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作 者:王莹[1] 马晓力[2] 王强 WANG Ying;MA Xiao-li;WANG Qiang(He’nan Vocational and Technical College of Architecture,He’nan Zhengzhou 450000,China;Zhengzhou University,He’nan Zhengzhou 450000,China;He’nan Feigong Heavy Machinery Manufacturing Co.,Ltd.,He’nan Zhengzhou 450064,China)
机构地区:[1]河南建筑职业技术学院,河南郑州450000 [2]郑州大学,河南郑州450000 [3]河南飞工重型机械制造有限公司,河南郑州450064
出 处:《机械设计与制造》2024年第6期159-162,169,共5页Machinery Design & Manufacture
基 金:河南省高等学校重点科研项目(21B57001)。
摘 要:利用实时监测数据(Real-Time Monitoring Data,RMD)参数分析轧机振动状态,综合运用深度置信网络(Deep Belief Networks,DBN)与粒子群(Particle Swarm Optimization,PSO)算法构建轧机振动仿真模型,实现RMD参数的深度挖掘,并达到轧机振动的预报效果。通过融合处理能够获得非常接近实际振动过程的预测数据,具备优异预测能力。结合现场测试的初始数据预测误差在3.5%范围内,跟轧机振动情况相符。当轧制速率变慢后,振动加速度出现了降低结果;入口张力对轧机的振动加速度具有反向作用;轧机振动加速度相对出口张力表现为正相关特点;以不同宽度的轧件进行测试发现轧机振动加速度保持基本恒定的状态。该研究对提高热轧轧机运行稳定性,对保证建筑结构钢板成形精度具有很好的指导意义,可以拓宽到其它的成形设备优化领域。Real-Time Monitoring Data(RMD)was used to analyze mill vibration state.The Deep Belief Networks(DBN)and Particle Swarm Optimization(PSO)algorithms are used to construct a simulation model of rolling mill vibration to realize the Deep mining of RMD parameters and achieve the prediction effect of rolling mill vibration.Through fusion processing,the predic-tion data which is very close to the actual vibration process can be obtained,and it has excellent prediction ability.The prediction error of the initial data combined with the field test is within 3.5%,which is consistent with the rolling mill vibration.When the rolling rate slows down,the vibration acceleration decreases.The inlet tension has a reverse effect on the vibration acceleration of the rolling mill.The vibration acceleration of the rolling mill is positively correlated with the outlet tension.It is found that the vi-bration acceleration of the rolling mill is basically constant when the rolling parts of different widths are tested.The research has a good guiding significance for improving the running stability of hot rolling mill and ensuring the forming accuracy of building structural steel plate,and can be extended to other forming equipment optimization fields.
关 键 词:热轧 钢板 轧机振动 振动预报 DBN算法 PSO算法
分 类 号:TH16[机械工程—机械制造及自动化] TG335[金属学及工艺—金属压力加工]
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