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These solutions must, therefore, be enriched from their exact form in order to capture the relevant thermal physics associated with AM processes. Such enrichments include the handling of strong nonlinear variations in material properties, finite nonconvex solution domains, behavior of heat sources very near boundaries, and mass accretion coupled to the thermal problem. The enriched analytic solution method (EASM) is shown to produce results equivalent to those of numerical methods, which require six orders of magnitude greater computational effort. It is also shown that the EASM's computational performance is sufficient to enable AM process feedback control.<\/jats:p>","DOI":"10.1115\/1.4042105","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T14:30:26Z","timestamp":1543415426000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":7,"title":["Toward Feedback Control for Additive Manufacturing Processes Via Enriched Analytical Solutions"],"prefix":"10.1115","volume":"19","author":[{"given":"John C.","family":"Steuben","sequence":"first","affiliation":[{"name":"Mem. ASME U.S. Naval Research Laboratory, Computational Multiphysics Systems Laboratory, Center of Materials Physics and Technology, Washington, DC 20375"}]},{"given":"Andrew J.","family":"Birnbaum","sequence":"additional","affiliation":[{"name":"Mem. 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