Optimization of internal  Pressure and Axial Feed in Metal composite Al-Cu Tubes Hydroforming Process with Genetic Algorithm

Shahbazi Karami, Javad; Morad Sheikhi, , Mohammad Morad Sheikhi1; Manafi, Davood; Chaechi, Orang

Document Type : Research Paper

Authors

¹ Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Ira

² Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran

³ Faculty of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

Abstract

Metalic composite tubes, used in special applications such as aerospace and oil industries, can be produced by multi-layered tube hydroforming. Pressure and feed loading paths are two important parameters in two-layered tube hydroforming process. Theoretical formulas don’t exist to obtain correct pressure and feed loading paths. On the other hand, these loading paths have a significant influence on the quality of products. Therefor determining of optimal pressure and feed loading paths with meta-heuristic algorithm was studied in this paper. First, finite element (FE) model of two-layered tube hydroforming process was created and validated with experimental data. Then FE model and meta-heuristic optimization algorithm were combined to determine of the loading paths. In this paper, genetic algorithm was used as a meta-heuristic optimization. Conformation of the geometrical dimension of the product with the design dimension of final product was goal function in this algorithm. Also, the maximum amount of thickness changing and Von-mises stress were considered as constrains of optimization. Both loading paths were assumed linear. Python programming and ABAQUS software are utilized for process simulation and linking the FE model and genetic algorithm.

Keywords

Main Subjects

Plasticity- metal forming

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Optimization of internal Pressure and Axial Feed in Metal composite Al-Cu Tubes Hydroforming Process with Genetic Algorithm

References

Volume 4, Issue 3December 2017Pages 275-282

Volume 4, Issue 3
December 2017
Pages 275-282