Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114078
DC FieldValueLanguage
dc.contributorDepartment of Mechanical Engineering-
dc.creatorTang, X-
dc.creatorHe, C-
dc.creatorWang, X-
dc.creatorHu, F-
dc.creatorDeng, L-
dc.creatorXie, J-
dc.creatorFu, MW-
dc.date.accessioned2025-07-11T09:11:26Z-
dc.date.available2025-07-11T09:11:26Z-
dc.identifier.issn0924-0136-
dc.identifier.urihttp://hdl.handle.net/10397/114078-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectAcoustic emissionen_US
dc.subjectAutoencoderen_US
dc.subjectDamage modeen_US
dc.subjectIntelligent defect detectionen_US
dc.subjectMetal matrix compositesen_US
dc.subjectUnsupervised clusteringen_US
dc.titleA novel online sensing approach for monitoring micro-defect and damage mode during the plastic deformation of metal matrix composites : experiment and crystal plasticity analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume338-
dc.identifier.doi10.1016/j.jmatprotec.2025.118788-
dcterms.abstractOnline monitoring of defect evolution during metal forming is crucial for achieving closed-loop control of product quality. The incorporation of reinforcement phases in metal matrix composites (MMCs) results in changes to micro-defect evolution and damage modes, thereby rendering the online monitoring of defect evolution more complex and challenging. Here, the authors proposed a novel intelligent sensing approach that can not only detect the formation of micro-defect but also identify the damage mode during plastic deformation of MMCs. By leveraging anomaly detection with an autoencoder to analyze the power spectral density (PSD) of acoustic emission (AE) signals collected during plastic deformation, the signals from the TC4 matrix and TiB reinforcement in a discontinuously reinforced titanium matrix composite (DRTMC) can be distinguished. Based on the intelligent sensing framework, it was found for the first time that the evolution of the TiB signals PSD correlates with defect evolution, and TiB fractures occur during the early to mid-stages of plastic deformation. It further utilizes autoencoders in conjunction with unsupervised clustering to associate the AE signals from TiB with two distinct damage modes: fracture of TiB whiskers and microcrack penetrating the matrix. The effects of stress state on the formation of defect and damage mode were also recognized by the developed approach. The effects of TiB content and stress state on the grain-level deformation behavior and damage evolution mechanism during plastic deformation of DRTMC were analyzed by full-field crystal plasticity simulation with uncoupled damage model. A TiB content of 3 % in TiB/TC4 enhances matrix slip and improves plastic deformation capability. However, under shear deformation, TiB's load-bearing contribution is minimal. High stress triaxiality from a notch causes TiB-induced cracks to penetrate the matrix at lower strains, leading to failure. This study provides a promising method for the online monitoring of defect evolution during the plastic forming and service processes of MMCs.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationJournal of materials processing technology, Apr. 2025, v. 338, 118788-
dcterms.isPartOfJournal of materials processing technology-
dcterms.issued2025-04-
dc.identifier.scopus2-s2.0-85218901868-
dc.identifier.eissn1873-4774-
dc.identifier.artn118788-
dc.description.validate202507 bcch-
dc.identifier.FolderNumbera3852ben_US
dc.identifier.SubFormID51420en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.fundingTextNational Key Research and Development Programen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-04-30
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