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Abstract
The quality of tubes obtained by rotary draw bending (RDB) depends on many process parameters whose selection is essential to prevent defects such as fracture, wrinkling, springback and lack of tube’s ovality. Whereas the finite element method (FEM) is a useful method for defects detection in the metal forming processes, the Gurson-Tvergaard Needleman (GTN) damage model is used in the numerical simulation of RDB for fracture prediction of BS 3059 steel tube. The numerical results were verified with the experimental ones for thickness distribution in the tube outer wall and also fracture prediction. The effect of some RDB parameters such as pressure of pressure die, boosting velocity of pressure die, friction between the tube and pressure die, mandrel position and number of mandrel balls were studied on the fracture, wrinkling and tube’s ovality. The results showed that using a low value for the boosting velocity of pressure die caused the tube fracture and using the high value for that increased the wrinkling possibility of the tube inner wall. The results indicated that the fracture possibility increased by increasing the number of mandrel balls and decreaseing the distance between the mandrel position and the bending center. The tube’s ovality will be increased by decreasing the number of mandrel balls and increasing distance between the mandrel position and the bending center.
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Zhu YX, Liu YL, Li HP, Yang H (2013) Springback prediction for rotary-draw bending of rectangular H96 tube based on isotropic, mixed and Yoshida–Uemori two-surface hardening models. Mater Des 47:200–209.
https://doi.org/10.1016/j.matdes.2012.12.018CrossRef
Tian S, Liu Y, Yang H (2013) Effects of geometrical parameters on wrinkling of thin-walled rectangular aluminum alloy wave-guide tubes in rotary-draw bending. Chin J Aeronaut 26(1):242–248.
https://doi.org/10.1016/j.cja.2012.12.003CrossRef
9.
Li C, Yang H, Zhan M, Xu X-d, Li G-j (2009) Effects of process parameters on numerical control bending process for large diameter thin-walled aluminum alloy tubes. Trans Nonferrous Metals Soc China 19(3):668–673.
https://doi.org/10.1016/S1003-6326(08)60331-3CrossRef
10.
Zhao GY, Liu YL, Yang H, Lu CH, Gu RJ (2009) Three-dimensional finite-elements modeling and simulation of rotary-draw bending process for thin-walled rectangular tube. Mater Sci Eng A 499(1–2):257–261.
https://doi.org/10.1016/j.msea.2007.11.127CrossRef
Zhu YX, Liu YL, Yang H, Li HP (2013) Improvement of the accuracy and the computational efficiency of the springback prediction model for the rotary-draw bending of rectangular H96 tube. Int J Mech Sci 66:224–232.
https://doi.org/10.1016/j.ijmecsci.2012.11.012CrossRef
Zhao G-y, Liu Y-1, Yang H, Lu C-h (2010) Cross-sectional distortion behaviors of thin-walled rectangular tube in rotary-draw bending process. Trans Nonferrous Metals Soc China 20(3):484–489.
https://doi.org/10.1016/S1003-6326(09)60166-7CrossRef
Safdarian R (2018) Forming limit diagram prediction of 6061 aluminum by GTN damage model. Mech Ind 19(2):202
CrossRef
22.
Safdarian R (2020) Forming Limit Diagram Prediction of AISI 304–St 12 Tailor Welded Blanks Using GTN Damage Model. J Test Eval
23.
(ASTM) ASfTaM (1999) Metals test methods and analytical procedures
24.
Björklund O (2014) Ductile Failure in High Strength Steel Sheets. Doctoral thesis, comprehensive summary, Linköping University Electronic Press, Linköping
25.
Gurson AL (1977) Continuum theory of ductile rupture by void nucleation and growth: part I—yield criteria and flow rules for porous ductile media. J Eng Mater Technol 99(1):2–15
CrossRef
He M, Li F, Wang Z (2011) Forming limit stress diagram prediction of aluminum alloy 5052 based on GTN model parameters determined by in situ tensile test. Chin J Aeronaut 24(3):378–386.
https://doi.org/10.1016/S1000-9361(11)60045-9CrossRef
31.
Safdarian R (2018) Failure prediction of Superheater tubes in rotary tube bending process using GTN damage model. Trans Indian Inst Metals 72(2).
https://doi.org/10.1007/s12666-018-1499-1
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