自動化砂輪磨耗補償及修整控制設備之開發研究

Development of Automatic Control system for the Compensation of Wear and Dressing in Grinding Machine

曾智昌(Zhi-Chang Zeng)

指導教授 ： 丁鏞

中原大學/工學院/機械工程研究所/碩士(2002年)

https://doi.org/10.6840/cycu200200613

摘要

本研究利用MatLab/Simulink所提供之Real-Time Windows Target即時控制系統，設計平面磨床多軸精密定位控制，經由理論推導數學模型及控制法則，再以實驗驗證後其結果良好，均可滿足需求。在砂輪磨耗研究方面，將對磨床在磨削時產生的砂輪磨耗作分析，找出自動補償之方式。而為省去量測砂輪磨耗之感測器，先利用測量儀器擷取大量之砂輪磨耗數據，再透過類神經網路之設計，推導出砂輪預估補償的模型。並經由實驗證明所推導之砂輪預估補償模型與實驗值頗為接近，在某種精度之使用要求情況下，可提供一個藉由軟體分析的方法，以達到砂輪磨耗自動補償之目標。

關鍵字

PC-Based控制 ； 類神經網路 ； 砂輪磨耗

並列摘要

This research makes use of the Real-Time Windows Target that MatLab/Simulink provides, to design the positioning control for multi-axes of a surface grinding machine. Modeling and control is developed and verified by experiment. Analysis of the wear of the grinding wheel is carried out, which attempts to find a method for automatic compensation. For saving the expensive measure sensor, a neural network method by means of numerous experimental grinding data is used to develop a predictive compensation model. The accuracy of the compensation model is verified acceptable for the predictive compensation value is approximate to the experiment. Hence, the proposed compensation model is allowed to provide a software tool that calculates the compensation value automatically within an acceptable accuracy requirement.

並列關鍵字

PC-based control ； neural network ； wear of grinding wheel

參考文獻

[7]李環安, “可程式控制器在自動化設備及研磨機之應用研究,” 私立中原大學機械工程研究所論文, 2001.

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[10]S. Malkin and S. Kannappan, “Effects of Grain Size and Operating Parameters on the Mechanics of Grinding”, Journal of Engineer for Industry, Trans ASME, Series B, Vol. 94, pp. 833-842, Aug. 1972.

[11]H. K. Toshoff, J. Peter, I. Inasaki, T. Paul, “Modelling and Simulation of Grinding”, Annals of the CIRP, Vol. 41/2, pp. 677-688, 1992.

[12]J. M. Lee, D. K. Choi, J. Kim, C.N. Chu, “Real-time Tool Breakage Monitoring for NC Milling Process, “CIRP Ann., Vol. 44, no. 1, pp. 59-62, 1995.