複合指標加工參數優化及刀具臨界壽命監控智慧系統整合研究

Research on Optimization of Processing Parameters of Compound Index and Intelligent System Integration of Tool Critical Life Monitoring

王貫宇(Guan-Yu Wang)

指導教授 ： 王世明

中原大學/工學院/機械工程研究所/碩士(2017年)

https://doi.org/10.6840/cycu201700911

摘要

本研究主要開發一套在滿足加工精度的前提下，提高加工效率和降低能耗的同步複合優化系統。使用者在精度指標參數優化系統輸入加工資訊，系統會根據切削理論和迴歸模型或者可利用iKMS資料庫找出起始建議加工參數，再將起始建議加工參數匯入能耗優化系統進行能耗優化，最後再將優化過的加工參數匯入精度指標參數優化系統，確認最後的加工精度是否符合需求，若沒有符合則可以提升轉速以符合需求加工精度，最後結合迴歸模型及切削公式並利用Visual C#建立複合指標加工參數優化系統，由於在加工過程中刀具的狀態也會影響加工效率、加工精度，若能有效掌握換刀時機也能提升加工效率，故本研究也整合研究室先前所開發的刀具臨界壽命監控系統，提供使用者一個完整的智能監控系統。研究最後進行實際切削驗證以驗證系統的可行性，實驗結果顯示複合加工參數優化系統可在符合加工精度的情況下提高加工效率約15%和降低能耗15%，且過往實驗證明刀具臨界壽命監控模組可以很準確的偵測刀具臨界壽命。

關鍵字

參數優化 ； 能耗優化 ； 刀具臨界壽命監控

並列摘要

This study mainly develops a synchronous compound optimization system which can improve the processing efficiency and reduce the energy consumption under the premise of satisfying the machining precision. The user in the precision index parameter optimization system input processing information, the system will be based on the cutting theory and regression model or can use the iKMS database to find the initial suggested processing parameters, and then the initial proposed processing parameters into the energy consumption optimization system for energy consumption Optimization, and finally the optimized processing parameters into the accuracy of the parameters of parameter optimization system to confirm whether the final processing accuracy to meet the demand, if not meet the speed can be increased to meet the needs of processing accuracy, and finally combined with the regression model and the use of Visual C # to establish a composite index processing parameters optimization system, due to the process of the tool in the state will also affect the processing efficiency, processing accuracy, if you can effectively grasp the timing of the tool can also improve the processing efficiency, so this study also integrated research room previously developed Tool critical life monitoring system to provide users with a complete intelligent monitoring system. Finally, the actual cutting verification is carried out to verify the feasibility of the system. The experimental results show that the composite machining parameter optimization system can improve the machining efficiency by about 15% and reduce the energy consumption by 15% in accordance with the machining precision. In the past, The module can detect the critical life of the tool very accurately.

並列關鍵字

Parameter optimization ； energy consumption optimization ； tool critical life monitoring

參考文獻

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