钢厂
新型无取向电工钢在退火过程中组织和织构取向的演变
通过金相分析和电子背散射衍射技术研究了一种新型含铜无取向电工钢在950℃退火不同时间(3～180s)空冷后的组织和织构取向的演变。结果表明:该钢在退火3s时的主要织构为α和γ线织构,{100}<110>织构最强;退火20s时织构以<111><112>、{111}<110>、{112}<110>、高斯织构和立方织构为主,随着退火时间的延长,高斯织构和立方织构强度呈减弱趋势;合理控制保温时间有利于提高{100}、{110}面织构的占有率。 Evolution of microstructure and texture oriented of a new non-oriented electrical steel during annealing at 950℃for different times(3-180) s and air cooling was studied by metallography and electron back-scattering diffraction analysis.The results show that after annealing for 3 s most of the texture oriented alongα-fibre andγ-fibre,the intensity of {100}〈110〉was the strongest.{111}〈112〉,{111}〈110〉,{112}〈110〉,Gauss texture and cube texture were the main texture after annealing for 20 s,with the ...
融入结构张量和活动轮廓的硅钢表面缺陷分割
为了解决在纹理背景下冷轧硅钢表面缺陷的分割问题,提出了基于局部信息结构张量和活动轮廓模型的硅钢表面缺陷分割方法。将图像的局部信息引入到结构张量中;在结构张量提取的特征空间中,以KL距离作为区域的概率密度相似性度量建立分割图像的活动轮廓模型;采用Split-Bregman数值解法对模型进行求解。运用提出的分割方法对硅钢表面的一些常见缺陷如纵向划伤、横向划伤、异物和孔洞等进行分割实验。实验结果表明,该方法可以准确地分割出硅钢表面缺陷区域,验证了该方法的有效性。 In order to address the segmentation problem for cold rolled silicon steel surface defect based on the texture background,a novel method based on structure tensor and active contour model is proposed.Image local information is introduced to the structure tensor.In the extracted feature space of structure tensor,KL distance is treated as a regional similarity measure of the probability density to establish active contour model for image segmentation.The numerical solution of Split-Bregman is used...
冲剪加工对无取向硅钢边缘组织和磁性能的影响
通过观察冲剪边缘组织,测量冲剪边缘的显微硬度、残余应力的分布情况和磁性能的变化研究了冲剪加工对无取向硅钢50WW800边缘组织和磁性能的影响。对冲剪后硅钢片进行750℃退火,分析退火对组织和磁性能的影响。结果表明,硅钢片剪切边缘会存在0.4 mm的形变硬化层,边缘应力大,铁损增加。退火后变形减小,形变硬化层变小,残余应力大幅度减少,铁损减少。 The influence of punching process on cutting edge microstructure and magnetic properties of non-oriented silicon steel 50WW800was studied by observing microstructure and measuring microhardness near cutting edge.The residual stress distribution in the silicon steel tooth and magnetic properties were measured.Effect of annealing at 750 ℃ on microstructure and magnetic properties of the silicon steel was analyzed.The results show that a cut-edge hardening layer up to 0.4 mm is observed,residual st...
无取向电工钢表面线状缺陷的影响因素分析
结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源，采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明：稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣，主要类型为Al2O3、MgO-Al2O3、CaO-Al2O3-MgO和CaO-Al2O3-SiO2。非稳态浇铸过程钢水洁净度明显降低，热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w（CaO）/w（Al2O3）、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def...
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...
硅钢脱硫影响因素分析研究
对RH法(真空循环脱气法)生产的冷轧硅钢的脱硫原理及影响因素进行了分析研究。研究表明:降低顶渣中FeO、MnO的含量,提高钢液温度,增加脱硫剂的加入量并延长其循环时间有利于提高脱硫效率。 The principles of desulfurization and its influence factors of cold rolling silicon steel during RH process have been studied in this paper.The result indicated that reducing contents of FeO and MnO,rising temperature of the liquid steel,increasing quantity of desulfurizer,lengthening cycle time of desulfurzer are benefit for desulfurization.
