摘要
由于非对称截面的立边长度不同,辊弯成形过程中易出现扭曲缺陷。采用实验及有限元模拟相结合的方法,对非对称截面的辊弯成形进行研究。建立了超高强钢辊弯成形的有限元仿真模型,提出了通过倾斜前置轧辊来减轻V型非对称截面扭曲缺陷的方法,对前置轧辊倾斜角度的计算方法进行了探讨。结果表明:对于V型非对称截面的辊弯成形,倾斜前置轧辊改变了板材进入成形轧辊的状态,前置轧辊的倾斜角度φ=8.9°,扭曲角度减少40.9%,变形区纵向应变的峰值明显降低,且应变量减小;两侧立边所受的弯矩差值是引起扭曲缺陷的重要因素,倾斜前置轧辊使得板材两侧立边所受弯矩差值的大小和方向发生变化,合弯矩从0.18 N·m变为17.60 N·m,方向从转向短立边变为转向长立边,从而一定程度上抑制了扭曲缺陷。
The vertical edge length of asymmetrical section is different, and twist defect is easy to occur during the roll forming process. Therefore, the roll forming of asymmetric section was studied by combining the experiment and finite element simulation, and a finite element simulation model of ultra-high-strength steel roll forming was established. Then, a method of reducing the twist defect of V-shaped asymmetric section by tilting front roller was proposed, and the calculation method of tilt angle for front roller was discussed. The results show that for the roll forming of V-shaped asymmetrical section, the tilting front roller changes the state of the sheet entering the roller, the tilt angle of front roller is φ=8.9°, the twist angle reduces by 40.9%, the peak value of longitudinal strain in the deformation zone significantly reduces, and the strain amount decreases. In addition, the bending moment difference on both sides of vertical edges is an important factor causing twist defect, and the tilting front roller causes the magnitude and direction of the bending moment difference on both sides of vertical edges for sheet to change. The resultant bending moment changes from 0.18 N·m to 17.6 N·m, and the direction changes from turning to the short vertical edge to turning to the long vertical edge, thus suppressing the twist defect to a certain extent.
作者
李冲
韩飞
Li Chong;Han Fei(School of Mechanical and Materials Engineering,North China University of Technology,Beijing 100144,China)
出处
《锻压技术》
CAS
CSCD
北大核心
2023年第1期66-71,共6页
Forging & Stamping Technology
基金
北京市自然科学基金-市教委联合资助项目(KZ201910009011)
北京市属高校高水平教师队伍建设长城学者培养计划(CIT&TCD20190306)
北京市教委基本科研业务费项目(110052972027/024)
北方工业大学毓杰团队支持计划(107051360021XN083/001)
国家自然科学基金资助项目(51074204)。
