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Integrating Multiscale Modeling of Metal Printing with Advanced Calibration and Characterization Techniques

Project description

Advanced computational approach could boost commercial use of binder jetting

Binder jetting is an emerging additive manufacturing technology offering greater material flexibility and reduced residual stresses compared to fusion-based technologies. Funded by the Marie Skłodowska-Curie Actions programme, the IMMMPACCT project will develop a robust computational framework to investigate the underlying complex phenomena. Advanced numerical methods including discrete element method and phase-field modelling will be used to simulate different stages of the binder jetting process. A custom Bayesian calibration framework leveraging industrial collaborations and 3D X-ray data will ensure model accuracy. Focusing on optimising parameters for two high-impact steels, IMMMPACCT aims to advance binder jetting technology, reduce defects and promote its widespread use in critical applications.

Objective

Binder Jetting (BJ) is an emerging additive manufacturing (AM) technology with greater flexibility on material selection and reduced residual stresses than fusion-based AM technologies. However, a deeper comprehensive understanding of the multiphase and multiscale phenomena involved in BJ is essential for its successful adoption. In this proposal, we will delve into the intricate mechanisms of BJ through the combination of various computational methods and the application of advanced statistical analyses. Our primary objective is to develop a robust computational framework that will facilitate a more precise comprehension of how the different stages of the BJ process interact employing different numerical methods, including Discrete Element Method for the simulation of the powder spreading stage and the Phase Field for the curing and sintering stage. The combination of these different techniques will enable us to unravel the complex interplay of factors at different scales, leading to a comprehensive understanding of the process kinetics. Moreover, the accuracy and reliability of the computational models will be ensured by the use of a custom-designed Bayesian calibration framework that will leverage existing collaborations industrial partners and advanced 3D X-ray characterization to obtain the required experimental data. Once completed, the calibrated computational framework will enable us to optimize critical parameters of the process (e.g. binder viscosity, layer thickness, powder properties) focusing on two high-impact steels (316L and 17-4 PH). Our project will advance the state-of-the-art in BJ technology by providing a comprehensive computational framework and bridge the gap between theory and practice. This framework will not only enhance our understanding of the process but also enable us to drastically reduce the occurrence of defects, paving the way for the widespread adoption of Binder Jetting in critical applications.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

FUNDACION IMDEA MATERIALES
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 165 312,96
Address
CALLE ERIC KANDEL 2 PARQUE CIENTIFICO Y TECNOLOGICO TECNOGETAFE
28906 Getafe
Spain

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Comunidad de Madrid Comunidad de Madrid Madrid
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