摘要
本文为研究Ti55合金板材电辅助V弯回弹规律,基于ABAQUS软件平台建立Ti55合金板材电辅助V弯电-热-力耦合三维有限元模型。对板材V弯及回弹过程进行正交试验模拟,研究弯曲角、相对弯曲半径、有效电流密度、成形速度对板材回弹的影响规律,建立了基于径向基函数的回弹预测模型。结果表明:在选取参数范围内,随着弯曲角、相对弯曲半径的增大和有效电流密度的减小,回弹角增大;随着成形速度的增大,回弹角先减小后增大。极差分析和方差分析得到弯曲角和相对弯曲半径对回弹角有显著影响。电辅助板材V弯相对机械V弯回弹角平均降低48.7%。进行电辅助V弯实验,对比厚度、温度和回弹角,平均误差分别为9.4%、4.6%和13.4%,验证了有限元模拟及回弹预测模型的准确性。
In order to study the springback law of Ti55 alloy sheet by electrical assisted V-bending,a three-dimensional electric-thermal-mechanical coupled finite element model of electrical assisted V-bending of Ti55 alloy sheet is established based on the ABAQUS software.Orthogonal test simulation was carried out on the V-bending and springback process,the influence of bending angle,relative bending radius,effective current density,forming speed was studied,and a springback prediction model based on radial basis function was established.The results show that:within the range of selected parameters,as the bending angle and the relative bending radius increase,the springback angle increases.The springback angle decreases with the increasing of effective current density.As the bending velocity increases,the springback angle decreases first and then increases.Range analysis and analysis of variance show the bending angle and the relative bending radius have a significant effect on the springback angle.Compared with the mechanical V-bending,electrical assisted V-bending reduces the springback angle by 48.7%on average.Conducted an electrical assisted V-bending experiment,comparing the thickness,temperature change and springback angle,the average errors were 9.4%,4.6%and 13.4%,which verified the accuracy of the finite element simulation and springback prediction model.
作者
李萍
解修明
汪会干
严思梁
薛克敏
LI Ping;XIE Xiu-ming;WANG Hui-gan;YAN Si-liang;XUE Ke-min(School of Materials Science and Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
2021年第4期847-857,共11页
The Chinese Journal of Nonferrous Metals
基金
装备预研领域基金资助项目(61409230408)
航空科学基金资助项目(2017ZEP4003)
金属精密热加工国防科技重点实验室开放基金资助项目(201901SY008601)。
关键词
钛合金
电辅助
回弹预测
有限元模拟
titanium alloy
electrical assist
springback prediction
finite element simulation