Tsang Huang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/nrt4u7

碩士 === 中原大學 === 工業與系統工程研究所 === 106 === With the advent of Industrial 4.0, unmanned factories has become the current trend,and the processing machine can determine the time to change the knife is one of the recent hot topics, so that a variety of different predictive models are born. The prediction model of the fuzzy theory provides a logic system to deal with human logical inference. It can be used to design intelligent system to parse semantic and analyze descriptive language, putting human''s thinking into the machine, so that the machine could be more flexible to interpret the tool with changing time. This research develops the best life parameter of micro-drilling tool. It combines the If-THEN rule base of the fuzzy theory with the design of experiment, and sets up different processing parameters. Next it obtains the corresponding hole number, and puts the above data into the fuzzy rule base. Then,it uses the character of the fuzzy rule storehouse to find the best parameter. Finally it can achieve the target values set by the experiment, and meet the economic benefits to control the production costs more closely. In order to verify the accuracy of this research model, this study is divided into two groups, using two sets of different target values to determine the best parameters of prediction. On the target value, it can drill 120 holes and the membership function is 7, the prediction accuracy can reach up to 98.33%;however, on the actual value, it can drill 117 holes and the membership function is 7. The accuracy of the forecast can reach up to 99.16%. Therefore, we can verify that the model of this study has certain prediction accuracy and reliability.