Multi-Objective Collaborative Optimization of Spring

Article Preview

Abstract:

A framework for solving the multi-objective optimization problems of spring in multidisciplinary design environment is advised in this paper. Based on the collaborative optimization (CO) algorithm, a new system level objective function is advised to minimize relative value among the structural mass, the height and the natural vibration frequency. The proposed models were demonstrated with a multi-objective optimization problem of a spring. The optimal design of the spring obtained indicates the great potential of decreasing structural mass and vibration level and increasing natural frequency reserve under the constraints. The analysis progress and results show that the model is feasible and well-suited for using in actual optimization problems of spring design.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

362-367

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Chai Guangyuan, Ge Fei, Zhao Pengbing, Niu Qinyu. Multi-objective Optimum Design of Structural and Property Parameters for Spring[J]. Coal Mine Machinery. 2011, 32(3): 25-27.

Google Scholar

[2] Mo Caisong. The Optimum Design Analysis of Valve Spring in Internal Combustion Engines Base on the Multiobjective[J]. Journal of Maoming University. 2007, 17(4): 25-27.

Google Scholar

[3] Han Zeguang, Fei Ye, Zheng Xijian. Cylinder Helical spring Conceptual Design Based on Multiobjective Evolutionary Algorithms[J]. China manufacturing information. 2006, 35(3): 27-30.

Google Scholar

[4] Ilan Kroo, Valerie Manning. Collaborative Optimization: Status and Directions[J]. AIAA-2000-4721.

Google Scholar

[5] Alexandrov N M, Lewis R M. Analytical and Computational Aspects of Collaborative Optimization for Multidisciplinary Design. AIAA Journal, 2002, 40(2): 301-309.

DOI: 10.2514/3.15062

Google Scholar

[6] JiGuan G. Lin. Analysis and Enhancement of Collaborative Optimization for Multidisciplinary Design. AIAA Journal, 2004, 42(2): 348-360.

Google Scholar

[7] Huang haiyan, Wang Deyu. Collaborative Optimization on Reducing Structural Vibration. Journal of Vibration and shock. 2009, 28(8): 113-116.

Google Scholar

[8] Liu Jie, Ma Wei, Liu Junyao, Guo Qiang. Multiobjective Optimizing Design on Vibration proof Spring of Vibrational Sieve[J]. Coal Mine Machinery. 2007, 28(9): 232-25.

Google Scholar