Modeling of additive manufacturing processes for metals: Challenges and opportunities

M. M. Francois, A. Sun, W. E. King, N. J. Henson, D. Tourret, C. A. Bronkhorst, N. N. Carlson, C. K. Newman, T. Haut, J. Bakosi, J. W. Gibbs, V. Livescu, S. A. Vander Wiel, A. J. Clarke, M. W. Schraad, T. Blacker, H. Lim, T. Rodgers, S. Owen, F. AbdeljawadJ. Madison, A. T. Anderson, J. L. Fattebert, R. M. Ferencz, N. E. Hodge, S. A. Khairallah, O. Walton

Research output: Contribution to journalReview articlepeer-review

377 Scopus citations

Abstract

Researchers review the challenges and opportunities that we are facing in the modeling and simulation of additive manufacturing processes for metals and the predictive representation of their mechanical performance at the different scales. They highlight the current modeling efforts taking place at the US Department of Energy National Nuclear Security Administration (NNSA) Laboratories, such as process modeling, microstructure modeling, properties modeling, performance and topology and process optimization. All these various modeling developments at different scales and regimes are necessary to move toward an integrated computational approach of process-structure-properties-performance that will ultimately enable the engineering and optimization of materials to specific performance requirements. Truchas, a continuum thermo-mechanical modeling tool originally designed for the simulation of casting processes, is being extended to simulate directed energy deposition additive manufacturing processes.

Original languageEnglish
Pages (from-to)198-206
Number of pages9
JournalCurrent Opinion in Solid State and Materials Science
Volume21
Issue number4
DOIs
StatePublished - Aug 2017
Externally publishedYes

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