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Q345GJB建筑结构钢拉延弯曲回弹退火算法预测研究

Research on Prediction of Drawing Bending Rebound Annealing Algorithm of Q345GJB Building Structural Steel
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摘要 随着高层建筑的崛起对结构钢的性能提出了更高的要求,结构钢弯曲回弹预测是加工关键环节之一。通过构建拉延弯曲回弹测试平台,测试不同圆辊半径下Q345GJB建筑结构钢回弹结果,并采用自适应模拟退火算法进行预测分析。研究结果表明:当弯曲半径保持不变时,提高张紧力后回弹角减小;当张紧力保持恒定时,随着弯曲半径增加回弹角持续减小。提高张紧力后形成了更小圆辊弯曲半径的结果,特征部位厚度和截面半径都呈现降低的变化趋势,进行屈服模型计算实现了Q345GJB拉伸-压缩-拉伸。双精度算法确定的屈服模型参数对于预测回弹过程表现出了更优性能,可以使预测误差由5.82°降低至0.5°。该研究有助于提高结构钢的冶金成型性能,为后续的参数优化奠定一定的理论基础。 With the rise of high-rise buildings,higher requirements are put forward for the performance of structural steel,and the prediction of flexural rebound of structural steel is one of the key links in processing.The drawing and bending springback test platform was constructed to test the springback results of Q345GJB building structural steel under different roll radius,and the adaptive simulated annealing algorithm was used for prediction analysis.The results show that when the bending radius remains unchanged,the rebound angle decreases with increasing the tension force.When the tension force remains constant,the rebound angle decreases continuously with the increase of bending radius.With the increase of tensioning force,the bending radius of the roller is smaller,and the thickness and section radius of the characteristic parts show a decreasing trend.The yield model of Q345GJB was calculated to achieve stretch-compression-stretch.The yield model parameters determined by the double precision algorithm show better performance in predicting the rebound process,and the prediction error can be reduced from 5.82°to 0.5°.This study is helpful to improve the metallurgical formability of structural steel and lay a theoretical foundation for the subsequent parameter optimization.
作者 董会丽 Dong Huili(Department of Civil Engineering,Henan Technical College Of Construction,Zhengzhou Henan 450003,China)
出处 《山西冶金》 2025年第3期66-67,70,共3页 Shanxi Metallurgy
关键词 Q345GJB结构钢 拉延弯曲 屈服准则 退火预测 Q345GJB structural steel drawing and bending yield criterion annealing predictionl
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