Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Matthew R. Rolchigo; Michael Y. Mendoza; Peyman Samimi; David A. Brice; Brian Martin; Peter C. Collins; Richard LeSar

doi:10.1007/s11661-017-4120-z

Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

Matthew R. Rolchigo, Michael Y. Mendoza, Peyman Samimi, David A. Brice, Brian Martin, Peter C. Collins, Richard LeSar

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

Abstract

Additive manufacturing (AM) processes have many benefits for the fabrication of alloy parts, including the potential for greater microstructural control and targeted properties than traditional metallurgy processes. To accelerate utilization of this process to produce such parts, an effective computational modeling approach to identify the relationships between material and process parameters, microstructure, and part properties is essential. Development of such a model requires accounting for the many factors in play during this process, including laser absorption, material addition and melting, fluid flow, various modes of heat transport, and solidification. In this paper, we start with a more modest goal, to create a multiscale model for a specific AM process, Laser Engineered Net Shaping (LENS™), which couples a continuum-level description of a simplified beam melting problem (coupling heat absorption, heat transport, and fluid flow) with a Lattice Boltzmann-cellular automata (LB-CA) microscale model of combined fluid flow, solute transport, and solidification. We apply this model to a binary Ti-5.5 wt pct W alloy and compare calculated quantities, such as dendrite arm spacing, with experimental results reported in a companion paper.

Original language	English
Pages (from-to)	3606-3622
Number of pages	17
Journal	Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
Volume	48
Issue number	7
DOIs	https://doi.org/10.1007/s11661-017-4120-z
State	Published - Jul 1 2017
Externally published	Yes

Funding

The authors gratefully acknowledge the support of the National Science Foundation (DMREF-1435872), in which an MGI strategy is adopted. The authors also acknowledge the engagement of industrial partners through the Center for Advanced Non-Ferrous Structural Alloys (CANFSA), an NSF Industry/University Cooperative Research Center (I/UCRC) between Iowa State University and the Colorado School of Mines. This article is intended to appear as one of two companion articles. This article focuses on the simulation of solidification associated with additive manufacturing and the companion article by Mendoza, Samimi, Brice, Martin, Rolchigo, LeSar, and Collins considers experimental methods associated with additive manufacturing of Ti-W specimens.

Funders	Funder number
NSF Industry/University Cooperative Research Center
National Science Foundation	DMREF-1435872, 1624748
Colorado School of Mines
Iowa State University

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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abstract = "Additive manufacturing (AM) processes have many benefits for the fabrication of alloy parts, including the potential for greater microstructural control and targeted properties than traditional metallurgy processes. To accelerate utilization of this process to produce such parts, an effective computational modeling approach to identify the relationships between material and process parameters, microstructure, and part properties is essential. Development of such a model requires accounting for the many factors in play during this process, including laser absorption, material addition and melting, fluid flow, various modes of heat transport, and solidification. In this paper, we start with a more modest goal, to create a multiscale model for a specific AM process, Laser Engineered Net Shaping (LENS{\texttrademark}), which couples a continuum-level description of a simplified beam melting problem (coupling heat absorption, heat transport, and fluid flow) with a Lattice Boltzmann-cellular automata (LB-CA) microscale model of combined fluid flow, solute transport, and solidification. We apply this model to a binary Ti-5.5 wt pct W alloy and compare calculated quantities, such as dendrite arm spacing, with experimental results reported in a companion paper.",

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Modeling of Ti-W Solidification Microstructures Under Additive Manufacturing Conditions

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UN SDGs

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