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Predictive modeling capabilities from incident powder and laser to mechanical properties for laser directed energy deposition

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Abstract

This paper presents an overview of vertically integrated comprehensive predictive modeling capabilities for directed energy deposition processes, which have been developed at Purdue University. The overall predictive models consist of vertically integrated several modules, including powder flow model, molten pool model, microstructure prediction model and residual stress model, which can be used for predicting mechanical properties of additively manufactured parts by directed energy deposition processes with blown powder as well as other additive manufacturing processes. Critical governing equations of each model and how various modules are connected are illustrated. Various illustrative results along with corresponding experimental validation results are presented to illustrate the capabilities and fidelity of the models. The good correlations with experimental results prove the integrated models can be used to design the metal additive manufacturing processes and predict the resultant microstructure and mechanical properties.

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Acknowledgements

The research presented in this paper has been funded by National Science Foundation (Grant Nos: IIP-0538756, IIP-0917936, CMMI-1233783), State of Indiana through the 21st Century R&T Fund, and Industrial Consortium members of the Center for Laser-based Manufacturing.

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Author notes

  1. Wenda Tan

    Present address: Department of Mechanical Engineering, The University of Utah, Salt Lake City, UT, 84132, USA

Authors and Affiliations

  1. School of Mechanical Engineering, Center for Laser-Based Manufacturing, Purdue University, West Lafayette, IN, 47907, USA

    Yung C. Shin, Neil Bailey, Christopher Katinas & Wenda Tan

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  1. Yung C. Shin
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  2. Neil Bailey
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  3. Christopher Katinas
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Correspondence to Yung C. Shin.

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Shin, Y.C., Bailey, N., Katinas, C. et al. Predictive modeling capabilities from incident powder and laser to mechanical properties for laser directed energy deposition. Comput Mech 61, 617–636 (2018). https://doi.org/10.1007/s00466-018-1545-1

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  • DOI: https://doi.org/10.1007/s00466-018-1545-1

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