钢厂
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 ...
稀土Ce对含Sn高磁感无取向电工钢磁性能及夹杂物的影响
研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce...
热轧组织对无取向硅钢织构的影响
采用X射线衍射仪分析无取向硅钢冷轧织构和再结晶退火织构的演化,研究了热轧组织对无取向硅钢织构以及磁性能的影响。结果表明,具有均匀、粗大晶粒组织的热轧板,冷轧形成更多的剪切带,导致成品板形成高的高斯织构组分,并提高了{100}织构强度,降低了γ纤维织构,最终导致成品磁感应强度升高,铁损下降。 The texture evolution of non-oriented silicon steel during cold-rolling and recrystallization annealing was investigated by X-ray diffractometer.The effects of hot band microstructure on the texture and magnetic properties of non-oriented silicon steel were analyzed.The results show that more shear bands appear during cold rolling due to homogeneous coarse grain in hot band.So strong{110}<001> texture after recrystallization annealing forms.At the same time,the {100} texture components inc...
硅钢CSP工程辊底式均热炉技术特点
介绍了硅钢CSP工程辊底式均热炉的技术特性,详细阐述了辊底式均热炉工艺特点。根据硅钢均热要求,通过采取不同烧嘴布置方法和燃烧控制技术,选用耐火纤维模块和绝热材料等相关技术措施,满足了出钢温度要求。 The technical specialty for roller hearth furnace of silicon steel CSP Plant was introduced,and the technology characteristics of the roller hearth furnace were illuminated in detail.According to the reheating require of the silicon steel,different burner arrangement and combustion control methods were applied,and technology measures such as selecting refractory fiber module and insulation material and so on were taken,the temperature requirement of silicon steel was met.
低温板坯加热取向3%硅钢热轧板的研究
研究的两种取向硅钢(%:No1-0.042C、3.16Si、0.009Al、0.07Mn、0.50Cu、0.015S、0.0084N和No2-0.040C、3.20Si、0.014Al、0.22Mn、0.49Cu、0.016S、0.008 2N)由50 kg真空感应炉冶炼,锻成(mm)350×120×35板坯,经1 250℃30 min加热,开轧温度1 100℃,5道次热轧成2.3 mm板,终轧温度950~1 000℃。实验结果表明,两热轧板沿板厚方向存在组织和织构的不均匀性,热轧板次表层为再结晶组织,有较强的Goss织构组分;中心层为形变组织,具有典型的形变织构。含0.22%Mn的No2钢次表层{110}〈001〉织构组分比含0.07%Mn的No1钢弱,中心层{001}〈110〉织构组分大大强于0.07%Mn No1钢,导致两者磁性能差异,0.22%Mn No2钢磁感应强度(B800)和铁损(P1.7/50)分别为1.87 T和1.24 W/kg,0.07%Mn No1钢分别为1.88 T和1.18 W/kg。 Studied both grain-oriented silicon steels(%:No1- 0.042C,3.16Si,0.009Al,0.07Mn,0.50Cu, 0.015S,0.0084N and No2-0.040C,3.20Si,0.014Al,0.22Mn,0.49Cu,0.016S,0.0082N) are melted by a 50 kg vacuum induction furnace,forged to(mm) 350×120×35 slab,heated at 1 250℃for 30 min,with beginning rolling temperature 1 100℃hot-rolled to 2.3 mm plate by 5 passes,finishing-rolled at 950~1000℃.Test results show that the structure and texture along thickness of both hot-rolled plates are inhomogeneous:the subsurface ...
取向硅钢中含铜抑制剂的固溶析出行为
含铜抑制剂作为取向硅钢的主抑制剂或辅助抑制剂不仅可以抑制初次晶粒的长大,促进二次再结晶,还可以降低铸坯的加热温度。取向硅钢中主要抑制剂为10~50 nm Cu2S,在钢的铸坯、热轧、冷轧、脱碳等工艺过程均可析出;(Cu,Mn)1.8S、Cu1.8S、ε-Cu等主要作为辅助抑制剂,尺寸一般为30~50 nm(或大于50 nm),主要在热轧阶段析出。总结了国内外有关取向硅钢中含铜抑制剂析出行为的研究进展,当前主要研究不同生产流程和工序中含铜抑制剂的析出行为和作用机理。 As main inhibitor or auxiliary inhibitor for grain-oriented silicon steel,the particles of inhibitor bearing copper not only inhibit the primary crystal growing and promote the secondary recrystallization,but also decrease the heat temperature of casting slab.The main inhibitor for grain-oriented silicon steel is 10~50 nm Cu2S,which precipitate in process and procedure including steel casting slab,hot rolling,cold rolling and decarburizing process,while the 30~50 nm or more than 50 nm...
提高硅钢退火炉耐材施工效率的几点经验
主要对硅钢退火炉耐材施工进行阐述,对一期工程与二期工程施工经验进行总结,包括设计、施工、耐材生产、人员素质等方面,指出了工程项目所所存在的不足,为同类型炉窑的施工提供借鉴。 This paper describes the construction of silicon steel annealing furnace refractories;and it was summarized the construction experience of phase-Ⅰ and phase-Ⅱ projects,including design,construction,refractory production,the quality of personnel etc,and pointed out the shortcomings of the project,which provided a reference for the construction of the same type of furnaces.
西昌钢钒200t RH生产无取向硅钢的工艺实践
对西昌钢钒炼钢厂200 t BOF(顶底复吹)-RH-CC工艺生产50PRW800无取向硅钢RH精炼过程中主要成份进行了分析。找出了目前工艺中影响钢液质量的主要因素是钢水脱氧处理不彻底,造成加入的部分硅元素烧损。操作工艺改为铝的脱氧即合金化操作一步完成,保证了钢水中氧处于一个较低的范围,从而减少对硅元素的烧损,提高合金收得率。 The factors of BOF-RH-CC process affecting the compositions of liquid steel were systematically investigated and studied of Xichang Steel and Vanadium Company. The main factors affecting the steel cleanliness were picked out. All results showed that the loss of silicon elements resulting from the deoxidization of liquid steel was not completely. It was suggested that the addition of aluminum for deoxidizing and alloying of molten steel was executed as one step in order to lower the oxygen potent...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...

