Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Amirhossein Khezri
  • Vivian Schiller
  • Edoh Goka
  • Lazhar Homri
  • Alain Etienne
  • Florian Stamer
  • Jean Yves Dantan
  • Gisela Lanza

With the introduction of new technologies, the scope of miniaturization has broadened. The conditions under which complicated products are designed, manufactured, and assembled ultimately influence how well they perform. The intricacy and crucial functionality of products are frequently only fulfilled through the use of high-precision components such as micro gears. In power transmission systems, gears are used in a variety of industries. Micro gears or gears with micro features, with tolerances of less than 5 μm, are pushing manufacturing processes to their technological limits. Monte-Carlo simulation methods enable an accurate forecast of inaccuracies in compliance. The complexity of the micro gear’s design, on the other hand, increases the simulation computation and runtime. An alternative method for simulation is to create a surrogate model to predict the behavior. This paper proposes a statistical surrogate model to predict the conformity of a pair of micro gears. Afterward, the advantage of the surrogate model enables the optimal tolerance assignment while taking gear functionality and production cost into account.

OriginalspracheEnglisch
ZeitschriftInternational Journal of Advanced Manufacturing Technology
Jahrgang126
Ausgabenummer9-10
Seiten (von - bis)4101-4117
Anzahl der Seiten17
ISSN0268-3768
DOIs
PublikationsstatusErschienen - 06.2023
Extern publiziertJa

Bibliographische Notiz

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

DOI