In-Situ Layer-Wise Quality Monitoring for Laser-Based Additive Manufacturing Using Image Series Analysis

dc.creatorEsfahani, Mehrnaz Noroozi
dc.creatorBian, Linkan
dc.creatorTian, Wenmeng
dc.date.accessioned2021-11-16T16:15:04Z
dc.date.available2021-11-16T16:15:04Z
dc.date.issued2019
dc.description.abstractQuality assurance has been one of the major challenges in laser-based additive manufacturing (AM) processes. This study proposes a novel process modeling methodology for layer-wise in-situ quality monitoring based on image series analysis. An image-based autoregressive (AR) model has been proposed based on the image registration function between consecutively observed thermal images. Image registration is used to extract melt pool location and orientation change between consecutive images, which contains sensing stability information. Subsequently, a Gaussian process model is used to characterize the spatial correlation within the error matrix. Finally, the extracted features from the aforementioned processes are jointly used for layer-wise quality monitoring. A case study of a thin wall fabrication by a Directed Laser Deposition (DLD) process is used to demonstrate the effectiveness of the proposed methodology.en_US
dc.description.departmentMechanical Engineeringen_US
dc.identifier.urihttps://hdl.handle.net/2152/90330
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/17251
dc.language.isoengen_US
dc.publisherUniversity of Texas at Austinen_US
dc.relation.ispartof2019 International Solid Freeform Fabrication Symposiumen_US
dc.rights.restrictionOpenen_US
dc.subjectimage series analysisen_US
dc.subjectquality monitoringen_US
dc.subjectin-situen_US
dc.subjectlayer-wiseen_US
dc.subjectlaser-based additive manufacturingen_US
dc.titleIn-Situ Layer-Wise Quality Monitoring for Laser-Based Additive Manufacturing Using Image Series Analysisen_US
dc.typeConference paperen_US
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