Application of Ant Colony Algorithm in Optimal Preform Design of Forging Process

Autor: Xin Hai Zhao, Guo Qun Zhao, Jian Chang Bai
Rok vydání: 2015
Předmět:
Zdroj: Advanced Materials Research. 1096:292-296
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.1096.292
Popis: For the forging with complex shape, the preform design is a difficult problem in the process and die design. It has an enormous influence on the quality of the forging. In this paper, combining with the FEM, the Ant Colony Algorithm was used for the preform optimization design. The general Ant Colony Algorithm was improved to fit for the multivariate continuous function optimization. The preform die shape was represented by B-spline and the coordinates of the control point of the B-spline were taken as the optimization design variables. The optimization program was developed. Finally, aimed to decrease the material cost of the forging, the preform optimization of a typical H-section forging was obtained using the self-developed program. The optimization results show that the improved Ant Colony Algorithm is suitable for the preform optimization design of forging.
Databáze: OpenAIRE