Cooling Parameters Optimization of H-Beam after Rolling with MOGA

Article Preview

Abstract:

Multi-objective genetic algorithms (MOGA) is broadly used in the engineering problem. . Combined the multi-objective genetic algorithms (MOGA) with finite element method (FEM), a new kind engineering optimization method is established. This optimal method takes fully advantage of the unique feature of genetic algorithms that the optimal solution is achieved by a rapid global search and takes advantage of the unique features of FEM that the computation is accuracy. This method can solve multi-objective problems with more complex constraints in the engineering. The procedure is developed by VC++. Temperature difference of H-beam section has great influence on the residual stress of H-beam. In order to reduce the temperature difference of H-beam and make the microstructure of H-beam uniform, the cooling parameters of H-beam after rolling are optimized. The new kind of optimization method MOGA combined with FEM is used to handle this problem. The better optimization result is obtained.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

260-263

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] Zhang Bo, Zhang Qinhe, Zhang Hailong, et, al. Metal deforming analysis of H-beam in hot-continuous-rolling process. Forging &Stamping Technology, 2009, 34(3)88-91.

Google Scholar

[2] Jinhong, Ma, Wenzhi, Zhang , Wei Chen, et, al. The uniform elongation of web and flange of H-beam,Advanced Materials Research Vols. 79-82 (2009) p.1919-(1922).

DOI: 10.4028/www.scientific.net/amr.79-82.1919

Google Scholar

[3] Jinhong, Ma, Hui, Li, Hongbin, Li, et, al. Control on Head Displacement of H-beam in Rolling Process. Advanced Materials Research , 2011, 189-193: 2814-2817.

DOI: 10.4028/www.scientific.net/amr.189-193.2814

Google Scholar

[4] PAN Qingyuan, LI Jianguo, JIN Wei, et, al. Multi-objective optimization on generalized knuckle mechanism in cold forging press based on Genetic Algorithm. Forging& Stamping Technology, 2013, 38(3) : 79-84.

Google Scholar