結合類神經網路、反應曲面法於田口實驗進行參數優化—以CNC鑽孔製程為例

Integration of Artificial Neural Networks and Response Surface Methodology with Taguchi Method for Parameters Optimization：Case Study in Drilling Process of CNC Machine

葉翊祥(Yi-Hsiang Yeh)

指導教授 ： 江瑞清

中原大學/電機資訊學院/工業與系統工程研究所/碩士(2018年)

https://doi.org/10.6840/cycu201800221

摘要

現今製造業以顧客製造需求為主，為符合其需求，製程需快速反應並提升生產品質，因此，本研究以工業4.0及大數據為研究背景，導入智慧製造的概念，於個案實例公司，進行加工製程優化，應用類神經網路系統篩選重要參數因子並以歷史數據訓練其網路，將分析結果導入田口品質工程改善流程並配合反應曲面法，以實際變動參數為10種，資料筆數為484筆，篩選其230筆進行訓練，以其餘資料進行網路模型驗證，以數據分析的觀點協助人員進行分析、找尋關鍵參數，降低工程經驗之依賴程度，本研究模型改善後得知其改善幅度達93.33%。

關鍵字

類神經網路 ； 田口方法 ； 反應曲面法 ； 最佳化 ； 鑽孔

並列摘要

Under Industrial 4.0 concept and the analysis of big data issues, to meet the customers demand and improve producing quality quickly is the major topic now. This study applies the real company manufacturing data adopting intelligent manufacturing concept integrates neural network system、Taguchi quality engineering improving process and response surface methodology to screening the critical parameters and training by the data. Using the 10 real varied parameters and 230 data selected is trained in the network. The other data is used to verify the model’s utility. In order to help process engineer analyze and search the critical factors for reducing the reliability of manufacturing experience as a point of view about data analysis. According to the result of this study, the improved scope achieves 93.33%.

並列關鍵字

Neural Network ； Taguchi Method ； Response Surface Methodology ； Optimize ； Drilling

參考文獻

參考文獻

英文參考文獻

Al-Refaie, A., Chen, T., Al-Athamneh, R., & Wu, H.-C. (2016). ”Fuzzy neural network approach to optimizing process performance by using multiple responses”, Journal of Ambient Intelligence and Humanized Computing, 7(6), 801-816.

Asiltürk, İ., & Neşeli, S. (2012). ”Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis”, Measurement, 45(4), 785-794.

Asiltürk, İ., Neşeli, S., & İnce, M. A. (2016). ”Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods”, Measurement, 78, 120-128.