齿轮钢窄淬透性带控制技术  

Investigation on control technology of narrow hardenability band for gear steel

作　　者：刘锟[1] 刘浏[2] 何平[2] 崔京玉[1] 李飞[1] 包春林[1] 

机构地区：[1]首钢技术研究院薄板研究所,北京100043 [2]钢铁研究总院冶金工艺所,北京100081

出　　处：《钢铁》2015年第3期73-77,共5页Iron and Steel

基　　金：北京市科委资助项目(D0404001040221)

摘　　要：为提高齿轮钢淬透性带控制精度,优化了齿轮钢成分控制目标及精度要求,建立合金加料计算机控制模型和成分调整规则库,开发基于增量神经网络的齿轮钢淬透性预报模型,形成一套完整的齿轮钢窄淬透性带宽控制技术,并将该技术应用于20Cr Mn Ti H齿轮钢。研究结果表明,可实现窄淬透性带控制,J9和J15淬透性带宽不大于4HRC的比例分别达到93.3%和89.2%,不大于6HRC的比例分别达到99.3%和98.4%。In order to improve the control precision of narrow hardenability band for gear steel,the target values and their precision range of component control were determined,and the computer control model of alloy addition and the rule base of composition adjustment were established,and hardenability prediction models were developed on the basis of in-cremental neural network. These control technologies of narrow hardenability band for gear steel were applied for the gear steel of 20CrMnTiH,the results show the reasonable hardenability band was obtained,the ratios of hardenability band≤4HRC of J9 and J15 reached 93.3% and 89.2%,respectively,ratios of hardenability band ≤6HRC reached 99.3% and 98.4%,respectively.

关 键 词：齿轮钢 淬透性 增量神经网络 控制 

分 类 号：TG142.1[一般工业技术—材料科学与工程]