锂电池极片轧机轧辊表面缺陷检测与识别

为了能准确的对锂电池极片轧机轧辐表面的缺陷类型做出检测,提出了一种基于图像处理的轧辐表面缺陷检测与识别方法。首先,针对轧辐表面缺陷进行了类别划分,并设计了相应的轧辐表面质量检测系统,实现图像的收集与提取;然后针对收集的轧辐表面图片,利用前景提取和图像增强实现初步的预处理;最后利用特征提取与特征归类的方法对经过预处理的图像进行缺陷归类。通过对40组轧辐缺陷样本进行试验测试,结果表明,轧辐表面缺陷检测的准确度达到90%,证明了该方法的精度和有效性,该方法能够有效鉴别轧辐表面的缺陷类型,对锂电池极片轧辐的维护有着指导作用。

高铬铸铁轧辊过渡层组织分析

通过分析高铬铸铁轧辊过渡层组织并研究其形成过程,期望能对过渡区冶金融合质量的控制提供一些帮助。

冷轧板表面线状缺陷分类解析

用扫描电镜微观分析、工业试验以及表检信息反查等手段,研究了冷轧板表面3类典型线状缺陷产生的原因,并提出了相应的控制措施。机清条纹缺陷主要表现为表面条带状亮带缺陷,产生根本原因来自机清凸棱顶部和根部的氧化铁皮,随轧制过程裹入基体,通过优化火焰清理工艺可得到解决;纵向条纹缺陷表现为等间距特征,产生根本原因来自冷轧轧辐磨削产生的磨削痕随着轧制进行复制到冷轧板表面,通过优化磨辐工艺可得到解决;卷渣类缺陷主要表现为沿轧向离散状起皮或破损形貌,产生根本原因来自连铸过程中保护渣的卷入,通过优化连铸过程参数可得到解决。

φ18 mnn热轧带肋钢筋三切分孔型优化及装备改进

针对石横特钢集团新疆昆玉棒材车间生产φ18 mm热轧带肋钢筋时,负差率控制困难、线差大、成材率偏低等问题进行了系统分析。对切分孔型进行优化,控轧设备进行改进,关键道次轧辐材质及工艺进行改进。负差率提升0.15%,成材率提升0.03%。

Effect of processing parameters on the electromagnetic radiation emission during plastic deformation and crack propagation in copper-zinc alloys

This paper presents some investigations on the effect of processing parameters on the emission of electromagnetic radiation （EMR） during plastic deformation and crack propagation in copper-zinc alloys. Timing of the EMR emissions, maximum stress during crack instability, stress-intensity factor, elastic strain energy release rate, maximum EMR amplitude, RMS value of EMR amplitude, EMR frequency and electromagnetic energy release rate were analysed for the effect of rolling directions at different percentage of zinc content in Cu-Zn alloy specimens. The same parameters were also analysed for 68-32 Cu-Zn alloy specimens at different annealing temperatures and at different angles 0, to the rolling direction. EMR emissions are observed to be highly anisotropic in nature. At θ=45° to 60°, marked changes in mechanical and electromagnetic parameters were observed. Specimens annealed at 500℃, just above the recrystallization temperature, and at 700℃, when grain-size growth is rapid, EMR responses have been found to have well-defined patterns.