Numerical simulation of shrinkage and deformation during sintering in metal binder jetting with experimental validation

[Display omitted] •To predict sintering deformation of MBJ parts, a calibrated material model is used.•Simulations’ predictions are compared with experiments for two industrial-size parts.•Due to poor repeatability of MBJ, simulations are validated by a statistical approach.•Deformation of the part...

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Veröffentlicht in:Materials & design 2022-04, Vol.216, p.110490, Article 110490
Hauptverfasser: Sadeghi Borujeni, Shahrooz, Shad, Anwar, Abburi Venkata, Kiranmayi, Günther, Nico, Ploshikhin, Vasily
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Sprache:eng
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Zusammenfassung:[Display omitted] •To predict sintering deformation of MBJ parts, a calibrated material model is used.•Simulations’ predictions are compared with experiments for two industrial-size parts.•Due to poor repeatability of MBJ, simulations are validated by a statistical approach.•Deformation of the part with smaller build height is predicted with ±1 mm tolerance. Sintering, as a post-processing step in metal binder jetting (MBJ), often results in distortion. Numerical simulations can predict sintering distortion and minimize costly trial-and-error experiments. The present paper implements a numerical approach based on a phenomenological model of sintering to capture the creep deformation during free sintering. To qualify and calibrate the material model for MBJ, metallographic studies, dilatometry experiments, and viscosity measurements are carried out instead of empirical models for viscosity and sinter stress. Using the calibrated material model, final sintering distortions are predicted in two industry-relevant parts. The reproducibility of MBJ products is illustrated by manufacturing seven specimens for each geometry, and a statistical method to evaluate the simulations’ accuracy is suggested. The predictions have a good agreement with experimental results, particularly for specimens with a lower build height. As the build height increases in MBJ specimens, the number of interlayer gaps in the build direction grows, resulting in anisotropic densification. This causes a lower prediction accuracy under isotropic shrinkage assumption, especially in overhang areas. Consideration of anisotropic shrinkage and heterogeneous density distribution of green parts in sintering simulation is essential to improve the accuracy of sintering predictions for MBJ components.
ISSN:0264-1275
1873-4197
DOI:10.1016/j.matdes.2022.110490