Abstract
Biconvex tube is prone to problems such as severe wall thickness reduction or wrinkling in hydroforming due to the big diameter-thickness ratio and large expansion ratio. In this paper, the segmented dies were employed to manufacture the biconvex tube, and the forming performance of the part under different loading paths was simulated by ABAQUS/Explicit software, then the corresponding results were obtained. The influence of loading path–related factors on the formability of the biconvex tube was analyzed by the response surface method. Based on the optimization evaluation criteria, the predicted loading path was determined to be linear loading, and the maximum axial feeding was 13 mm and the maximum internal pressure was 89 MPa.
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References
Kong TF, Lu XZ, Chan LC (2019) Analysis and reduction of wrinkling defects for tube-hydroforming magnesium alloy components at elevated temperatures. Mater Des 173:107761
Park JY, Han SW, Jeong HS, Cho JR, Moon YH (2017) Advanced sealing system to prevent leakage in hydroforming. J Mater Process Technol 247:103–110
Kim HS, Sumption MD, Bong HJ, Lim H, Collings EW (2017) Development of a multi-scale simulation model of tube hydroforming for superconducting RF cavities. Mater Sci Eng A 679:104–115
Han C, Feng H, Yan LD, Yuan SJ (2017) Thickness improvement in non-homogeneous tube hydroforming of a rectangular component by contact sequence. Int J Adv Manuf Technol 92:2667–2675
Chen MT, Xiao XT, Tong JH, Guo H, Wen JP (2018) Optimization of loading path in hydroforming of parallel double branched tube through response surface methodology. Adv Eng Softw 115:429–438
Abdessalem AB, Elhami A (2014) Global sensitivity analysis and multi-objective optimisation of loading path in tube hydroforming process based on metamodelling techniques. Int J Adv Manuf Technol 71(5):753–773
Huang TL, Song XW, Liu M (2017) The multi-objective optimization of the loading paths for T-shape tube hydroforming using adaptive support vector regression. Int J Adv Manuf Technol 88(9):3447–3458
Brooghani SY, Khalili K, Shahri SE, Kang BS (2014) Loading path optimization of a hydroformed part using multilevel response surface method. Int J Adv Manuf Technol 70(5):1523–1531
Huang TL, Song XW, Liu M (2016) The optimization of the loading path for T-shape tube hydroforming using adaptive radial basis function. Int J Adv Manuf Technol 82(9):1843–1857
Chebbah M, Lebaal N (2018) Tube hydroforming optimization using a surrogate modeling approach and Genetic Algorithm. Mech Adv Mater Struct 27(6):515–524
Bihamta R, Bui QH, Guillot M, Amours GD, Rahem A, Fafard M (2015) Global optimisation of the production of complex aluminium tubes by the hydroforming process. CIRP J Manuf Sci Technol 9:1–11
Ma Y, Xu Y, Zhang SH, Chen DY, El-Aty AA, Li JM, Zhao ZJ, Chen GQ (2017) The effect of tube bending, heat treatment and loading paths on process responses of hydroforming for automobile intercooler pipe: numerical and experimental investigations. Int J Adv Manuf Technol 91:2369–2381
Feng YY, Luo ZA, Su HL, Wu QL (2018) Research on the optimization mechanism of loading path in hydroforming process. Int J Adv Manuf Technol 94:4125–4137
Ingarao G, Lorenzo RD, Micari F (2009) Internal pressure and counterpunch action design in Y-shaped tube hydroforming processes: a multi-objective optimisation approach. Comput Struct 87(9):591–602
Ge YL, Li XX, Lang LH, Ruan SW (2017) Optimized design of tube hydroforming loading path using multi-objective differential evolution. Int J Adv Manuf Technol 88(1):837–846
Feng YY, Zhang HG, Luo ZA, Wu QL (2019) Loading path optimization of T tube in hydroforming process using response surface method. Int J Adv Manuf Technol 101(5):1979–1995
Liu G, Tang ZJ, He ZB, Yuan SJ (2010) Warm hydroforming of magnesium alloy tube with large expansion ratio. Trans Nonferrous Metals Soc China 20(11):2071–2075
Xu XF, Wu KW, Wu YW, Jie X, Fu CL (2019) A novel lubrication method for hydroforming of thin-walled aluminum alloy T-shaped tube. Int J Adv Manuf Technol 102(5):2265–2273
Abdelkefi A, Guermazi N, Boudeau N, Malécot P, Haddar N (2016) Effect of the lubrication between the tube and the die on the corner filling when hydroforming of different cross-sectional shapes. Int J Adv Manuf Technol 87(1):1169–1181
Yang ZY, Zhao CC, Dong GJ, Du B, Zhang L (2018) Analytical model of corner filling with granular media to investigate the friction effect between tube and media. Int J Adv Manuf Technol 99:211–224
Wang L, Xu XF, Fan YB, Wei LM (2020) Loading path design of thin-walled aluminum alloy T-shaped tube hydroforming process based on the control of limit pressure. Int J Adv Manuf Technol 108:3119–3131
Jeong HS, Ra JH, Han SW, Moon YH (2019) Manufacturing a telescopic tube screw using a hydroforming process. Mater Manuf Process 34(4):407–413
Chu GN, Lin CY, Li W, Lin YL (2018) Effect of internal pressure on springback during low pressure tube hydroforming. Int J Mater Form 11(6):855–866
Chen MT, Xiao XT, Guo H, Tong JH (2018) Deformation behavior, microstructure and mechanical properties of pure copper subjected to tube hydroforming. Mater Sci Eng A 731:331–343
Alaswad A, Benyounis KY, Olabi AG (2011) Employment of finite element analysis and Response Surface Methodology to investigate the geometrical factors in T-type bi-layered tube hydroforming. Adv Eng Softw 42(11):917–926
Ravikumar K, Pakshirajan K, Swaminathan T, Balu K (2005) Optimization of batch process parameters using response surface methodology for dye removal by a novel adsorbent. Chem Eng J 105(3):131–138
Cheng DJ, Gong W, Li N (2016) Response surface modeling and optimization of direct contact membrane distillation for water desalination. Desalination 394:108–122
Funding
This work was financially supported by the National Key Research and Development Project of China (SQ2020YFF0417369), the Public Welfare Technology Research Program of Zhejiang Provincial (LGG20E050004), and the Science and Technology Research Project of Jiangxi Provincial Department of Education (GJJ180422).
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Zhang, C., Liu, W., Huang, L. et al. Process analysis of biconvex tube hydroforming based on loading path optimization by response surface method. Int J Adv Manuf Technol 112, 2609–2622 (2021). https://doi.org/10.1007/s00170-020-06411-6
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DOI: https://doi.org/10.1007/s00170-020-06411-6