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A robust design in hardfacing using a plasma transfer arc

dc.contributor.authorTu, Shu-Yien_US
dc.contributor.authorJean, Ming-Deren_US
dc.contributor.authorWang, Jen-Tingen_US
dc.contributor.authorWu, Chun-Senen_US
dc.date.accessioned2006-09-11T16:35:20Z
dc.date.available2006-09-11T16:35:20Z
dc.date.issued2006-02en_US
dc.identifier.citationTu, Shu-Yi; Jean, Ming-Der; Wang, Jen-Ting; Wu, Chun-Sen; (2006). "A robust design in hardfacing using a plasma transfer arc." The International Journal of Advanced Manufacturing Technology 27 (9-10): 889-896. <http://hdl.handle.net/2027.42/45888>en_US
dc.identifier.issn1433-3015en_US
dc.identifier.issn0268-3768en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45888
dc.description.abstractThis paper presents the use of the Taguchi-regression method in developing the optimal plasma transferred arc welding (PTAW) process for obtaining high hardfacing quality characteristics. An “optimal” process means that the best performance characteristic would be produced while the least number of process parameters are involved. In the experimental tests, the surface hardening process is conducted using Cobalt-based and Nickel-based powdery metal materials together with L 18 orthogonal arrays. The dependent variable, wear, obeys the-smaller-the-better quality characteristic, and the performance statistics, the signal-to-noise ratios (SNRs), are obtainable.en_US
dc.format.extent405005 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherPlasma Transfer Arc Welding (PTAW)en_US
dc.subject.otherHardfacingen_US
dc.subject.otherProduction/Logisticsen_US
dc.subject.otherComputer-Aided Engineering (CAD, CAE) and Designen_US
dc.subject.otherEngineeringen_US
dc.subject.otherMechanical Engineeringen_US
dc.subject.otherIndustrial and Production Engineeringen_US
dc.subject.otherMultiple Linear Regressionen_US
dc.subject.otherTaguchi Methodsen_US
dc.titleA robust design in hardfacing using a plasma transfer arcen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelInformation and Library Scienceen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mathematics, University of Michigan at Flint, Flint, MI, 48502, USAen_US
dc.contributor.affiliationotherDepartment of Mathematics, Computer Science, and Statistics, State University of New York College at Oneonta, USAen_US
dc.contributor.affiliationotherWelding Technology Section, Metal Industries Research & Development Centre, Kaohsiung, Taiwanen_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, Yung-Ta Institute of Technology & Commerce, 316 Chunshan Rd, Lin-Lo, Ping-Tung, Taiwan, 909en_US
dc.contributor.affiliationumcampusFlinten_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45888/1/170_2004_Article_2265.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00170-004-2265-6en_US
dc.identifier.sourceThe International Journal of Advanced Manufacturing Technologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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