Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Hsuan-Liang | en_US |
dc.contributor.author | Chou, Chang-Pin | en_US |
dc.contributor.author | Chen, Ming-Song | en_US |
dc.date.accessioned | 2017-04-21T06:48:54Z | - |
dc.date.available | 2017-04-21T06:48:54Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.issn | 0255-5476 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/135644 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | GTAW | en_US |
dc.subject | activating flux | en_US |
dc.subject | 310 stainless steel | en_US |
dc.subject | Taguchi method | en_US |
dc.subject | neural networks | en_US |
dc.title | Selection of the GTAW-flux process parameters on type 310 stainless steel via a Taguchi-Neural approach | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | ADVANCED WELDING AND MICRO JOINING / PACKAGING FOR THE 21ST CENTURY | en_US |
dc.citation.volume | 580-582 | en_US |
dc.citation.spage | 347 | en_US |
dc.citation.epage | + | en_US |
dc.contributor.department | 機械工程學系 | zh_TW |
dc.contributor.department | Department of Mechanical Engineering | en_US |
dc.identifier.wosnumber | WOS:000258372000082 | en_US |
dc.citation.woscount | 1 | en_US |
Appears in Collections: | Conferences Paper |