Optimal design of luffing mechanism of portal crane based on genetic algorithm and finite element analysis

被引:4
作者
Zhao, Qiong [1 ]
Tong, Shui-Guang [2 ]
Zhong, Wei [2 ]
Ge, Jun-Xu [3 ]
机构
[1] Institute of Chemical Machinery, Zhejiang University, Hangzhou
[2] Institute of Thermal Engineering and Power System, Zhejiang University, Hangzhou
[3] Department of Mechanical Engineering, Zhejiang University, Hangzhou
来源
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2015年 / 49卷 / 05期
关键词
Finite element analysis; Genetic algorithm; Optimal design; Portal crane;
D O I
10.3785/j.issn.1008-973X.2015.05.010
中图分类号
学科分类号
摘要
Four-bar luffing mechanism was optimized to reduce manufacturing cost and operating cost of portal crane. An optimal design model with key parameters as design variables was established, And an optimization method based on genetic algorithm and finite element analysis was proposed, to minimize the weight, the unbalanced moment and the vertical drop of the cargo during the luffing process, while accomplish the technical parameters of portal crane. The parameterized finite element model generator was developed for four-bar luffing mechanism of portal crane. The performance constraint conditions obtained from finite element solver and the boundary constraint conditions were used to evaluate the optimal targets. The results indicate that the model and method is suitable for the structure and performance optimal design of the four-bar luffing mechanism of portal crane, and can improve the design quality effectively. ©, 2015, Zhejiang University. All right reserved.
引用
收藏
页码:880 / 886
页数:6
相关论文
共 8 条
[1]  
Xu S.-Y., Su Y.-B., Liu Q., Finite element analysis on the jib structure of portal crane, Hoisting and Conveying Machinery, 8, pp. 59-61, (2007)
[2]  
Guo J.-Q., Yang X.-X., Liu S.-L., Et al., Finite element analysis and strain measurement of a M02-10t gantry crane, Journal of Mechanical & Electrical Engineering, 29, 3, pp. 253-256, (2012)
[3]  
He X.-J., Zhu G.-Q., Lao X.-S., Application of genetic algorithm in optimal design of centrifugal pump, Drainage and Irrigation Machinery, 26, 2, pp. 40-44, (2008)
[4]  
Wu Y.-L., Zhong W., Tong S.-G., Subsystem Optimization of Tail Boiler Heating Surface via Genetic Algorithm, Proceedings of the CSEE, 8, pp. 56-62, (2010)
[5]  
Guo C.-G., Wang P.-J., Tian P., Et al., Optimization design of CNC machine tool spindle based on genetic algorithm, Journal of Northeastern University:Natural Science, 32, 6, pp. 850-853, (2011)
[6]  
Design rules for cranes, pp. 5-45, (1983)
[7]  
Angel E., Interactive Computer Graphics: A Top-down Approach Using Opengl, 5/e, pp. 47-159, (2008)
[8]  
NX Nastran Lnear Static Analysis User's Guide, pp. 31-75, (2003)