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结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ... 
2011-02-28 174 5.8

对无取向硅钢炼钢全流程钢液增钛的原因进行了分析,认为铁水钛含量、转炉出钢温度、转炉下渣量、精炼渣TiO2含量、钢水罐及RH浸入管混钢种生产是影响钢液增钛的主要原因。通过采取低钛铁水冶炼,减少转炉下渣量,提高出钢温度,添加白灰改质精炼渣等措施,均能够降低钢液中的钛含量。 After analyzing the causes leading to increased content of titanium in molten nonoriented silicon steel during whole steelmaking process, it was concluded that such factors as content of titanium in hot metal, tapping temperature from converter, quantity of roughing slag entered into the ladle from converter, content of TiO2 in refining slag, molten steel ladle car,carrying out the steelmaking of different steel grades by the same ladle and same RH immersion tube were the main causes ... 
2022-01-28 177 5.8

对高牌号无取向电工钢35W300的成品进行了第二次退火,对第二次退火后的成品性能、纵横向磁性能差异和组织变化进行了分析。结果表明,随着第二次退火温度的升高,晶粒长大,磁性能优化。铁损平均值下降0.087 5W/kg,磁感平均值升高0.008T。第二次退火温度为820℃的产品的磁性能能够满足用户使用要求。 The product of high grade non-oriented electrical steel 35W300 was annealed at the second time.Microstructure,the difference of magnetic properties in the vertical and horizontal and were studied.The results show that the grain grew up and magnetic properties optimized with the increase of annealing temperature for the second time.Iron loss average declines in 0.0875 W/kg,magnetic induction average increases 0.008 T.The magnetic properties can meet the requirements of users at the second anneali... 
2013-04-28 169 5.8

本发明公开了一种自主学习的高硅钢软磁复合铁芯智能化生产系统及生产方法,属于软磁复合铁芯智能化生产技术领域。本发明的生产系统包括数据输入模块、数据分析模块、数据输出模块、通信模块、数据修正模块;生产方法为:用户通过输入模块选择目标性能参数及生产控制模式,系统生成生产过程关键参数,并由输出模块输出给用户;用户确认后形成控制指令,并发送至生产设备进行生产。本发明的系统不仅能够根据高硅钢铁芯产品的目标性能参数自动生成合理的操作条件,还能根据历史数据和产品检化结果对系统内置的关系模型不断进行优化、完善,能够有效提高产品产量和质量、减少浪费、降低成本。
2021-03-26 181 6.8

本发明提供了一种无取向硅钢RH顶枪喷粉脱硫工艺,RH脱碳结束测温定氧,立即加入铝粒脱氧合金化、之后立即依次连续加入合金进行成分调整,合金加完后立即开始顶枪喷粉;加入铝粒的量=铝粒理论加入量+0.2‑0.4kg/t钢;喷粉时,控制喷粉速度与钢液循环流量相匹配;本发明从真空条件下脱硫热力学和动力学角度出发对具有顶枪喷粉功能的RH脱硫工艺进行改进,提高脱硫率。
2021-11-30 163 6.8

研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B50逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad... 
2022-01-28 186 5.8

本文以热轧常化板为初始材料,采用二次冷轧法与三次冷轧法制备了0.1 mm厚的取向硅钢薄带,测定相应的磁性能,并通过EBSD取向成像技术检测了二次冷轧法与三次冷轧法各工艺过程中织构与组织演变规律。结果表明,采用最终冷轧压下率适中的三次冷轧法,能在冷轧至0.1 mm时保存较多的高斯晶核,使得高温退火后的磁性能明显优于二次冷轧法。最终冷轧压下率通过影响脱碳退火后样品中的{111}<112>织构组分及Goss晶粒数量对最终二次再结晶产生重要影响。 Grain-oriented silicon steel sheets with a thickness of 0. 1 mm were produced from hot-rolled and normalized sheets by two-step-rolling and three-step-rolling methods. Their magnetic properties were measured,and the textures were detected by EBSD technique. The results show that the three-step-rolling method,which has a moderate reduction rate of final cold rolling,can maintain more { 110} < 001 >nucleus,and thus obtaining better magnetic properties compared with the two-step-method. The f... 
2013-04-28 155 5.8

取向硅钢常化工序主要采用现场实测带钢温度的方式测定冷却速率,并通过稳定冷却水温、调整冷却水量及喷梁运行数量等方式保证合理的冷却速率,给常化工艺设计和生产带来诸多不便。通过对常化工艺水冷过程带钢的传热分析求解,在建立带钢水冷温度模型的基础上,研究了不同冷却工艺参数对带钢温度及冷却速率的影响规律以及冷却工艺的交互作用结果。结果表明:模型计算结果能够较好地反映取向硅钢在常化水冷过程中的温度及冷却速率的变化,其计算误差为0.80%~4.11%;在特定取向硅钢厚度规格和常化工艺下,随着常化冷却水量及有效冷却长度的增加,带钢水冷温度及冷却速率与呈非线性变化;常化水冷工艺主要通过调控带钢与冷却水之间热交换量和交换时间实现对带钢温度的控制,实际生产中需综合考虑机组速度、冷却水量及有效冷却长度之间的交互作用,选定喷梁投入数量和冷却水量以获得稳定的冷却速率。 The cooling rate of normalization process mainly determined by measuring the grain oriented silicon steel strip temperature on site, and ensures the cooling rate by stabilizing the cooling water temperature, adjusting the cooling water volume and the operation quantity of spray beam, which brings inconvenience to the normalization process design and production. Based on the heat transfer of strip in the water cooling section of normalization process, the water cooling temperature model for the n... 
2022-01-28 194 5.8

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