Based on the Particle Swarm Optimization of Truck Crane Telescopic Jib Optimization and Implementation

Ge Ning Xu; Xiao Yan Hou; Qing Dong

doi:10.4028/www.scientific.net/AMM.401-403.548

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Based on the Particle Swarm Optimization of Truck...

Based on the Particle Swarm Optimization of Truck Crane Telescopic Jib Optimization and Implementation

Abstract:

The mathematical model of the telescopic jib is set up with the weight of the telescopic jib as optimization objectives, the strength,stiffness of telescopic jib, the local stability of the web as the constraint conditions. An Optimization program is developed based on the Particle Swarm Optimization Algorithm and constraint conditions and design parameters is being analyzed. The design variables are optimized to reduce the weight of the telescopic jib. It is shown in the engineering real example that the particle swarm optimization algorithm for the optimization effect of telescopic jib is obvious. The Optimization program introduced has a practical value.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

548-553

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.548

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Online since:

September 2013

Authors:

Ge Ning Xu, Xiao Yan Hou, Qing Dong

Keywords:

Mathematical Models, Optimization, Particle Swarm Optimization (PSO), Telescopic Jib

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References

[1] Gening. Xu. Metal Structural Design of Machinery Equipment, China Machine Press, Beijing, (2009).

Google Scholar

[2] GB/T3811-2008 Design Standards for cranes, National Standard of the People's Republic of China, (2008).

Google Scholar

[3] Jianchao. Zeng, Jing. Jie, Zhihua. Cui, Particle swarm optimization, Science Press, Beijing (2004).

Google Scholar

[4] Peide. Zhou, Jun. Liu, Discrete variable method to optimize the design for the telescopic jib box, Construction Machinery. 1(1990). pp.12-16.

Google Scholar

[5] Li. Zhou, Mixed sets of discrete variables in Mechanical Engineering optimization design method. Chinese Journal of Mechanical Engineering, 1985，pp.78-88.

Google Scholar

[6] Wenpei. Huang, Lanfeng. Yu, Hongzhong. Huang, The railway rescue crane box telescopic optimization design, Southwest Jiaotong University, Mechanical Engineering Institute, Chengdu. (1999).

Google Scholar

[7] Lanfeng. Yu, Hongzhong. Huang, 160t railway rescue crane box telescopic fuzzy optimization model, Machinery, (1997).

Google Scholar

[8] Yin. Li, Bridge crane safety technology, China Petrochemical Press, Beijing. (2008).

Google Scholar