论文

利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O... 

【机构】 宝山钢铁股份有限公司规划与科技部； ...

研究了应用电感耦合等离子体质谱(ICP-MS)同时测定硅钢中痕量铝、钼、钒、钛、铌元素的分析方法。通过条件试验对测量参数进行了优化,确定RF功率1 400 W,泵速30rpm,采样深度140,雾化压力0.90。样品采用硝酸分解,以Be、Y混合内标校正了测量过程中高基体引起的信号漂移。根据测量时存在的质谱干扰情况,选择同位素27 Al、98 Mo、51 V、47 Ti和93 Nb作为测定同位素,同时通过调节仪器参数使得双电荷离子和氧化物离子的产率最低,以减少其带来的干扰。采用基体匹配法配制校准溶液,以标准加入法建立工作曲线,并扣除试剂空白。该方法各元素的测定下限均可达到1μg/g。用于硅钢标准样品的测定,所得结果与参考值完全吻合,各元素的RSD小于5.2%。 A method for the determination of trace aluminum,molybdenum,vanadium,titanium and niobium in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was described.A series of single parameter condition experiment was conducted.The optimized operation parameters with RF power 1 400 W,turbo pump rate 30 rpm,sampling depth 140 and nebulizer pressure 0.90 were obtained.The samples were dissolved by HNO3,and the Be and Y mixing internal standard were used to eliminate the signal drift c... 

研究了采用高温卷取热轧态原料和常化态原料生产高牌号冷轧无取向电工钢组织、织构和磁性能。研究发现钢卷采用750℃高温卷取,下线后立即采用\"保温罩\"对钢卷进行保温,时间96h,然后空冷至100℃时上线生产的工艺可取代常化工艺生产高牌号冷轧无取向电工钢。冷轧上线前,热轧态原料的表层为大量的再结晶组织,这部分组织包括了热轧轧制时保留下来的动态再结晶组织,钢卷本身高温回复后产生再结晶晶粒,以及在保温罩内保温时形成的再结晶组织。高温卷取的热轧态和常化态的热轧卷作为原料时,试样织构类型相似,取向分布密度接近,再结晶后织构类型仍然相似,取向分布密度仍然接近。Goss织构对磁性能增加有促进作用。实验钢中较好的磁性能对应的织构[{100}+Goss]/{111}的比值较高,体现了织构的遗传性。 Microstructure,texture and magnetic properties of high grade cold rolled nonoriented electrical steel which made of hot rolled material with high temperature coiling and with normalization were studied.Steels coiled in high temperature(at 750 ℃),stacked with insulation cover for 96hand air cooled to 100 ℃ were using to manufacture high grade nonoriented electrical steel.The process can replace the normalization process.There are a lot of recrystallized grains in the surface layer of the coil wit... 

某厂对电工钢的轧制策略进行了优化，粗轧道次由“1+5”改为“1+3”。在优化后的生产过程中，每次变换钢种，烫辊材就会出现窄尺现象，而紧随其后的电工钢板则出现超宽现象。文中针对该问题，介绍了宽度设定模型和宽度自适应模型的原理，阐述了该问题出现的原因及解决方案，并通过对宽度自适应模型的应用研究及优化攻关，有效地解决了问题，大幅提升了实物质量，降低了宽度封锁率。 The rolling strategy of electrical steel was optimized in a factory,and the rough rolling pass was changed from “1+5”to“1+3”.Subsequently,the following problems were occurred in the production process:when the steel grade changed,the roasting roller steel before the electrical steel appeared the narrow width phenomenon,and then the electrical steel appeared the ultra-wide phenomenon.This paper introduced the principle of width setting model and width adaptive model,and expounded the causes and s... 

提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s... 

利用热模拟试验机、光学显微镜和X射线衍射仪对Fe-3.2%Si低温取向硅钢热轧工艺参数对组织及织构的影响进行了研究。结果表明,Fe-3.2%Si硅钢在1110℃粗轧、880℃终轧,轧后以10℃/s的速度冷却到550℃卷取,然后空冷到室温,热轧硅钢板沿板厚方向的显微组织不均匀性显著,对后续发展完善的二次再结晶有重要作用。无论是热轧板,常化板还是冷轧板,它们的织构集中分布在γ取向线上,γ取向线的织构除取向密度不同外,织构种类是一致的,这说明γ取向线上织构是有继承性的。从热轧到常化,织构取向密度显著减小,经二次冷轧后,织构密度又显著升高,可见,轧制变形有助于织构的形成并使织构强度升高。 The influence of hot-rolled process parameters on the microstructure and texture of Fe-3.2%Si low temperature hot rolled grain-oriented silicon steel were researched by hot simulation experiment machine,light microscope and X-ray diffractometer.The results show that,Fe-3.2%Si silicon steel is rolled by the technology with a temperature of rough rolling of1110℃,finish rolling of 880℃,coiling with the speed of 10℃ /s,and then cooled to room temperature with air.The microstructure of hot-rolled sil... 

研究了CSP工艺生产≤0.005%C-1.1%Si的2.2mm无取向电工钢热轧板在800～1000℃常化对0.5mm冷轧板840℃退火后组织和磁性能的影响。结果表明,热轧板常化温度升高,冷轧板退火后的再结晶晶粒增大,铁损降低,磁感增加;热轧板常化温度超过900℃,因第二相固溶而后弥散析出,退火后冷轧晶粒细化,铁损增加,因此该无取向电工钢热轧板最佳常化温度为900℃。 The effect of normalizing at 800-1000℃ of CSP produced plate(≤0.005%C-1.1%Si) on the microstructure and magnetic properties of downstream cold-rolled non-oriented electrical steel annealed at 840℃ was studied.Results show that with increasing normalizing temperature of hot-rolled material the recrystallized grain size of annealed sheet increases,iron loss reduced and magnetic induction increases.As normalizing temperature excesses 900℃,grain is refined and iron loss increases after annealing due... 

借助光学显微镜、扫描电镜、交流磁性能测量仪和万能拉伸试验机研究了0.3 mm厚高强无取向电工钢冷轧板在780、820、860和900℃退火保温2 min后的组织、织构和性能。结果表明:在退火温度范围内,试验钢均发生了完全再结晶,得到等轴状的铁素体晶粒;随着退火温度的升高,平均晶粒尺寸从9.2μm增长到41.3μm,工频铁损和400 Hz高频铁损均先大幅减小后趋于平缓,磁感应强度先升高后降低。在820℃退火时,铁损P_1.5/50=5.51 W/kg,P_1.0/400=33.22 W/kg均处于较低值,磁感应强度B₅₀₀₀最大,为1.649 T。试验钢的屈服强度和抗拉强度均随退火温度的升高而降低,780℃退火时屈服强度为496 MPa, 900℃退火时降低至407 MPa。综合磁性能和力学性能考虑,试验钢的最佳退火温度是820℃。 Microstructure, texture and properties of 0.3 mm thick high strength non-oriented electrical steel cold rolled sheet annealed at 780 ℃, 820 ℃, 860 ℃ and 900 ℃ for 2 min were studied by means of optical microscope, scanning electron microscopy, AC magnetic property tester and universal tensile testing machine. The results show that in the annealing temperature range, complete recrystallization of the experimental steel occurs and equiaxed ferrite grains are obtained. With the increase of annealin... 

针对目前大部分无取向电工钢处理液为含铬处理液、且需在较高温度下固化的情况,在分析成膜物质性质的基础上,试验研究了一种可低温快速固化的电工钢环保绝缘处理液,研究了其涂装工艺,并测定了涂层的附着性、绝缘性、耐热性、耐蚀性等性能。试验结果表明:该处理液可在150~250℃下快速烘干固化,涂层表面光滑且致密均匀,性能优良,可满足中小电机的使用要求。 At present,most of the insulating fluid for non-oriented electrical steel contains chromium,and should be cured at high temperature.On the basis of analyzing the characteristics of the film-forming substance,a kind of eco-friendly insulating fluid with lower curing temperature for non-oriented electrical steel sheet was developed in the experiments.Then its coating process was studied,and the adhesiveness,insulativity,heat resistance,corrosion resistance and other properties of the coating was m... 

介绍了普通取向硅钢(CGO)和高磁感取向硅钢(Hi-B)铸坯高温加热两次冷轧、一次冷轧和铸坯低温加热两次冷轧、一次冷轧法4种成熟生产工艺的主要技术参数,取向硅钢理论研究(Goss晶核和抑制剂)和生产技术现状。取向钢的发展趋势为:提高(110)[001]晶粒取向度,降低取向硅钢铁损,发展铸坯低温加热(≤1 300℃)和薄板坯连铸连轧流程生产取向硅钢工艺。 Main technology parameters of four developed process:cast bloom higher temperature heating-double cold rolling or single cold rolling,lower temperature heating-double cold rolling or single rolling process for production of common grain oriented silicon steel(CGO) and high magnetic induction grain oriented silicon steel(Hi-B),theory research on grain oriented steel(Goss nucleus and inhibitor) and present situation of process are summarized in this paper.The development trend of grain oriented si... 

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the...