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CONTINUOUS IMPROVEMENT OF HOT METAL DESULPHURISATION AT TATA STEEL BOS NO.2 IJMUIDEN

机译:塔塔钢铁博士博士2号IJMUIDEN的热金属脱硫的持续改进

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Optimisation of the performance and reduction of the costs of hot metal desulphurisation at BOS No.2 IJmuiden, is an important subject of continuous improvement activities in which the following aspects of the process have been addressed. Inaccuracies are observed in the prediction of final sulphur levels. As a compensation desulphurisation reagents are added in excess. To improve the accuracy of the predicted final sulphur level, a 6-sigma analysis has been performed. As a result two root causes for scatter were identified and addressed. A dominant root cause was lack of trust in the process model by operators leading to deviation from optimal practise. A better explanation of the process model has led to closer conforming to its advice and less scatter in the final sulphur levels. Another source of scatter proved to be pick-up of slag in the hot metal samples. Improving the construction of the sampling devices and adjusting the sampling routine led to a reduction in rejections and re-treatments of the heat. The overall costs of hot metal desulphurisation could be reduced by optimising the sulphur levels over the entire steel production route. The introduction of steel desulphurisation in the ladle furnace allowed to increase charging of recycled hot metal skulls without compromising steel quality. The final step in hot metal desulphurisation is the removal of the slag layer by raking. This entrains hot metal causing yield loss. Furthermore, raking is time consuming and improper raking causes sulphur pick-up in the converter. The parameters affecting the amount of entrained hot metal and the time required for slag removal were studied with a l/4th scale model.
机译:在Bos No.2 Ijmuiden的优化性能和降低热金属脱硫成本的优化,是持续改进活动的重要课题,其中已经解决了以下过程的以下各个方面。在最终硫水平预测中观察到不准确性。作为补偿脱硫试剂以过量加入。为了提高预测的最终硫含量的准确性,已经进行了6-Σ分析。结果,鉴定了两种散射的根本原因并解决。主要的根本原因是经营者在过程模型中缺乏信任,导致偏离最佳实践。对过程模型的更好解释导致更靠近其建议和在最终硫水平的散射较少。另一种分散的来源被证明是热金属样品中的炉渣的接受。改善采样装置的结构并调节采样例程导致抑制和再处理热量的减少。通过优化整个钢铁生产路线的硫水平,可以降低热金属脱硫的总成本。钢炉中钢脱硫的引入允许增加再生热金属颅骨的充电,而不会损害钢质。热金属脱硫的最终步骤是通过耙子去除渣层。该夹带热金属导致产量损失。此外,耙次耗时,不正当地耙导致转换器中的硫取胶。利用L / 4尺度模型研究了影响夹带热金属量的参数和炉渣去除所需的时间。

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