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

Abstract:

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.

• Periodical: Materials Science Forum (Volumes 704-705)
• Pages: 1223-1230
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.704-705.1223
• Online since: December 2011
• Authors: Jian Zhang, Tan Li, Xu Chen, Li Gu, Zhi Hua Wang, Hong Xiang Cui
• Keywords: Finite Element (FE) Simulation, GA-BP Algorithm, Inner-High Pressure, Parameter Optimization, Parameters Forecast, Three-Way Tube

References

[1] Yuan Shijian. Forging & Stamping Technology. Vol. 2(2008), p.22～30.

[2] Wang Yingjian, Rong Lixia. Journal of Changsha Communications University. Vol. 21(2005), p.53～56.

[3] Zhou Kaili，Kang Yaohong. 1st version. Beijing：Tsinghua University Press (2005).

[4] Zeng Shaojun. Chinese Medicine Science and Technology Press (2005).

[5] Zhou Ming, Sun Shudong. 1st version．Beijing：National Defense Industry Press (1999).

[6] Zhou Hongbao, Mo Dexiu. Die & Mould Manufacture. Vol. 4(2008), p.1~3.