钢厂
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp...
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...
本钢无取向硅钢热轧生产工艺路线的实践
冷轧无取向硅钢是高技术含量、高附加值产品,工艺复杂,生产周期长,过程控制难度大,被誉为钢铁产品中的\"工艺品\"。热轧生产工艺又是无取向硅钢生产的重中之重,直接决定了硅钢的铁损和电磁性等多项指标。 Cold rolled non-oriented silicon steel is high technology content 、high added value product. Its process is complex, its production cycle is of length, and its process control is difficult, which is known as the iron and steel products \" Arts and crafts\". Hot rolling production process is the top priority of non-oriented silicon steel, which directly determines iron loss of the silicon steel and electromagnetic property,as well as other many index.
电解清洗装置在电工钢生产线上的应用
介绍了电工钢生产线连退机组的表面处理工艺,特别是电解清洗系统的工作机理、设备构造、生产工艺及各种影响因素。 This paper introduces the technology of surface treatment of continuous annealing unit in electrical steel production line,in particular the working mechanism,structure of equipment,production techniques and various influence factors of the electrolytic cleaning system.
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...
退火温度对3.1%Si无取向硅钢组织织构与磁性能的影响
研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B50逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad...
