Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches: application on micro gears
Research output: Journal contributions › Journal articles › Research › peer-review
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In: International Journal of Advanced Manufacturing Technology, Vol. 126, No. 9-10, 06.2023, p. 4101-4117.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches
T2 - application on micro gears
AU - Khezri, Amirhossein
AU - Schiller, Vivian
AU - Goka, Edoh
AU - Homri, Lazhar
AU - Etienne, Alain
AU - Stamer, Florian
AU - Dantan, Jean Yves
AU - Lanza, Gisela
N1 - Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2023/6
Y1 - 2023/6
N2 - 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.
AB - 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.
KW - Behavior analysis
KW - Conformity rate prediction
KW - Cost-tolerance optimization
KW - Gear
KW - Surrogate model
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85152678964&partnerID=8YFLogxK
U2 - 10.21203/rs.3.rs-2487746/v1
DO - 10.21203/rs.3.rs-2487746/v1
M3 - Journal articles
AN - SCOPUS:85152678964
VL - 126
SP - 4101
EP - 4117
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
IS - 9-10
ER -