Study on Dynamic Balance in Main Driving Mechanism of Cold Rolling Mill Based on the Particle Swarm Optimization Algorithm

Wen Xian Tang; Jun Jie Sun; Bin Wang

doi:10.4028/www.scientific.net/AMM.55-57.633

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Study on Dynamic Balance in Main Driving Mechanism...

Study on Dynamic Balance in Main Driving Mechanism of Cold Rolling Mill Based on the Particle Swarm Optimization Algorithm

Abstract:

A method for comprehensive dynamic balance of mechanism based on the particle swarm optimization is presented. This paper adopted nonlinear multi-objective programming method to carry out a study on three dynamic property indexes including inertia force, reaction of kinematic pair and input torque. Optimum solution for the parameters estimation problem based on the particle swarm optimization algorithm is obtained by constructing a fitness function of the mathematical optimization model, which consists of those property indexes. The simulation results indicate that the proposed method could eliminate the reluctant evaluations and interactions remarkably, thus improves the application's performance.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

633-638

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.633

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Online since:

May 2011

Authors:

Wen Xian Tang, Jun Jie Sun, Bin Wang

Keywords:

Cold Rolling Mail, Dynamic Balance, Main Driving Mechanism, Particle Swarm Optimization Algorithm (PSO)

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References

[1] Zhu Xiaoping, Wang Tao: Multi-Criteria Decision Optimization of Cutting Parameters Based on Multi-Objective Particle Swarm, Design and Research, Vol. 3 (2010), pp.27-30.

Google Scholar

[2] Chen Changyi, Che Linxian, Ye Yongchun: Optimization of Flexible Rotors' Balance Corrections Based on Particle Swarm Optimization, Journal of Wuyi University, Vol. 20 (3) (2006), pp.30-35.

Google Scholar

[3] Jia Hanfei: Optimal mechanism design of shearing machine using genetic/particle swarm hybrid algorithm, Computer engineering and applications, Vol. 43 (28) (2007), pp.240-242.

Google Scholar

[4] Kennedy J, Eberhart R C: Particle swarm optimization, Proceedings of IEEE International Conference, Neural Networks, Perth, Australia, Vol. 4(1995), p.1942-(1948).

Google Scholar

[5] Eberhart R C, Kennedy J: A new optimizer using particle swarm theory, Proceedings of Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, (1995), pp.39-43.

DOI: 10.1109/mhs.1995.494215

Google Scholar

[6] He Yayin: A study of comprehensive dynamic optimal balance of mechanism based on simulation, Journal of machine design, Vol. 23 (4) 2006, pp.59-62.

Google Scholar