| Summary: | 碩士 === 中原大學 === 機械工程研究所 === 99 === By using signal processing and diagnosis technology and ICT technology, the main purpose of this study is to develop an on-line intelligent monitoring and control system of abnormal machining and a machining process improvement system for CNC machine tools. The system can be used to enhance the machining accuracy, improve yield rate of production, and optimize the machining parameters. The system is designed to monitor/control three type of abnormal machining phenomenon: chatter, built-up-edge, and cutter breakage. The system composes two units: (1) on-site monitoring unit; (2) process optimization unit. To increase diagnosis efficiency and reliability, the on-line monitoring system uses signal variation characteristics analysis and Fast Fourier Transfer instead of complex single transfer methods for signal analysis. Besides, Fanuc Open CNC Api Spec is used to develop a program which can on-line extract the instant NC codes and machine state parameters from the CNC controller as reference to avoid fail diagnosis. The system can provide early warning for and control for abnormal machining to improve machining accuracy and protect the machine and cutter. The experimental results have shown that the chatter can be diagnosed within 1 second and suppressed within 3 seconds, and the built-up-edge and cutter breakage can be diagnosed within 3 seconds and controlled within 5 seconds. In addition, though analyzing the monitoring data and computation with process optimizing algorithm the process optimization unit can recommend the machining parameters for better machining efficiency or better machining accuracy.
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