Technical gazette, Vol. 32 No. 3, 2025.
Original scientific paper
https://doi.org/10.17559/TV-20231221001225
Fuzzy Multi-Objective Structural Optimization Design of Reducer Housing for Oil Tea Fruit Shelling Machine
Di Kang
; Hunan Academy of forestry, No. 658 Shaoshan South Road, Changsha, Hunan Province, China
Longsheng Chen
; Hunan Academy of forestry, No. 658 Shaoshan South Road, Changsha, Hunan Province, China
Shaofeng Peng
; -
Wanyuan Li
; Hunan Shennong National Oil Ecological Agriculture Development Co., Shennong National Oil Industrial Park, No. 1998 Shennong North Road, Qiling Neighbourhood Committee, Sanjia Office, Leiyang City, China
Delin Wu
; Anhui Agricultural University, No. 130 West Changjiang Road, Hefei City, Anhui Province, China
Yang Hai
; Department of Mechanical Engineering, Hunan University of Technology, No. 88 West of Taishan Road, Zhuzhou City, China
Chengji Mi
; Department of Mechanical Engineering, Hunan University of Technology, No. 88 West of Taishan Road, Zhuzhou City, China
*
* Corresponding author.
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.
Keywords
anti-fatigue and lightweight co-optimization; fuzzy variable weight coefficient; multi-objective optimization; multi-sources uncertainties
Hrčak ID:
330541
URI
Publication date:
1.5.2025.
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