摘要
介绍了洁净钢中Al2O3夹杂物预测模型的开发原理。依托PDA直读光谱仪,建立低碳铝镇静钢中Al2O3夹杂物含量和粒度预测模型。将模型应用在IF钢冶炼过程中,结果表明该预测模型具有一定的准确性,对IF钢生产具有一定的指导意义,同时对开发其它类型钢中夹杂物预测模型提供了理论雏形。
The present article introduces the principle of the forecast modeling for alumina inclusion in clean steel. A forecast model is built for forecasting the content and granularity of the alumina inclusions on the basis of PDA electro-optical direct reading spectrometer, and the newly developed model is applied to IF steel refining. Results show that the model in possession of considerable accuracy is of greater significance in guiding the production of the IF steel. In the meanwhile it offers theoretical basis for development of the inclusion forecast model of the similar kind.
出处
《炼钢》
CAS
北大核心
2010年第4期43-45,49,共4页
Steelmaking
关键词
夹杂物
直读光谱
脉冲
IF钢
inclusion
electro-optical direct reading spectrum
pulse
IF steel
