TIG Auto Welding Process Using Adaptive Wavelet Neural Network Controller
學年 103
學期 2
出版（發表）日期 2015-05-01
作品名稱 TIG Auto Welding Process Using Adaptive Wavelet Neural Network Controller
作品名稱（其他語言）
著者 Yen-Bin Chen; Yung-Lung Lee; Shou-Jen Hsu; Chin-Chun Chang; Yi-Wei Chen
單位
出版者
著錄名稱、卷期、頁數 Applied Mechanics and Materials 764-765, p. 634-639
摘要 The study proposed adaptive wavelet neural network controller can achieve good and precise welding control performance and use synchrotron radiation research center developed multi-gun group automatic welding system to verify the validity of the research method. Multi-gun group welding system is applied in Taiwan Photon Source (TPS). Storage ring aluminum alloy vacuum chamber of Taiwan Photon Source .In the past aluminum alloy vacuum chamber welding, it all depends on the empirical welding rule of operator to give appropriate welding current, argon flow, wire feed speed and welding speed for control. Therefore, the paper uses automatic welding skill, which takes National Instruments PXI-8180 system as basic structure, and adaptive wavelet neural network controlled four optimized parameters, I.E. welding current, wire feed speed, flow rate of argon gas and welding speed, The vacuum chamber pressure value is also up to 6.2X10-10Torr/mA. It is successfully applied to the TPS system. Therefore, it can prove the effectiveness and practicality of the method proposed in this study.
關鍵字
語言 en
ISSN 1662-7482
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度 否
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129899 )