Published November 2017 | Version v1
Journal article

Localized melt-scan strategy for site specific control of grain size and primary dendrite arm spacing in electron beam additive manufacturing

  • 1. The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee-Knoxville, TN 37996 (United States)
  • 2. Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)
  • 3. Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)
  • 4. Manufacturing Demonstration Facility, Oak Ridge National Laboratory, Knoxville, TN 37932 (United States)
  • 5. Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee-Knoxville, Knoxville, TN 37996 (United States)

Description

In addition to design geometry, surface roughness, and solid-state phase transformation, solidification microstructure plays a crucial role in controlling the performance of additively manufactured components. Crystallographic texture, primary dendrite arm spacing (PDAS), and grain size are directly correlated to local solidification conditions. We have developed a new melt-scan strategy for inducing site specific, on-demand control of solidification microstructure. We were able to induce variations in grain size (30 μm–150 μm) and PDAS (4 μm - 10 μm) in Inconel 718 parts produced by the electron beam additive manufacturing system (Arcam®). A conventional raster melt-scan resulted in a grain size of about 600 μm. The observed variations in grain size with different melt-scan strategies are rationalized using a numerical thermal and solidification model which accounts for the transient curvature of the melt pool and associated thermal gradients and liquid-solid interface velocities. The refinement in grain size at high cooling rates (>104 K/s) is also attributed to the potential heterogeneous nucleation of grains ahead of the epitaxially growing solidification front. The variation in PDAS is rationalized using a coupled numerical-theoretical model as a function of local solidification conditions (thermal gradient and liquid-solid interface velocity) of the melt pool.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.actamat.2017.08.038

Additional details

Identifiers

DOI
10.1016/j.actamat.2017.08.038;
PII
S1359-6454(17)30693-6;

Publishing Information

Journal Title
Acta Materialia
Journal Volume
140
Journal Issue
Complete
Journal Page Range
p. 375-387
ISSN
1359-6454
CODEN
ACMAFD

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.