以灰色理論結合聲波訊號之微鑽孔孔徑及刀具壽命即時預測系統

陳峻宇

doi:10.6840/cycu201600737

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以灰色理论结合声波讯号之微钻孔孔径及刀具寿命即时预测系统

Development of a Real-time Micro Drilling Diameters and Tool Life Forecasting System Based on Grey Theory and Acoustic Signal

陈峻宇 , 硕士　　导师：黄博沧　　

繁体中文 DOI： 10.6840/cycu201600737

灰色预测；灰色生成；声波讯号；微型钻孔；线性趋势； Grey prediction ； Grey generation ； Acoustic signal ； Micro drilling ； Linear trend

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摘要 │ 参考文献 (47) │ 国际计量

摘要〈TOP〉

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As the consumer trends and the change of processing in recent years, production orientation of machining process has evolved from mass production to high quality, small-scale production; therefore, quality control and predict is becoming increasingly important. Various prediction methods such as tradition statistical forecasting, simulation modeling, regression analysis and soft computing, have been proposed to construct prediction systems in these years, and some studies even added contact force sensor, acoustic emission sensor and accelerometers to assist data collection and to increase accuracy. However, these prediction models need huge data and time to create, if processing parameters changed, it has to reboot system, which is unfavorable to high-precision machining and small-scale productions. Cutting fluid and chips are also have bad effect to contact sensors. Due to the inconvenience, in this research will implement an in-process micro drilling diameters and tool life forecasting system which integrate grey theory and non-contact acoustic sensor to correct and without the influence of the changed process setting.
　　The grey theory integrate acoustic signal in micro drilling diameters and tool life forecasting system proposed in this research is develop through grey theory and acoustic signal sensor, a method which emphasizes the input data trend and uses its small sample feature as the fundamental structure for building a real time prediction system. In this research using grey theory to forecasting cutting diameters and acoustic signal, then correction acoustic signal to diameters by linear interpolation. The grey and acoustic signal prediction system can quickly predict micro drilling diameters and tool’s operating life under specific processing settings without considering the type of tool and work part being used, the machining parameters and environment.
　　In order to prove the proposed method is both accurate and reliable, two different sets of machining parameters are used to perform micro drilling. First, an optical instrument is used to measure the diameter of the machined holes and acoustic signal sensor is used to measure the noise .Then using a small amount of the measured data are placed in the grey prediction system for the forecasting of hole sizes and tool life. Based on the information obtained, we can use hypothesis testing and (Mean Absolute Percentage Error , MAPE) test to determine a tool’s operating life and investigate its accuracy to verify the feasibility of the prediction system proposed in this research.

参考文献 ( 47 ) 〈TOP〉

Abu-Mahfouz, I. (2003). Drilling wear detection and classification using vibration signals and artificial neural network. International Journal of Machine Tools and Manufacture, 43(7), 707-720.
连结：
Ahilan, C., Kumanan, S., Sivakumaran, N., & Dhas, J. E. R. (2013). Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools. Applied Soft Computing, 13(3), 1543-1551.
连结：
Bhuiyan, M. S. H., Choudhury, I. A., Dahari, M., Nukman, Y., & Dawal, S. Z. (2016). Application of acoustic emission sensor to investigate the frequency of tool wear and plastic deformation in tool condition monitoring. Measurement, 92, 208-217.
连结：
Bustillo, A., & Correa, M. (2012). Using artificial intelligence to predict surface roughness in deep drilling of steel components. Journal of Intelligent Manufacturing, 23(5), 1893-1902.
连结：
Chen, M., Zhao, W.-S., & Xi, X.-C. (2015). Augmented Taylor's expansion method for B-spline curve interpolation for CNC machine tools. International Journal of Machine Tools and Manufacture, 94, 109-119.
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使用DOI作为永久连结

引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。