Framework for the efficient Consideration of Non-Geometric Key Characteristics in Tolerance Analysis

Kopatsch J, Wartzack S, Götz S (2025)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Publisher: Fraunhofer IAO

City/Town: Stuttgart

Pages Range: 236-247

Conference Proceedings Title: Tagungsband zum Stuttgarter Symposium für Produktentwicklung SSP 2025

Event location: Stuttgart DE

URI: https://elib.uni-stuttgart.de/handle/11682/16385

DOI: 10.18419/opus-16366

Open Access Link: https://elib.uni-stuttgart.de/handle/11682/16385

Abstract

In the context of tolerance analyses, Key Characteristics (KCs) represent assembly properties that depend on the combined effect of part deviations. Non-geometric KCs, such as part stiffness, require the solution of partial differential equations (PDE), leading to increased computational effort compared to analytically solvable functional relations. To handle this issue, surrogate models replace the time-consuming PDE solutions. However, the inherent uncertainties affect the quality of the results of the determined KC values and therefore their significance. This uncertainty can be reduced by an extensive and precise training data set, but leads to increased computation times. To overcome this conflict and enable an efficient consideration of non-geometric KCs in tolerance analyses, a novel concept allowing the incorporation of several uncertainty levels in surrogate models by means of multi-level and -fidelity-based surrogate models is proposed. Thus, the time-consuming computation of exact PDE solutions and the uncertainty of the surrogate model is reduced, by including solutions with a lower level of detail.

Authors with CRIS profile

Jan Kopatsch Chair of Engineering Design (KTmfk) Sandro Wartzack Chair of Engineering Design (KTmfk) Stefan Götz Chair of Engineering Design (KTmfk)

How to cite

APA:

Kopatsch, J., Wartzack, S., & Götz, S. (2025). Framework for the efficient Consideration of Non-Geometric Key Characteristics in Tolerance Analysis. In Katharina Hölzle, Matthias Kreimeyer, Daniel Roth, Thomas Maier, Oliver Riedel (Eds.), Tagungsband zum Stuttgarter Symposium für Produktentwicklung SSP 2025 (pp. 236-247). Stuttgart, DE: Stuttgart: Fraunhofer IAO.

MLA:

Kopatsch, Jan, Sandro Wartzack, and Stefan Götz. "Framework for the efficient Consideration of Non-Geometric Key Characteristics in Tolerance Analysis." Proceedings of the Stuttgarter Symposium für Produktentwicklung SSP 2025, Stuttgart Ed. Katharina Hölzle, Matthias Kreimeyer, Daniel Roth, Thomas Maier, Oliver Riedel, Stuttgart: Fraunhofer IAO, 2025. 236-247.

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