The lime-based slag system is generally applied to the treatment of pre-dephosphorization of molten iron, which mainly composed of CaO, FemOn, CaF2, etc. However, the CaF2 contained in the slag always results in the serious lining erosion and the environmental hazard caused by fluorine-containing dephosphorization by-product, which is not conducive to the comprehensive utilization of dephosphorization slag. The optimization design of dephosphorization slag system was carried out in the present study for the above problems. The effect of single factor (FeO, Na2CO3 and MnO content and basicity) on the dephosphorization of molten iron was investigated by Equilib modle in the FactSage calculation software. The main influencing factors such as FeO content, MnO content, Na2CO3 content, basicity and reaction temperature and the optimization design for the pre-melting dephosphorization slag composition were investigated by Box-Behnken modle in response surface methodology. A pre-mixing fluxing agent (Na2CO3 and MnO) was added to the CaO?SiO2?FeO slag system for dephosphorization pretreatment based on the single factor influence calculation. A multiple regression model to predict the dephosphorization rate of molten iron was established, the interaction of each factor and optimal composition of dephosphorization slag (CaO?SiO2?FeO?Na2CO3?MnO) were studied and optimized by variance analysis and response surface method, furthermore. The results showed that the calculated dephosphorization rate of molten iron was increased with the increasement of alkalinity, FeO content and flux content. The optimum dephosphorization conditions were 37.79% FeO, 6.24% Na2CO3, 9.89% MnO, with basicity of 4.50 and reaction temperature of 1387℃, the dephosphorization rate was 97.30% with relative error of 2.70%. The response surface methodology calculated result was in well accordance with experimental results of higher dephosphorization rate and can provide theoretical guidance for the industrial application of molten iron dephosphorization.
Shuangping YANG Zhengzhou JI Qishu WEI Jinkun PANG Chong WANG
. Optimization of composition of dephosphorization residue based on response surface methodology[J]. The Chinese Journal of Process Engineering, 2019
, 19(2)
: 354
-361
.
DOI: 10.12034/j.issn.1009-606X.218223
[1]付兵, 薛正良, 吴光亮, 等.铁水用-渣系脱砷研究[J].过程工程学报, 2010, 10(s1):146-149
[2]杨福, 毕学工, 周进东.助熔剂种类与配比对高磷铁水脱磷渣高温性能的影响[J].武汉科技大学学报, 2010, 33(5):482-485
[3]Mizukami H, Ishikawa M, Hirata T, et al.Dissolution Mechanism of Fluorine in Aqueous Solution from Fluorine Containing Synthetic Slag[J].Isij International, 2004, 44(3):623-629
[4]李杰, 乐可襄.用----熔剂进行铁水预处理脱磷的实验研究[J].安徽工业大学学报自科版, 2003, 20(3):177-180
[5]彭军, 王世俊, 刘丽霞, 董元篪.铁水预处理脱磷渣低氟化研究[J].特殊钢, 2009, 30(1):54-57
[6]Inoue R, Suito H.Mechanism of Dephosphorization with CaO-SiO2-FetO Slags Containing Mesoscopic Scale 2CaO SiO2 Particles[J].Isij International, 2006, 46(2):188-194
[7]郭上型, 董元篪, 陈二保, 张友平, 李桂荣.向基熔剂中添加, , 和对钢水回磷控制效果的影响[J].钢铁研究学报, 2001, 13(4):6-9
[8]曹战民, 宋晓艳, 乔芝郁.热力学模拟计算软件及其应用[J].稀有金属, 2008, 32(2):216-219
[9]张洪彪, 董凌燕, 陈登福, 等.高磷铁水脱磷的热力学分析及实验研究[J].过程工程学报, 2009, 9(s1):137-141
[10]王永菲, 王成国.响应面法的理论与应用[J].中央民族大学学报自然科学版, 2005, 14(3):236-240
[11]乐可襄, 董元篪, 王世俊.铁水预处理脱磷熔剂的研究[J].炼钢, 2001, 17(1):48-50
[12]徐颖, 李明利, 赵选民, 卢凤纪.响应曲面回归分析法——一种新的回归分析法在材料研究中的应用[J].稀有金属材料与工程, 2001, 30(6):428-432
[13]徐冉, 宋波, 毛璟红.钢渣体系熔化性能[J].北京科技大学学报, 2010, 32(11):1422-1427
[14]左君, 严丽君, 杨秀琴, 等.响应曲面法优化超细氧化亚铜光催化降解对硝基苯酚[J].北京科技大学学报, 2010, 32(8):1045-1052
[15]周越, 张利波, 彭金辉,等. 微波干燥锰碳合金球的响应曲面法优化[J]. 化学工程, 2012, 40(1):26-29.
