单 位：
江苏大学机械工程学院;江苏大学电气信息工程学院;攀枝花钢铁(集团)公司
关键词：
激光拼焊板;焊缝形状预测;晶粒尺寸预测;首尾控制法;偏最小二乘回归
摘 要：
针对St12、St16深冲钢激光拼焊板的焊接温度场分布对焊缝形状影响较大的问题,在分析试验钢板温度相关性、熔化潜热、对流及辐射对激光焊接温度场影响规律的基础上,建立了焊缝形状预测模型。在模型节点选取时提出了首尾节点控制法,使焊接温度场模拟时的节点选取具有更高精度,所得预测焊缝形状与实际焊缝形状吻合度高。提出了一种基于偏最小二乘回归(PLS)的焊缝及其热影响区晶粒尺寸预测模型。焊缝及其热影响区晶粒尺寸的预测精度均达95%,充分表明该模型与工艺试验结果吻合良好,验证了该预测模型的合理性及适用性。
译 名：
Weld Shapes Prediction and Grain Size Prediction of Deep-drawing Laser Tailor-welded Blank
作 者：
Li Xincheng1 Feng Xiaotian1 Zhu Weixing2 Chen Wei1 Li Dadong3(1.School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China2.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China3.Panzhihua Iron & Steel Group,Panzhihua 617000,China)
关键词：
Laser tailor-welded blank,Weld shapes prediction,Grain size prediction,First and last nodes control method,PLS
摘 要：
The weld shapes of St12 and St16 deep-drawing steels were influenced by transient temperature distributions.Based on the influence of temperature dependence,latent heat of fusion,convection and radiation,the weld shapes prediction model was built.Additionally,the first and last nodes control method was used in heat loading in order to make sure all nodes could be selected.Experimental results showed that there were no significant differences between the predictive and actual weld shapes.Furthermore,multiple regression prediction models of grain size in weld and heat affected zone(HAZ) were put forward based on PLS.The prediction accuracy of grain size in weld and HAZ was above 95%.Therefore,the proposed models are reasonable and applicable to examine deep-drawing steel for demonstrative purposes.
