Development of computational framework for titanium alloy phase transformation prediction in laser powder-bed fusion additive manufacturing

Zhi Liang*, Ivan Zhirnov, Fan Zhang, Kevontrez K. Jones, David Deisenroth, Maureen Williams, Ursula Kattner, Kil won Moon, Wing Kam Liu, Brandon Lane, Carelyn Campbell

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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 β→α 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.

Original languageEnglish (US)
Article number100934
JournalMaterialia
Volume14
DOIs
StatePublished - Dec 2020

Keywords

  • Additive manufacturing
  • CALPHAD
  • Computational fluid dynamics
  • Phase transformation prediction
  • Titanium alloys

ASJC Scopus subject areas

  • Materials Science(all)

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