Parameter Forecast and Parameter Optimization of High Inner-pressure Hydro-forming Tees Based on Genetic Algorithms and Back Propagation Algorithms

摘要：

In allusion to the non-linear relation in key parameters(internal pressure, axial extrusion force, radial back force) of Three-way tube hydroforming process, forecast and optimization models are established based on genetic algorithms and back propagation algorithms. By using the capacity of non-linear mappings of Artifical Neural Network and the capacity of global optimization of Genetic Algorithms ，and using dynaform Finite Element simulation software to get samples and check results, the models can forecast and optimize parameters of T tube hydroforming process. The original tube could be in any bore, length, and wall thickness of a certain range. The results show that by using these models, parameters’ matching test numbers could be reduced, and the quality of T tube is excellent.

作者: Tan LI Jian Zhang Xu CHEN Li GU Zhihua WANG Hongxiang CUI

作者单位: School of Materials Science & Engineering, Tianjin University of Technology, Tianjin 300384,China School of Materials Science & Engineering, Tianjin University of Technology, Tianjin 300384,China Ke School of Materials Science & Engineering, Tianjin University of Technology, Tianjin 300384, China T

会议类型: 国际会议

会议名称: The 6th International Conference on Physical and Numerical Simulation of Materials Processing(第六届材料与热加工物理模拟及数值模拟国际学术会议 ICPNS 2010)

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）