| 齿轮钢窄淬透性带控制技术 |
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| 引用本文： | 刘锟,刘浏,何平,崔京玉,李飞,包春林.齿轮钢窄淬透性带控制技术[J].钢铁,2015,50(3):73-77. |
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| 作者姓名： | 刘锟 刘浏 何平 崔京玉 李飞 包春林 |
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| 作者单位： | 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 |
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| 基金项目： | 北京市科委资助项目(D0404001040221) |
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| 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20CrMnTiH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%。
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| 关 键 词： | 齿轮钢 淬透性 增量神经网络 控制 |
| 收稿时间： | 2014-07-17 |
Investigation on control technology of narrow hardenability band for gear steel |
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| LIU Kun
,
LIU Liu
,
HE Ping
,
CUI Jing-yu
,
LI Fei
,
BAO Chun-lin.Investigation on control technology of narrow hardenability band for gear steel[J].Iron & Steel,2015,50(3):73-77. |
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| Authors: | LIU Kun LIU Liu HE Ping CUI Jing-yu LI Fei BAO Chun-lin |
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| Affiliation: | 1. Strip Technology Department， Shougang Research Institute of Technology， Beijing 100043， China 2. Metallurgical Process Department， Central Iron and Steel Research Institute， Beijing 100081， China |
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| Abstract: | 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 incremental 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. |
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| Keywords: | gear steel hardenability incremental neural network control |
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