Fuzzy Multi-Objective Structural Optimization Design of Reducer Housing for Oil Tea Fruit Shelling Machine

In order to reduce the weight of the reducer housing and improve the structural performance of the housing, a fatigue-resistant lightweight design method in consideration of multi-source uncertainties was proposed.The numerical transient response analysis was utilized to analyze the dynamic characteristics of the cast iron reducer housing, and the simulation results were in good agreement with the experimental data.The stiffness fuzzy multi-objective topology optimization function was constructed with three static conditions and third-order dynamic frequencies based on the fuzzy variable weight coefficients, the fuzzy multi-objective topology optimization design was carried out on the reducer housing to obtain the new reducer housing.Then, the anti-fatigue and lightweight co-optimization design of the rebuilt reducer housing considering multi-sources uncertainties was performed.The optimized results showed that the weight was reduced by 13.2% while under the premise of ensuring the fatigue life.

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Publication Details

Journal
Tehnicki vjesnik - Technical Gazette
Published
2025-05-02
DOI
https://doi.org/10.17559/tv-20231221001225
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00

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article

Fuzzy Multi-Objective Structural Optimization Design of Reducer Housing for Oil Tea Fruit Shelling Machine

Tehnicki vjesnik - Technical Gazette
Remote Sensing and Land Use
article

Fuzzy Multi-Objective Structural Optimization Design of Reducer Housing for Oil Tea Fruit Shelling Machine

article en

Abstract

In order to reduce the weight of the reducer housing and improve the structural performance of the housing, a fatigue-resistant lightweight design method in consideration of multi-source uncertainties was proposed.The numerical transient response analysis was utilized to analyze the dynamic characteristics of the cast iron reducer housing, and the simulation results were in good agreement with the experimental data.The stiffness fuzzy multi-objective topology optimization function was constructed with three static conditions and third-order dynamic frequencies based on the fuzzy variable weight coefficients, the fuzzy multi-objective topology optimization design was carried out on the reducer housing to obtain the new reducer housing.Then, the anti-fatigue and lightweight co-optimization design of the rebuilt reducer housing considering multi-sources uncertainties was performed.The optimized results showed that the weight was reduced by 13.2% while under the premise of ensuring the fatigue life.

Tehnicki vjesnik - Technical GazetteVol. 32(3)
Hunan University of Technology (CN)
National Forestry and Grassland Administration
Openalex Percentile: Top 86%
Remote Sensing and Land Use
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