Metal AMS
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7 - Process Modelling and Uncertainty Quantification in Laser-based Powder Bed Fusion of Metals

Abstract

Laser-based Powder Bed Fusion of Metals (PBF-LB/M) is an additive manufacturing technology suitable for producing metal components with complex geometries and remarkable mechanical performances. The geometrical complexity of parts produced using PBF-LB/M technology calls for flexible numerical approaches. Therefore, immersed boundary methods seem to offer a valid alternative to the traditional mesh-conforming Finite Element Method. In the present contribution, we present a high-fidelity thermal model implemented in an immersed boundary setting. Such a model is first validated with respect to experimental measurements obtained by means of a high-speed thermal camera and then applied to investigate the influence of material discontinuities on melt pool morphologies. Besides the geometrical complexity of PBF-LB/M parts, other sources of uncertainty hinder a full understanding of the complex process-structure-property relationships. An effective approach to address the above issue is to adopt rigorous Uncertainty Quantification techniques to study the propagation of uncertainties. Multi-Index Stochastic Collocation (MISC) approach allows us to construct a multi-fidelity surrogate model for part-scale thermomechanical analysis of a PBF-LB/M process. In the present work, we take advantage of the computational efficiency of the MISC method to construct a multi-fidelity surrogate model able to quantify and calibrate uncertainties of the adopted numerical model.

Speaker

University of Pavia, Pavia, Italy

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Conference

7 - Process Modelling and Uncertainty Quantification in Laser-based Powder Bed Fusion of Metals

Date/Time

20/03/2024

10:00 am -10:30 am

Location

Room 6