Evolutionary Cost-Tolerance Optimization for Complex Assembly Mechanisms Via Simulation and Surrogate Modeling Approaches: Application on Micro Gears
Article dans une revue avec comité de lecture
Author

150665 Karlsruhe Institute of Technology = Karlsruher Institut für Technologie [KIT]

36484 ArcelorMittal Maizières Research SA
107452 Laboratoire de Conception Fabrication Commande [LCFC]
Research data linked to this publication
https://doi.org/10.57745/3EELGXDate
2023-01Journal
International Journal of Advanced Manufacturing TechnologyAbstract
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 m, 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 tolerances assignment while taking gear functionality, and production cost into account.
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