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However, the data transmission bandwidth and sensor placement limitations in the physical systems may not allow us to collect the amount or the type of data that we wish. Recently, a physics-based compressive sensing (PBCS) approach was proposed to monitor manufacturing processes and obtain high-fidelity information with the reduced number of sensors by incorporating physical models of processes in compressed sensing. It can recover and reconstruct complete three-dimensional temperature distributions based on some limited measurements. In this paper, a constrained orthogonal matching pursuit algorithm is developed for PBCS, where coherence exists between the measurement matrix and the basis matrix. The efficiency of recovery is improved by introducing a boundary-domain reduction approach, which reduces the size of PBCS model matrices during the inverse operations. The improved PBCS method is demonstrated with the measurement of temperature distributions in the cooling and real-time printing processes of fused filament fabrication.<\/jats:p>","DOI":"10.1115\/1.4050377","type":"journal-article","created":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T13:35:26Z","timestamp":1614864926000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":25,"title":["Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes"],"prefix":"10.1115","volume":"21","author":[{"given":"Yanglong","family":"Lu","sequence":"first","affiliation":[{"name":"Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332"}]},{"given":"Eduard","family":"Shevtshenko","sequence":"additional","affiliation":[{"name":"Department of Mechanical and, Industrial Engineering, Tallinn University of Technology, Tallinn 19086, Estonia;"},{"name":"Institute of Logistics, TTK University of Applied Sciences, Tallinn 10135, Estonia"}]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332"}]}],"member":"33","published-online":{"date-parts":[[2021,3,25]]},"reference":[{"key":"2021051217444708700_CIT0001","volume-title":"Digital Twin Driven Smart Manufacturing","author":"Tao","year":"2019"},{"key":"2021051217444708700_CIT0002","first-page":"V02BT02A015","article-title":"Digital Twin for Smart Manufacturing: The Practitioner\u2019s Perspective","author":"Barring","year":"2020"},{"issue":"4","key":"2021051217444708700_CIT0003","doi-asserted-by":"crossref","first-page":"041019","DOI":"10.1115\/1.4043529","article-title":"Individualizing Locator Adjustments of Assembly Fixtures Using a Digital Twin","volume":"19","author":"Rezaei Aderiani","year":"2019","journal-title":"ASME J. 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