Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106726
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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorSun, CYen_US
dc.creatorCong, YPen_US
dc.creatorZhang, QDen_US
dc.creatorFu, MWen_US
dc.creatorLi, Len_US
dc.date.accessioned2024-06-03T02:24:02Z-
dc.date.available2024-06-03T02:24:02Z-
dc.identifier.issn0924-0136en_US
dc.identifier.urihttp://hdl.handle.net/10397/106726-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2017 Elsevier B.V. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Sun, C. Y., Cong, Y. P., Zhang, Q. D., Fu, M. W., & Li, L. (2018). Element diffusion model with variable coefficient in bimetallic bonding process. Journal of Materials Processing Technology, 253, 99-108 is available at https://doi.org/10.1016/j.jmatprotec.2017.10.045.en_US
dc.subjectBimetallic materialsen_US
dc.subjectBondingen_US
dc.subjectDiffusion modelen_US
dc.subjectElement diffusionen_US
dc.subjectTransition zoneen_US
dc.titleElement diffusion model with variable coefficient in bimetallic bonding processen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage99en_US
dc.identifier.epage108en_US
dc.identifier.volume253en_US
dc.identifier.doi10.1016/j.jmatprotec.2017.10.045en_US
dcterms.abstractThe bimetallic bonding mechanisms including macroscopic deformation, microstructure evolution and element diffusion were investigated by using bimetallic hot compression tests of X65/316L. An element concentration diffusion model with a variable coefficient was proposed to determine the element concentration in the metallurgical bonding transition zone (MBTZ). Diffusion distance, strain, deformation temperature and holding time were taken into account in the model. A finite element model of the clad pipes hot extrusion process to investigate the element diffusion behavior in the MBTZ was developed by the proposed diffusion model. The concentration predicted by the proposed model have a good agreement with the experimental results and the proposed model is more accurate than the reference model.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of materials processing technology, Mar. 2018, v. 253, p. 99-108en_US
dcterms.isPartOfJournal of materials processing technologyen_US
dcterms.issued2018-03-
dc.identifier.scopus2-s2.0-85032986752-
dc.identifier.eissn1873-4774en_US
dc.description.validate202405 bcwhen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberME-0682-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; NSAF; 'High-end CNC Machine Tool and Basic Manufacturing Equipment' Science and Technology Major Special Project of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6795550-
dc.description.oaCategoryGreen (AAM)en_US
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