Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.18419/opus-12651
Autor(en): Kaufmann, Manuel
Effenberger, Ira
Huber, Marco F.
Titel: On the development of a surrogate modelling toolbox for virtual assembly
Erscheinungsdatum: 2021
Dokumentart: Zeitschriftenartikel
Seiten: 18
Erschienen in: Applied sciences 11 (2021), No. 1181
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-126700
http://elib.uni-stuttgart.de/handle/11682/12670
http://dx.doi.org/10.18419/opus-12651
ISSN: 2076-3417
Zusammenfassung: Virtual assembly (VA) is a method to simulate the physical assembly (PA) of scanned parts. Small local part deviations can accumulate to large assembly deviations limiting the product quality. The propagation of geometrical deviations onto the assembly is a crucial step in tolerance management to assess the assembly quality. Current approaches for VA do not sufficiently consider the physical joining process. Therefore, the propagated assembly geometry may deviate strongly from the PA. In the state of the art, only specific and complex methods for particular joining processes are known. In this paper, the concept of Surrogate Models (SMs) is introduced, representing the connection between part and assembly geometries for particular joining processes. A Surrogate Modelling Toolbox (SMT) is developed that is intended to cover the variety of joining processes by the implementation of suitable SMs. A particular SM is created by the composition of suitable Surrogate Operations (SOs). An open list of SOs is presented. The composition of a SM is studied for a laser welding process of two polymer components. The resulting VA is compared to the PA in order to validate the developed model and is quantified by the exploitation ratio R.
Enthalten in den Sammlungen:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
applsci-11-01181-v2.pdf2,91 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons