Decide-Adapt-Reuse: a decision framework to reuse or adapt metamodels for new clinch joint designs Einwag, Jonathan-Markus Wartzack, Sandro J. Goetz, Stefan <jats:title>ABSTRACT:</jats:title> <jats:p> Metamodels are replacing costly validation simulations and experiments in clinch joint design. If materials or conditions change, existing metamodels may no longer be reliable. This paper presents an approach that uses model uncertainty, the Coefficient of Prognosis and the R <jats:sup>2</jats:sup> score to decide if a model should be reused or recalibrated, or if fine-tuning is needed. Two case studies show that the framework can provide sufficient recommendations and reused, recalibrated and fine-tuned models can match new models while reducing simulation and training effort. </jats:p> Cambridge University Press (CUP) 2026 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/67400 Einwag J-M, Wartzack SJ, Goetz S. Decide-Adapt-Reuse: a decision framework to reuse or adapt metamodels for new clinch joint designs. In: <i>Proceedings of the Design Society</i>. Vol 6. Cambridge University Press (CUP); 2026:527-536. doi:<a href="https://doi.org/10.1017/pds.2026.10411">10.1017/pds.2026.10411</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1017/pds.2026.10411 info:eu-repo/semantics/altIdentifier/issn/2732-527X info:eu-repo/semantics/closedAccess