钢厂
冷轧连退硅钢线工程中SF炉电加热体的焊接技术
通过对连退线SF炉内的电加热体的焊接技术进行总结分析,得出焊接时应采用的主要方法,采用本焊接方法可提高电加热体的焊接速度和焊接质量,保证了焊接质量和施工工期。 SF furnace for continuous annealing line heating body welding technology summary,the main method used in welding,welding method by using the electric heater to improve the welding speed and welding quality through the implementation of this method to ensure the welding quality and Construction period.
铸坯热装温度对无取向硅钢中AlN和MnS析出行为的影响
通过固溶度积公式计算及热模拟实验,对不同热装和加热温度条件下的无取向硅钢铸坯中析出相进行了研究.在低于950℃热装时,铸坯中AlN的析出量和尺寸不再变化,但MnS和AlN-MnS的数量及平均尺寸随着热装温度降低而进一步增加,并在温度低于600℃时达到最大值后保持不变.与1200℃相比,1100℃加热的铸坯中AlN、MnS的总固溶量相对更少.相比850℃热装,600℃热装再加热到1100℃的铸坯中AlN和MnS的总固溶量更少,且AlN和MnS尺寸更大.合适的热装温度和加热温度分别为600℃和1100℃. Based on solubility product calculation and thermal simulation experiments,precipitated phases in continuous casting slabs of non-oriented silicon steel were systematically studied at different hot charging and heating temperatures.When the hot charging temperature is below 950 ℃,the content and size of AlN remain unchanged,but the quantity and size of MnS and AlN-MnS increase when the hot charging temperature decreases,reach maximum and remain unchanged when the hot charging temperature is belo...
脱碳温度和脱碳时间对CGO取向硅钢碳含量控制的试验研究
通过测试取向硅钢不同工艺条件下的碳含量,探讨了CGO取向硅钢碳含量控制的最优处理条件,研究了脱碳温度和脱碳时间对相同初始碳含量取向硅钢的脱碳效果的影响。结果表明,在气氛为(15%~20%)H2+(75%~80%)N2,炉压差为10~20 Pa的条件下,CGO取向硅钢合适的脱碳温度为1 073 K~1 123 K,脱碳时间为10~20 min。在该处理条件下,能取得较好的脱碳效果。 By means of testing carbon content of oriented silicon steel below the distinct technical conditions,inquires the excellent handle terms of carbon content controlling for CGO oriented silicon steel,studies effects of decarburization annealing temperature and decarburization annealing time to the oriented silicon steel decarburization efficiency in same initial carbon content.The results show that,under the condition of atmosphere(15% ~ 20%) H2+(75% ~ 80%)N2 and furnace pressure difference 10 ~ 2...
高性能取向硅钢的工业化生产研究
采用光学显微镜、X射线衍射仪等分析了宁波钢铁有限公司生产的取向硅钢不同工序下的组织及织构演变规律。结果表明:铸坯经过热轧后,沿着厚度方向组织不均匀;一次冷轧并经脱碳退火后,组织由条状纤维状变成等轴状的初次再结晶晶粒,初次再结晶平均晶粒尺寸为18.17μm,织构主要以α织构和γ织构为主;在二次冷轧后,晶粒再次被压缩,转变为纤维状,织构主要为γ织构;经过高温退火后,发生二次再结晶,晶粒异常长大,晶粒尺寸达到厘米级,织构成分为单一且锋锐的Goss织构。 The microstructure and texture evolution of oriented silicon steel produced by Ningbo Iron and Steel Co.,Ltd.were analyzed by optical microscope and X-ray diffraction.The results showed that the microstructure of the slab was inhomogenous along the thickness direction after hot rolling.After first cold rolling and decarburizing annealing,the microstructure changed from strip fibrous to equiaxed primary recrystallized grains,and the average grain size of the primary recrystallization microstructu...
纳米TiO_2轧制液对硅钢冷轧性能的影响
分别采用传统冷轧轧制液和纳米TiO2的冷轧轧制液,对无取向硅钢板进行了四辊冷轧实验.重点研究两种冷轧轧制液的轧制润滑性能和对轧后硅钢薄带表面质量和耐蚀性能的影响.通过场发射电子显微镜和能谱仪对使用两种轧制液轧后得到的硅钢薄带表面形貌和成分进行了分析.给出了轧制液中TiO2纳米粒子在轧制过程中的抗磨减摩机理.在轧制载荷较高时,纳米TiO2轧制液具有优良的轧制润滑性能并能显著改善轧后硅钢薄带的表面质量.同时在高载荷作用下,TiO2纳米粒子被压入硅钢薄带基体,形成一个滑动系来支撑载荷,从而使润滑膜的耐磨性提高. Non-oriented silicon steel strips were rolled on a four-high cold rolling mill lubricated by a traditional cold rolling liquid and a nano-TiO2 cold rolling liquid,with emphasis on studying the rolling lubrication performance of both the liquids and their effect on the surface quality and corrosion resisting property of the silicon steel strips.The surface micrograph and composition of the silicon steel strips after being rolled with both the liquids were characterized by field emissio...
常化温度对TSCR流程制备低碳低硅无取向硅钢组织和性能的影响
在实验室试制了TSCR流程的低碳低硅无取向硅钢,研究了在850～1050℃不同温度常化对冷轧量0.5mm厚钢板再经950℃×7min退火后的组织、织构和磁性能的影响。结果表明:随常化温度的升高,使热轧板晶粒尺寸增大,晶界更清晰,组织均匀性更好;由于第二相AlN和MnS析出物尺寸比较大,使冷轧退火后钢板晶粒也随常化温度升高呈单调增大趋势;γ有利织构和{111}、{112}不利织构与常化温度升高同时增强,但前者增强更多;冷轧板退火后铁损随常化温度升高呈单调下降,磁感呈单调上升趋势。 The low-carbon and low-silicon non-oriented silicon steel was prepared by thin slab casting and rolling(TSCR) in lab.The effect of normalizing at different temperatures in 850-1 050℃on microstructure, texture and magnetic properties of 0.5 mm cold-rolled sheets after annealing at 950℃for 7 min was researched. The results show that with increasing the normalizing temperature,the grain size of hot-rolled sheets increased,the grain boundaries were more clear and the rnicrostructure uniformity was b...
无取向硅钢中的夹杂物析出在线观察
借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ...
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
