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PUBLICATIONS

A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations

Published

Author(s)

Tesfaye M. Moges, Gaurav Ameta, Paul W. Witherell

Abstract

This paper presents a comprehensive review on the sources of model and parameter uncertainties in laser powder bed fusion processes (L-PBF). Metal additive manufacturing (AM) involves multiple physical phenomena and parameters that potentially affect the quality of the final part. To capture the dynamics and complexity of heat and phase transformations that exist in the AM process, computational models and simulations ranging from low to high-fidelity have been developed. Since it is difficult to incorporate all the physical phenomena encountered in the AM process, computational models rely on assumptions that may neglect or simplify some physics of the process. Modeling uncertainty plays a significant role in the predictive accuracy of such AM models. In this study, sources of modeling uncertainty at different stages of the process from powder bed formation to melting and solidification are reviewed. The sources of uncertainty related to material properties and process parameters are also reviewed. The aim of this review is to support the development of an approach to quantify these sources of uncertainty in AM models in the future. The quantification of uncertainty sources is necessary for understanding the tradeoffs in model fidelity and guiding the selection of a model suitable for its intended purpose.
Citation
ASME Journal of Manufacturing Science and Engineering
Pub Type
Journals

Download Paper

https://doi.org/10.1115/1.4042789

Keywords

Additive manufacturing, powder bed fusion, model uncertainty, parameter uncertainty, uncertainty quantification
Additive manufacturing

Citation

Moges, T. , Ameta, G. and Witherell, P. (2019), A Review of Model Inaccuracy and Parameter Uncertainty in Laser Powder Bed Fusion Models and Simulations, ASME Journal of Manufacturing Science and Engineering, [online], https://doi.org/10.1115/1.4042789 (Accessed April 24, 2024)

Created February 15, 2019, Updated March 5, 2019