AI-Driven Prediction of Micro Gears' Performance for Cost-Tolerance Optimization

In design engineering, precise tolerances are essential to meet required specifications. Advancements in technology have enabled miniaturization and the manufacturing of high-precision components, such as micro gears with tolerances below 5 μm. While Monte-Carlo simulations can predict inaccuracies, they are time-consuming for complex designs. These codes provide an AI-driven statistical surrogate model for a pair of industrial micro gears to predict conformity and tailored a modular cost model to interpret it into production cost.

Reference

Khezri, A., Schiller, V., Goka, E., Homri, L., Etienne, A., Stamer, F., Dantan, J.-Y., & Lanza, G. (2023). Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-023-11360-x