Summary
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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Web resources: | https://cordis.europa.eu/project/id/101153154 |
Start date: | 01-10-2024 |
End date: | 30-09-2026 |
Total budget - Public funding: | - 165 312,00 Euro |
Cordis data
Original description
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.Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
18-11-2024
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