AN INVESTIGATION OF DEOXIDATION PROCESSES IN THE SMELTING OF RAIL-STEEL

本文结合生产,对鞍钢大型碱性平炉冶炼重轨钢的脱氧问题进行了试验。结果指出,在炉池内加脱氧剂进行预先脱氧的重轨成品含氧化物夹杂较少,尤以全部采用矽锰合金做炉池内脱氧剂的效果最佳,而在炉池内不加任何脱氧剂的重轨成品含氧化物夹杂量最多,后者往往超过前者一倍以上。重轨钢合硫一般达0.03—(0.04%,其中硫化物夹杂量与氧化物夹杂量相若,有时甚至达到后者的两倍。在这种情况下,决定钢的机械性能的主要因素是硫化物而不是氧化物,因此不同脱氧方法对重轨成品机械性能的影响不显著。在上述工作中,对重轨成品中氧化物夹杂的形状和大小也进行了分析,并指出在某些情况下铜液含氧量与铜成品中氧化物夹杂数量存在着相适应的关系。     

鼓泡床内气泡-液体两相湍流代数应力模型的数值模拟

现有的气泡 -液体两相流动的数值模拟中 ,或者不考虑湍流 ,或者仅仅考虑液体湍流 ,但是直接模拟和PIV测量结果都表明气泡由于尾迹的作用有强烈的湍流脉动 .本文首次推导和封闭了同时模拟气泡湍流脉动和液体湍流脉动的二阶矩输运方程两相湍流模型 ,并在此基础上建立了代数应力气泡 -液体两相湍流模型 .用代数应力模型模拟了二维矩形断面鼓泡床内气泡 -液体两相流动 .预报结果给出了气泡和液体两相速度场、两相Reynolds应力及湍动能分布和气泡体积分数分布 .模拟结果与PIV测量结果符合很好 ,表明了模型的合理性 .研究结果表明 ,原先静止的液体在气泡因浮力而产生的上升运动的作用下产生回流流动 ,而气泡则只有上升运动 .气泡速度始终大于液体速度 .在床内气泡湍流脉动确实始终很强烈 .液体则由于气泡的作用以及自身速度梯度产生的双重作用而发生湍流脉动 .气泡的脉动显著地大于液体的脉动 .两相湍流脉动都是各向异性的 ,而且气泡湍流脉动的各向异性比液体的更强烈     

Fuel combustion test in constant volume combustion chamber with built-in adaptor

Combustion tests of pre-mixture of methane and air in constant volume combustion chamber(CVCC) have been carried out by means of flame propagation photo and gas pressure measurement,the effects of CVCC body temperature,intake pressure of pre-mixture of methane and air,equivalence ratio and location of the built-in adaptor have been investigated.The whole combustion chamber can be divided into two parts,i.e.the upper combustion chamber and the lower combustion chamber,by the built-in adaptor with through hol...     

基于自动编码器的深度伪造图像检测方法

基于深度学习的图像伪造方法生成的图像肉眼难辨,一旦该技术被滥用于制作虚假图像和视频,可能会对国家政治、经济、文化造成严重的负面影响,也可能会对社会生活和个人隐私构成威胁。针对上述问题,提出了一种基于自动编码器的深度伪造Deepfake图像检测方法。首先,借助高斯滤波对图像进行预处理,提取高频信息作为模型输入;然后,利用自动编码器对图像进行特征提取,并在编码器中添加注意力机制模块以获取更好的分类效果;最后,通过消融实验证明,采用所提的预处理方法和添加注意力机制模块有助于伪造图像检测。实验结果表明,与ResNet50、Xception以及InceptionV3相比,所提方法在数据集样本量较小且包含的场景丰富时,可以有效检测多种生成方法所伪造的图像,其平均准确率可达97.10%,明显优于对比方法,且其泛化性能也明显优于对比方法。     

基于朴素贝叶斯算法的中文评论分类

针对中文评论分类问题,采用朴素贝叶斯算法进行深入研究.首先,根据中文评论分类的需求设计了朴素贝叶斯分类器;然后,使用WEKA以不同特征提取方式对其功能性进行了对比分析.通过一系列的实验数据的横向对比表明,在朴素贝叶斯分类器下采用集成特征选取时文本分类的准确率最佳,准确率达97.65％,验证了朴素贝叶斯分类器在处理中文评论分类问题的可应用性.     

AN INVESTIGATION ON THE EFFECT OF MANGANESE SPECIFICATION IN BASIC OPEN HEARTH PROCESS

本文结合生产研究了鞍钢碱性平爐冶炼重轨和无缝等碳素镇静钢的锰制度.研究结果指出:就上述鋼种而言,熔炼过程中的锰制度对钢中氧、硫含量以及轧制的成品質量並没有实际影响,换句话说,并没有必要规定熔池含锰量高於一定水平(>0.15—0.2%Mn).相反地,熔池含锰较高或在熔炼过程中加入锰铁均使降碳速度趋於缓慢,从而延长了熔炼时间.因此,只要高炉铁水中含硫量能够合乎规定,用低锰生铁作原料对炼钢並无害处.通过高爐生产数据分析,说明在鞍钢的操作条件下完全有可能生产含锰低而含硫合乎上述规定的铁水,应该认为用低锰生鉄冶炼重轨和无缝类型的优質鋼是切实可行的.     

ON THE IMPROVEMENT OF THE QUALITY OF BALL-BEARING STEEL L THE EFFECT OF SMELTING AND CASTING PRACTICE ON NON-METALLIC INCLUSIONS IN BALL-BEARING STEEL

本文是提高滚珠轴承钢质量研究工作的第一部分。研究了碱性电弧炉内不同脱氧制度和浇铸条件对于钢中非金属夹杂物类型和数量的影响设及冶炼和浇铸过程中夹杂物的变化。 试验结果指出,采用下列操作制度可以显著改善滚珠钢中非金属夹杂物: 扒氧化渣后用硅锰合金预脱氧,然后用电石直接造电石渣,保持40分钟以上,还原后期用硅铁粉或电石继续进行扩散脱氧,出钢前炉渣必须变白,采用先出渣后出钢的办法,使渣钢在盛钢桶内得到很好的混合,进一步改善钢中非金属夹杂物。加铝量应在0.5公斤/吨以上。 结果证实,使用焦油处理过的优质盛钢桶内衬砝和汤道砝可以减少外来夹杂物。钢中氮化钛的来源是铁合金中含钛,所以在冶炼优质滚珠钢时应该选用不含钛的铁合金。     

Compensation of hysteresis in piezoelectric actuator with iterative learning control

This paper presents the application of iterative learning control (ILC) to compensate hysteresis in a piezoelectric actuator. The proposed controller is a hybrid of proportional-integral-differential (PID) control, whose main function is for trajectory tracking, and a chatter-based ILC, whose main function is for hysteresis compensation. Stability analysis of the proposed ILC is presented, with the PID included in the dynamic of the piezoelectric actuator. The performance of the proposed controller is analysed through simulation and verified with experiment with a piezoelectric actuator.     

基于LASSO回归模型的网贷借款成功影响因素挖掘

随着P2P网络借贷交易量的增大,对P2P交易数据的挖掘和分析备受关注,其中一项重要的研究课题是网络借款成功率的影响因素分析.现有的文献多采用线性回归方法对该课题进行研究,但未考虑变量之间的多重共线性和采用最优变量子集建立回归模型的问题.本文采用Lasso回归方法,建立最优变量子集的回归模型对影响网络借款成功率的因素进行分析,避免了多重共线性问题对模型的干扰,同时提高了模型对数据的拟合精度.对Lending Club平台的借贷数据的实证分析结果显示,本文方法在模型的拟合精度和避免共线性方面优于对比方法.     

EXPERIMENTAL ESTIMATION OF A SCALING EXPONENT FOR TIP VORTEX CAVITATION VIA ITS INCEPTION TEST IN FULL- ANDMODEL-SHIP

Tip vortex cavitation noise of marine propeller became primary concerns to reduce hazardous environmental impacts from commercial ship or to keep the underwater surveillance of naval ships. The investigations of the tip vortex and its induced noise are normally conducted through the model test in a water cavitation tunnel. However the Reynolds number of model-test is much smaller than that of the full-scale, which subsequently results in the difference of tip vortex cavitation inception. Hence, the scaling law between model-and full-scales needs to be identified prior to the prediction and assessment of propeller noise in full scale. From previous researches, it is generally known that the incipient caivtation number of tip vortex can be represented as a power of the Reynolds number. However, the power exponent for scaling, which is the main focus of this research, has not been clearly studied yet. This paper deals with the estimation of scaling exponent based on tip vortex cavitation inception test in both full-and model-scale ships. Acoustical measurements as well as several kind of signal processing technique for an inception criterion suggest the scaling exponent as 0.30. The scaling value proposed in this study shows slight difference to the one of most recent research. Besides, extrapolation of model-ship noise measurement using the proposed one predicts the full-scale noise measurement with an acceptable discrepancy.