Real-time Chatter Suppression and On-line IoT Cloud Platform System for End-Milling Process

• Main Authors: LIN, PO-HUA, 林柏華
• Other Authors: CHANG, WEN-YANG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/w99x95

碩士 === 國立虎尾科技大學 === 機械與電腦輔助工程系碩士班 === 107 === In recent years, the aerospace industry is rising, milling of high hardness alloy materials has become trend; however, the stability of milling is changed with machine rigidity, material properties and tool geometry. The traditional experience method has not been able to deal with chatter of processing. On-line chatter suppression technique can be used to avoid the unstable cutting conditions by milling stability model and obtaining the stable maching parameters. This study is divided into intelligent chatter suppression and IoT coud patform systems. Intelligent chatter suppression system is built, which includes milling stability modeling and cutting parameter optimization algorithm. The stability model of milling is divided into three parts. First, the cutting forces are estimated using dynamic meter and the cutting force coefficients are calculated using linear regression in process, the cutting force coefficient experimental results show that the same tool and material properties at different depths have an average error of 5% to 19%. Second, the spindle model parameters of the cutting tool system are estimated by dynamic rigidity experiment. Furthermore, the stability model of milling for chatter is based on professor Altintas, and this stability model constructs a relationship between the spindle speed and cutting depth by regenerative chatter theory and frequency respond function, the chatter stability model verification experimental results of slot show that the initial prediction accuracy is about 90%. When chatter is detected on-line, the optimal parameters of cutting is obtained from gradient rising and shortest distance of search algorithm methods according to stability model of milling, and provides stable processing conditions to the controller. The second part focuses on IoT cloud platform, the experiment data and processing information are collected from CNC controller of five-axis machine tool, and the CNC controller uploads the data to cloud platform to manage and store. The chatter information in processing is stored in the database, so that user can more easily adjust the parameters during the processing. The cloud website will present all of processing information.