Study of the On-machine Intelligent Inspection Error Compensation Methods and System

• Main Authors: Yung-Hsi Chen, 陳永曦
• Other Authors: Shih-Mimng Wang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/09009294096550386254

碩士 === 中原大學 === 機械工程研究所 === 101 === The purpose of this study is mainly to develop an automatic fusion on-machine intelligent detection and compensation system for precision tuning process. With use of vibration signal processing/analysis technology combined with Information and Communication Technology, the system can on-machine automatically complete the size inspection, tool wear compensation, and decide the appropriate time for cutter replacement. Comparing with the traditional inspection method and manual operation way, the system offers the advantages of less manpower required, better production efficiency, high tool life, low scrap parts, low cost for inspection instrument. With the collected inspection data, the system also provides function of statistical process control to monitor the manufacturing process, so that the project engineers may early prevent the production abnormality. Algorithms and diagnosis threshold values for the detection, cutter wear compensation and cutter life monitoring were developed. A bi-lateral communication module utilizing FANUC Open CNC API Spec was developed to on-line extract the instant NC codes for monitoring and transmit commands to CNC controller for cutter wear compensation. With use of Local Area Network (LAN) to deliver the detection and correction information, the system was able to the remote control the on-machine monitoring process and upload the machining and inspection data to remote central platform for future production optimization. According to the results of verification experiments from production line, it has shown that the system provided 93% correction for size inspection and 100% correction for cutter wear compensation.