標題: Selection of the GTAW-flux process parameters on type 310 stainless steel via a Taguchi-Neural approach
作者: Lin, Hsuan-Liang
Chou, Chang-Pin
Chen, Ming-Song
機械工程學系
Department of Mechanical Engineering
關鍵字: GTAW;activating flux;310 stainless steel;Taguchi method;neural networks
公開日期: 2008
摘要: In order to achieve single pass welds without edge preparation, instead of multipass procedures, one of the most notable techniques is to use activating flux with GTA welding (GTAW-flux) process. In autogenous GTA welding mixed fluxes (oxide SiO2 and Cr2O3), were applied oil the weld area of type 3 10 stainless steel through a layer of the flux to produce a bead-on-plate weld. Many parameters affect the GTAW-flux process quality. The Taguchi method can improve oil the disadvantages of full factorial design. However, in practice, it has certain limitations. In this work, a Taguchi-Neural approach (Combine Taguchi method and a neural network) was used to select the GTAW-flux process parameters. The experimental procedure of GTAW-flux process, via the proposed approach produced full penetration of the weld root in 8 mm thick type 3 10 stainless steel with single pass welds.
URI: http://hdl.handle.net/11536/135644
ISSN: 0255-5476
期刊: ADVANCED WELDING AND MICRO JOINING / PACKAGING FOR THE 21ST CENTURY
Volume: 580-582
起始頁: 347
結束頁: +
顯示於類別:會議論文