Strobl, Dominic
[VerfasserIn];
Unger, Jörg F.
[VerfasserIn];
Ghnatios, C.
[VerfasserIn];
Klawoon, Alexander
[VerfasserIn];
Pittner, Andreas
[VerfasserIn];
Rethmeier, Michael
[VerfasserIn];
Robens-Radermacher, Annika
[VerfasserIn]
Efficient bead-on-plate weld model for parameter estimation towards effective wire arc additive manufacturing simulation
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Medientyp:
E-Artikel
Titel:
Efficient bead-on-plate weld model for parameter estimation towards effective wire arc additive manufacturing simulation
Beteiligte:
Strobl, Dominic
[VerfasserIn];
Unger, Jörg F.
[VerfasserIn];
Ghnatios, C.
[VerfasserIn];
Klawoon, Alexander
[VerfasserIn];
Pittner, Andreas
[VerfasserIn];
Rethmeier, Michael
[VerfasserIn];
Robens-Radermacher, Annika
[VerfasserIn]
Erschienen:
BAM-Publica - Publikationsserver der Bundesanstalt für Materialforschung und -prüfung (BAM), 2024
Sprache:
Englisch
DOI:
https://doi.org/10.1007/s40194-024-01700-0
Entstehung:
Anmerkungen:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Beschreibung:
Despite the advances in hardware and software techniques, standard numerical methods fail in providing real-time simulations, especially for complex processes such as additive manufacturing applications. A real-time simulation enables process control through the combination of process monitoring and automated feedback, which increases the flexibility and quality of a process. Typically, before producing a whole additive manufacturing structure, a simplified experiment in the form of a beadon-plate experiment is performed to get a first insight into the process and to set parameters suitably. In this work, a reduced order model for the transient thermal problem of the bead-on-plate weld simulation is developed, allowing an efficient model calibration and control of the process. The proposed approach applies the proper generalized decomposition (PGD) method, a popular model order reduction technique, to decrease the computational effort of each model evaluation required multiple times in parameter estimation, control, and optimization. The welding torch is modeled by a moving heat source, which leads to difficulties separating space and time, a key ingredient in PGD simulations. A novel approach for separating space and time is applied and extended to 3D problems allowing the derivation of an efficient separated representation of the temperature. The results are verified against a standard finite element model showing excellent agreement. The reduced order model is also leveraged in a Bayesian model parameter estimation setup, speeding up calibrations and ultimately leading to an optimized real-time simulation approach for welding experiment using synthetic as well as real measurement data.