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通过对辉光放电发射光谱法分析电工钢样品光谱行为的研究,分析其工作参数如:电压、电流、预溅射时间和积分时间对光谱强度和稳定性的影响,并以铁为内标元素,优化了工作参数。确定了直流辉光放电光谱法测定电工钢中碳、硅、锰、磷、硫、铬、镍、铜共8种元素的定量分析方法,并对该方法分析的精密度和准确度进行验证,结果表明,各元素的测定结果与认定值和其他方法测定值一致,测量元素结果RSD值小于2%。 Based on research on analyzing the spectrum behavior of the sample taken from the electrical steel by glow discharge optical emission spectrometry,the effect of its operational parameters such as current,voltage,pre-sputtering time and integrating time on the spectral intensity and spectral stability is analyzed.Taking the Fe as an element applied by internal standard method,these operational parameters are optimized,and therefore the quantitative analysis method for testing eight kinds of eleme... 
2011-01-28 164 5.8

【作者】 陶永根; ...
2011-04-28 146 5.8

通过Axio Imager金相显微镜考察4.5%~7.0%硅(质量分数)对高硅钢材料组织形貌的影响,并利用Fe-6.5%Si高硅钢薄板制备方法对其进行轧制,通过DDL50电子万能试验机对阶段产品进行力学性能测试。结果证明,硅含量为5.58%的高硅钢在实验硅含量区间内存在最大延伸率及最小铸态组织晶粒尺寸。 An investigation about the influence of 4.5%-7.0% Si on microstructure and mechanical properties of high-silicon steel was presented.SEM was adopted to take an observation towards microstructure during fabrication,and DDL50electronic universal testing machine was applied into the detection of tensile curves.The results show that silicon steel with 5.58% Si provides the maximum elongation and minimum grain size as cast. 
2023-05-09 181 5.8

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... 
2011-08-28 136 5.8

绝缘涂层可以有效提高硅钢片的耐蚀、耐腐、磁、绝缘等性能,因此取向硅钢涂装绝缘涂层是取向硅钢生产过程中重要的一环。本文对取向硅钢含铬无机绝缘涂层以及氮化铬涂层的性能优缺点进行了介绍,并对国内无机含铬取向硅钢绝缘涂层及氮化铬涂层的研究现状进行了综述。最后对未来含铬无机绝缘涂层的研发方向进行了展望。 Insulation coating can effectively improve the corrosion resistance of silicon steel sheet, such as corrosion, magnetic, insulation performance, thus oriented silicon steel insulation coating is the important part of oriented silicon steel production process. In this paper, the inorganic insulation coating oriented silicon steel containing chromium and chromium nitride coating performance advantages and disadvantages are introduced.In addition, the research status of insulation coating and chrom... 
2022-02-28 166 5.8

介绍了EB5325涂层液的主要性能和中冶新材生产冷轧无取向电工钢所用的涂层设备,通过多次试验摸索出使用EB5325涂层液的工艺,对涂层出现的缺陷进行分析研究,并提出解决方法,使中冶新材生产的冷轧无取向电工钢的涂层质量满足了用户的要求。 This article introduces the main properties of EB5325 and the coating equipments for cold-rolled non-oriented electrical steel. A process using EB5325 coating liquid is made through many time experiments and exploration. The appeared defects in the coating are studied and analyzed,and the solutions are proposed. The coating quality meets clients’ requirements of cold rolled non-oriented electrical steel. 
2014-01-28 156 5.8

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... 
2022-01-28 168 5.8

【作者】 彭志华; ...
2023-05-09 190 5.8

【作者】 李波; 杨晓江; ...
2014-03-28 108 5.8

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... 
2014-03-28 143 5.8

对低温法生产的以AlN为主抑制剂的Hi-B取向硅钢高温退火过程进行了中断实验,借助EBSD及TEM技术对高温退火连续升温过程中织构与析出物的演变进行了研究。实验结果表明,800℃时ODF图出现高斯织构组分,但强度很弱,高斯晶粒偏离角在10°以上;950~1 000℃时高斯晶粒异常长大,偏离角3~6°;高温退火过程析出物主要有球形、规则立方形及不规则多面体形3种形貌,由于渗N的影响,Zener因子先增大再减小,并且析出物在高斯晶界前沿优先粗化。 The annealing process at high temperature of Hi-B silicon steel using low slab reheat temperature and with AlN as the inhibitor has been studied by interrupting test,and the evolution of texture and precipitates during continuous heating-up in the annealing process at high temperature was analyzed by EBSD and TEM. The results showed that Goss texture appears in ODF at 800 ℃,but the intensity of Goss texture was very weak and the deviation angle was more than10°. Goss grains grow abnormally durin... 
2023-05-09 193 5.8

本文对某厂硅钢DR510温度、成分及过程控制水平和成品的组织、力学性能进行了研究,并在此基础上提出了工艺优化方案,有一定的借鉴和推广价值。 In this paper,the critical process and the products quality,including temperature,composition and process controlling level,the organization and mechanical properties of the finished product,were studied.On the basis of that the optimized technical plan provided,and this control technology is worth using and spreading. 
2012-05-28 143 5.8

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