不锈钢管弯曲成形回弹预测研究

Springback Prediction on Tube Bending Forming of Stainless Steel

使用有限元分析软件ABAQUS,建立了有效的不锈钢管材弯曲回弹有限元仿真模型,运用虚拟正交试验方法,研究了弯曲角度、直径、壁厚、助推速度以及弯曲模与管壁之间的摩擦系数,对弯曲回弹的影响,最后分别用线性回归和神经网络,建立回弹角度与上述参数间的定量关系。结果表明,回弹角随着弯曲角度的增大而增大,且呈现出明显的线性关系;与回弹角度相比,直径、壁厚、助推速度以及摩擦系数对回弹角的影响较小;神经网络更能准确地对回弹角与上述参数间的关系进行预测。

FEM software is used to build an ef-fective simulation model on springback of stainless steel tube bending forming.The virtual orthogonal experiment method was used to research the fac-tors those influence the springback,such as ben- ding angle,diameter,tube thickness,assistant ve-locity and friction factor between bending die and outboard of tube.Then,linear regression analysis and artificial neural networks were employed to es-tablish the mathematic relationship between spri-ngback angle and those factors.The results proved that springback angle is linear increase along with increase of bending angle obviously,compared with this,others have weekly influence;artificial neural networks was more precision.