Hierarchical Modeling of Microstructural Images for Porosity Prediction in Metal Additive Manufacturing via Two-point Correlation Function

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dc.contributor.authorGao, Yuanyuanen
dc.contributor.authorWang, Xinmingen
dc.contributor.authorSon, Junboen
dc.contributor.authorYue, Xiaoweien
dc.contributor.authorWu, Jianguoen
dc.date.accessioned2023-02-06T13:41:47Zen
dc.date.available2023-02-06T13:41:47Zen
dc.date.issued2022-08en
dc.date.updated2023-02-05T03:35:55Zen
dc.description.abstractPorosity is one of the most critical quality issues in Additive Manufacturing (AM). As process parameters are closely related to porosity formation, it is vitally important to study their relationship for better process optimization. In this article, motivated by the emerging application of metal AM, a three-level hierarchical mixed-effects modeling approach is proposed to characterize the relationship between microstructural images and process parameters for porosity prediction and microstructure reconstruction. Specifically, a Two-Point Correlation Function (TPCF) is used to capture the morphology of the pores quantitatively. Then, the relationship between the TPCF profile and process parameters is established. A blocked Gibbs sampling approach is developed for parameter inference. Our modeling framework can reconstruct the microstructure based on the predicted TPCF through a simulated annealing optimization algorithm. The effectiveness and advantageous features of our method are demonstrated by both the simulation study and the case study with real-world data from metal AM applications.en
dc.description.versionAccepted versionen
dc.format.extentPages 1-13en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1080/24725854.2022.2115593en
dc.identifier.eissn2472-5862en
dc.identifier.issn2472-5854en
dc.identifier.orcidYue, Xiaowei [0000-0001-6019-0940]en
dc.identifier.urihttp://hdl.handle.net/10919/113676en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleHierarchical Modeling of Microstructural Images for Porosity Prediction in Metal Additive Manufacturing via Two-point Correlation Functionen
dc.title.serialIISE Transactionsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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