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Development of computational framework for titanium alloy phase transformation prediction in laser powder-bed fusion additive manufacturing
NIST, Materials Science and Engineering Division, USA.ORCID iD: 0000-0003-1041-8606
NIST, Sensor Science Division, USA.
NIST, Materials Measurement Science Division, USA.
Northwestern University, USA.ORCID iD: 0000-0002-9653-3498
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2020 (English)In: Materialia, E-ISSN 2589-1529, Vol. 14, article id 100934Article in journal (Refereed) Published
Abstract [en]

In conjunction with bare metal single laser track validation experiments, a computational framework is proposed to accelerate the design and development of new additive manufacturing (AM) specific alloys. Specifically, Additive Manufacturing-Computational Fluid Dynamics (AM-CFD) and Calculation of Phase Diagram (CALPHAD), were combined to predict location-specific beta ->alpha phase transformation for a new Ti-Al-Fe-alloy. This modeling work was validated by rigorous spatially resolved synchrotron-based X-ray diffraction measurements. This framework reasonably predicts the melt pool and heat affected zone features in the experiment and reveals their significance in actual AM conditions. This framework can be applied for rapid and comprehensive evaluation of location-specific thermal history, phase, microstructure, and properties for new AM titanium alloy development.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 14, article id 100934
National Category
Manufacturing, Surface and Joining Technology
Research subject
Materials Science
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URN: urn:nbn:se:kau:diva-87778DOI: 10.1016/j.mtla.2020.100934ISI: 000598847500005OAI: oai:DiVA.org:kau-87778DiVA, id: diva2:1618873
Available from: 2021-12-10 Created: 2021-12-10 Last updated: 2025-10-16Bibliographically approved

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Zhirnov, Ivan

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