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Thermo-mechanical Investigation of Fused Deposition Modeling by Computational and Experimental Methods

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Mechanics of Composite and Multi-functional Materials, Volume 7

Abstract

Real-time thermo-mechanical process monitoring backed with numerical predictions in additive manufacturing (AM) can help understand relevant fundamental mechanics and the interaction between thermal, mechanical, and material relationships in order to design and produce components with consistent quality and performance. Process monitoring imposes technical challenges while the development of accurate models is hindered by complex phenomena comprising multiple domains and boundary conditions. In this paper, we present the results of our efforts in modeling rapid prototyping processes by Fused Deposition Modeling (FDM). A transient enthalpy formulation with moving boundary conditions is developed to predict temperature profiles and heat flow during layer-by-layer (LBL) deposition and the calculated results compared with in-situ experimental measurements obtained with an IR camera to validate the solution and calibrate the modeling parameters. The outcome is a reliable computational model, which will be expanded to predict the interaction of heat flow and temperature with mechanical properties, phase transformation, and part performance.

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Acknowledgments

This work has been partially supported by the NSF, award CMMI-1428921. The authors would like to gratefully acknowledge the support of the Mechanical Engineering Department of Worcester Polytechnic Institute (WPI) and the contributions by members of the CHSLT.

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Correspondence to Koohyar Pooladvand .

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Pooladvand, K., Furlong, C. (2017). Thermo-mechanical Investigation of Fused Deposition Modeling by Computational and Experimental Methods. In: Ralph, W., Singh, R., Tandon, G., Thakre, P., Zavattieri, P., Zhu, Y. (eds) Mechanics of Composite and Multi-functional Materials, Volume 7 . Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-41766-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-41766-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41765-3

  • Online ISBN: 978-3-319-41766-0

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