Springback prediction of thick-walled high-strength titanium tube bending

作     者：Song Feifei Yang He Li Heng Zhan Mei Li Guangjun 

作者机构：State Key Laboratory of Solidifcation ProcessingSchool of Materials Science and EngineeringNorthwestern Polytechnical University Chengdu Aircraft Industry (Group) Corporation Ltd. 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2013年第26卷第5期

页      面：1336-1345页

核心收录：

学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 

基　　金：the National Natural Science Foundation of China (No.51275415) Program for New Century Excellent Talents in University the fund of the State Key Laboratory of Solidifcation Processing in NWPU Natural Science Basic Research Plan in Shaanxi Province (No.2011JQ6004),and the 111 Project (No.B08040) for the support 

主　　题：Bending Finite element method High strength Numerical parameters Solid elements Springback Titanium alloys Tube 

摘      要：Significant springback occurs after tube rotary-draw-bending （RDB）, especially for a high-strength Ti-3A1-2.5V tube （HSTT） due to its high ratio of yield strength to Young＇s modulus. The combination scheme of explicit and implicit is preferred to predict the springback. This simulation strategy includes several numerical parameters, such as element type, number of elements through thickness （NEL）, element size, etc. However, the influences of these parameters on spring- back prediction accuracy are not fully understood. Thus, taking the geometrical specification 9.525 mm × 0.508 mm ofa HSTT as the objective, the effects of numerical parameters on prediction accuracy and computation efficiency of springback simulation of HSTT RDB are investigated. The simulated springback results are compared with experimental ones. The main results are： （1） solid and continuum-shell elements predict the experimental results well; （2） for C3DSR elements, NEL of at least 3 is required to obtain reliable results and a relative error of 29% can occur as NEL is varied in the range of 1-3; （3） specifying damping factor typically works well in Abaqus/Emplicit simulation of springback and the springback results are sensitive to the magnitude of damping factor. In addition, the explanations of the effect rules are given and a guideline is added.