Development of Computational Framework for Titanium Alloy Phase Transformation Prediction in Laser Powder-bed Direct Energy Additive Manufacturing

Published

October 16, 2020

Author(s)

Zhi Liang, Ivan Zhirnov, Fan Zhang, Kevontrez K. Jones, David C. Deisenroth, Maureen E. Williams, Ursula R. Kattner, Kil-Won Moon, Wing-Kam Liu, Brandon M. Lane, Carelyn E. Campbell

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-based titanium. This modelling 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.

Citation

Acta Materialia

Pub Type

Journals

Keywords

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

Modeling and computational material science, Metals and Additive manufacturing

Citation

Liang, Z. , Zhirnov, I. , Zhang, F. , Jones, K. , Deisenroth, D. , Williams, M. , Kattner, U. , Moon, K. , Liu, W. , Lane, B. and Campbell, C. (2020), Development of Computational Framework for Titanium Alloy Phase Transformation Prediction in Laser Powder-bed Direct Energy Additive Manufacturing, Acta Materialia (Accessed May 19, 2022)