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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorZhang, Yin-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/6915-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleSimulation-enabled prediction of metal-formed product defect and defect avoidanceen_US
dcterms.abstractThe product quality is a critical issue in the metal forming industry. Although many investigations have been conducted regarding the prediction of metal forming product defect and avoidance in macro scale, similar researches have barely been done in the micro scaled and few comparisons have been made between them. In this study, the axisymmetrical flanged components with four types of parameters are fabricated by extruding process both in macro and micro scale. The flow-induced folding defect formation mechanism is revealed by finite element (FEM) simulation and verified by the cold extrusion experiment. It is found that when the dimensions are scaled down, the metal flow behavior is influenced by the grains greater and the type of the defects changes as well. Also, the formation of the defect is very sensitive to the configuration of the components. By changing the tooling geometry, the defects can be avoided both in macro scale and micro scale. These metal flow behavior difference and the sensitivity of dimensions for the formation of the defect between the macro and micro scaled products provide useful guidelines for the investigation of size effect and the design of defect-free micro scaled metal formed product in the process design.en_US
dcterms.extentix, 123 leaves : ill. (chiefly col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2013en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHMetal-work -- Simulation methods.en_US
dcterms.LCSHMetal-work -- Quality control.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/6915