ABSTRACT

Intelligent iron/steel manufacturing has been drawing increasing attention in recent years. Slagging is of importance for clean steel production in the ladle furnace (LF) refining process. In this study, a calculation model of slag-making materials was established based on the actual LF refining conditions, the metallurgical mechanism model and the production data model of the sulphur distribution ratio. In order to test the slag-making model, the data of 50 heats from historical production were examined by using the model; as a result, 49 heats successfully reached the target sulphur content when the error of the lime weight is within the range of ±40 kg. Meanwhile, plant trials were carried out to validate the slag-making model; the results demonstrated that 45 out of 48 tested heats successfully reached the required level of desulphurization by adding slag-making materials at one time.

摘要

近年来，智能钢铁制造受到越来越多的关注。造渣对于钢包炉 (LF) 精炼过程中的清洁钢生产非常重要。本研究根据实际LF精炼条件、冶金机理模型和硫分配比的生产数据模型，建立了造渣料计算模型。为检验造渣模型，利用该模型对历史生产50炉的数据进行了检验；结果，当石灰重量误差在±40 kg范围内时，49炉成功地达到目标硫含量。同时，进行了工厂试验以验证造渣模型；