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Title:Optimization design on forging rocker arm of large hydraulic loader
Authors: Qi Minjie  Song Kexing Zhang Xuebin Yu Yiluo  Lu Changqing  Chen Xuefu 
Unit: Henan University of Science and Technology  Henan Key Laboratory of Advanced Non-ferrous   Metals  TYO Group Corporation 
KeyWords: hydraulic loader  rocker arm  Latin hypercube sampling  quadratic polynomial response surface    neighborhood cultivation genetic algorithm (NCGA) 
ClassificationCode:TG315
year,vol(issue):pagenumber:2016,41(9):88-91
Abstract:

 A finite element model of the forging rocker arm of large hydraulic loader was built by ANSYS 

 
software, and the static analysis under the maximum working load was carried out to obtain the 
 
distribution of displacement and stress. On the basis of the static analysis, the optimization 
 
design for weight reduction of the rocker arm was carried out by the Latin hypercube 
 
experimental design methods and quadratic polynomial response surface model with the 
 
application of genetic algorithm (NCGA) iterative solution on the premise of unchanged 
 
mounting dimensions of rocker arm and satisfied stiffness and strength of rocker arm. 
 
Construction of 3D solid model of the rocker arm was given, and the static analysis under the 
 
maximum load was carried out. The analysis results show that the optimized stiffness and 
 
strength of rocker arm can meet the working demand. In addition, the weight deduces about 
 
59.98 kg. Thus, the raw material is saved and the production cost is reduced.
Funds:
河南省科技厅科技攻关项目(132102210122)
AuthorIntro:
齐敏杰(1990-),女,硕士研究生 宋克兴(1967-),男,博士,教授
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