Single-Row Planetary Gearbox Gearings Optimization Using Genetic Algorithms

Buiga, Ovidiu; Haragâş, Simion

doi:10.1007/978-94-007-6558-0_35

Cited by 1 publication

(1 citation statement)

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“…The principal procedure is depicted in the NSGA-II module within Figure 10. Hyperparameters were configured with a population size of 300, crossover probability and mutation probability of 0.8 and 0.5, respectively, and a maximum generation count of 500 [30]. For an extensive understanding of NSGA-II, please refer to the study by Deb et al [31].…”

Section: Optimization Workflowmentioning

confidence: 99%

Multi-Objective Optimization of Two-Stage Helical Pairs in Helical Hydraulic Rotary Actuator Using Ensemble of Metamodels and NSGA-II

Liu,

Li,

Gan

et al. 2023

Actuators

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This paper aims to optimize the two-stage helical pairs (TSHPs) in a helical hydraulic rotary actuator (HHRA) in terms of volume, transmission efficiency, and maximum contact stress. Volume and transmission efficiency can be determined through analytical mathematical models. However, calculating the contact stress of helical pairs necessitates complex and time-consuming finite element simulation. To address this issue, a method for predicting the maximum contact stress using an ensemble of metamodels (EMs) is proposed, with an automated finite element simulation process developed for data provision. The superiority of the EMs is validated through comparative analysis with three stand-alone metamodels. The optimization is carried out using the NSGA-II algorithm, including four combinations of the three objectives, and global sensitivity is analyzed over the objectives. The results indicate a trade-off relationship between maximum contact stress and volume in the optimal space. Moreover, considering multiple combinations enhances the robustness of the optimization results. The method is effectively applied to the design of the TSHPs and provides a new idea for the related actuator design.

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Section: Optimization Workflowmentioning

confidence: 99%