| Auteur | Rechercher : Molavi-Zarandi, Marjan1; Rechercher : Mohammadtheri, Hossein; Rechercher : Sedaghati, Ramin |
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| Affiliation | - Conseil national de recherches du Canada. Automobile et les transports de surface
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| Format | Texte, Allocution |
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| Conférence | HI-AM 2023, June 27-28, 2023, Halifax, NS |
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| Sujet | metal additive manufacturing; laser powder bed fusion; modified inherent strain method; Inconel-718; material constitutive models |
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| Résumé | In the Laser Powder Bed Fusion (LPBF) process, fast solidification of molten powders and significant temperature gradients cause substantial residual stresses in the build part. This can result in excessive deformation and potential crack initiation and propagation. High-fidelity thermo-mechanical models to predict the residual stresses/distortion in the macro-scale are generally impractical owing to their high level of computational time. The modified inherent strain methodology has recently shown its capability as a viable alternative to capture an accurate and efficient prediction of residual stresses. In this study, a multi-scale finite element-based model of the LPBF process is developed to estimate the accumulated stress. The stress formation and inherent strain values were calculated in a micro-scale two-layer deposition considering the effect of real process parameters in Abaqus/standard. The material constitutive models and their effect on the evolution of plastic strain were examined. The accuracy of the prediction was investigated by the number of equivalent layers using the agglomeration method and the elements activation strategy at each time step in the part-scale analysis. The proposed framework provided the residual stresses and deformation prediction which reasonably agreed with the experimental measurement using the X-ray diffraction and optical scanning of the part-scale cubes and cantilever beams. |
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| Date de publication | 2023-06-27 |
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| Maison d’édition | The Conference |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Non |
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| Numéro du CNRC | NRC-AST-2022-2023-42 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 3f3e0c90-026c-49bb-a311-fbe55936aede |
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| Enregistrement créé | 2023-08-28 |
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| Enregistrement modifié | 2023-08-28 |
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