ArticleScientific reports2023
A multi-objective optimization design approach of large mining planetary gear reducer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Pareto-Driven Multiobjective Design of Axial-Flow Automotive Fan with Response Surface Modeling.ACS omega · 2026Article
- Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA.Scientific reports · 2025Article
- FOX Optimization Algorithm Based on Adaptive Spiral Flight and Multi-Strategy Fusion.Biomimetics (Basel, Switzerland) · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
A two-stage computational framework is proposed to optimize the radiated noise and weight of a large mining planetary gear reducer under the rated conditions, based on a combination of response surface methodology and multi-objective optimization. The well-established transient dynamic analysis model of a large mining planetary gear reducer, which is used to analyze the mechanical strength and acoustic characteristics of the gear reducer. A unified experimental design is developed to obtain the response surface of the gearbox radiated noise and the mass of the gearbox housing. After obtaining the multi-objective optimization function, the multi-objective optimization problem for a lightweight and low-noise gearbox is performed using non-dominated sorting from the Genetic Algorithm II (NSGA-II). The research results demonstrates the effectiveness of the proposed optimization method in reducing vibrating amplitude and weight of the gearbox. This is crucial for minimizing energy consumption and enhancing the overall performance of the system. Additionally, the optimized gearbox design not only saves energy but also contributes to the reduction of carbon emissions, making it environmentally friendly.
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Registered trials
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