Data-driven process parameter optimization of a tumbling self-piercing riveting machine via Bayesian optimization

Sarris J, Forooshani AM, Pierer von Esch M, Lechner M, Merklein M, Graichen K (2026)

Publication Type: Journal article

Publication year: 2026

Journal

Production Engineering Wissenschaftliche Gesellschaft für Produktionstechnik (WGP)

Book Volume: 20

Article Number: 104

DOI: 10.1007/s11740-026-01482-y

Authors with CRIS profile

Jessica Sarris Sonderforschungsbereich/Transregio 285 Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten Maximilian Pierer von Esch Chair of Automatic Control (LRT/AC) Michael Lechner Professur für Maßgeschneiderte Produktionsprozesse Marion Merklein Institute of Manufacturing Technology (LFT) Knut Graichen Chair of Automatic Control (LRT/AC)

How to cite

APA:

Sarris, J., Forooshani, A.M., Pierer von Esch, M., Lechner, M., Merklein, M., & Graichen, K. (2026). Data-driven process parameter optimization of a tumbling self-piercing riveting machine via Bayesian optimization. Production Engineering, 20. https://doi.org/10.1007/s11740-026-01482-y

MLA:

Sarris, Jessica, et al. "Data-driven process parameter optimization of a tumbling self-piercing riveting machine via Bayesian optimization." Production Engineering 20 (2026).

BibTeX: Download