灰模糊微鑽孔孔徑預測之研究

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doi:10.6840/cycu201700779

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灰模糊微钻孔孔径预测之研究

A Study of Grey-fuzzy Dimension Predection in a Micro-Drilling Operation

颜经哲 , 硕士　　导师：黄博沧　　

繁体中文 DOI： 10.6840/cycu201700779

灰色预测；感测器讯号；田口方法；模糊规则库；微型钻孔； Grey prediction ； Sensor signal ； Taguchi method ； Fuzzy rule bank ； Micro-drilling

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摘要 │ 参考文献 (52) │ 国际计量

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Through the improvement of technology, quality of process and forecast becomes more and more important and the way to process has change from mass production to high quality production. Many scholars propose a lot of method in process quality forecast, like simulation modeling, tradition statistical forecasting, regression analysis, soft computing and with the use of sensor modeling forecast system, these gives good affects. However, if the process setup changes, it needs a lot of data and time to build system, this make it difficult for the process to run smoothly. In this research, through the use of fuzzy theory, sensor signal and gray theory, hope to use less data in building Fuzzy rule bank for correcting grey prediction value and build a real-time forecast system which will not be effected by process parameters through Micro-drilling.
The forecast system we develop uses Grey prediction which base on using few data to build a system moreover, improve the way how Fuzzy rule bank built with Fuzzy theory, decrease the need of Expert experience and complex level. Through the use of sensor signal and Grey Prediction Residual value, build Fuzzy rule bank which can correct the Residual value in a short time for real-time modeling for more accurate process Drilling Diameters, moreover, determine the tool life with the accuracy Drilling Diameters forecast.
To verify the accuracy and feasible, we use two different process parameters with Micro-drilling, through the use of Optical electron microscopy and Non-contact sensor, use few Drilling Diameters value into grey prediction system to build Fuzzy rule bank and correct the Drilling Diameters Residual value. The two drilling forecast value are more accurate than the original forecast, tool life has been re-differentiate and the average accuracy raises from 89.54% to 98.58% which verify the accuracy and feasible that we proposed.

参考文献 ( 52 ) 〈TOP〉

Abbasi, F., Mojtahedi, A., & Ettefagh, M. M. (2015). Fault diagnosis using noise modeling and a new artificial immune system based algorithm. Earthquake Engineering and Engineering Vibration, 14(4), 725-741.
连结：
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：
Ahmed, F., Capretz, L. F., & Samarabandu, J. (2008). Fuzzy inference system for software product family process evaluation. Information Sciences, 178(13), 2780-2793.
连结：
Ahmed, M. A., Saliu, M. O., & AlGhamdi, J. (2005). Adaptive fuzzy logic-based framework for software development effort prediction. Information and Software Technology, 47(1), 31-48.
连结：
Albarbar, A., Mekid, S., Starr, A., & Pietruszkiewicz, R. (2008). Suitability of MEMS accelerometers for condition monitoring: An experimental study. Sensors, 8(2), 784-799.
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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（）。