一种板形检测值处理方法的开发及应用

介绍了一种用于接触式分段板形仪的板形检测信号处理方法及处理流程．用该方法处理板形检测信号不需要计算带钢在板形仪上形成的包角．该法编制成程序后,作为一个模块被应用在一台可逆冷轧机的板形控制系统中．轧机投入运行后,生产稳定,并取得了良好的板形控制效果,平均板形偏差控制在5I以下,表明该方法是稳定、有效的,可以用于工业生产．     

参芪花粉片生产工艺改进探究

为了减少工艺流程、提高生产效率和产品质量,对参芪花粉片生产工艺的发酵法破壁和灭菌两个环节进行了研究与改进.采用75%的乙醇水溶液作为花粉破壁、制粒的润湿剂,同时又兼作灭菌剂,提出了采用有机溶剂加胶体磨的新工艺方法替代直接发酵法对花粉进行破壁.通过改进工艺,主要工艺由5步减少到4步,工时显著减少,灭菌效率显著提高,生产成本降低,产品的外观和品质得到了改善;并且新工艺可提高片剂的稳定性和有效成分的均匀度.     

基于多信息融合的双进双出磨煤机料位检测

针对双进双出磨煤机料位检测难题,提出了一种基于多信息数据融合的双进双出磨煤机料位检测方法.该方法将粗糙集（RST）和径向基（RBF）神经网络相结合,利用粗糙集数据简约和规则抽取特性,有效地去除大量冗余数据.利用RBF神经网络函数逼近能力更强和收敛速度更快等优点,引入带遗忘因子的梯度下降算法来整定RBF神经网络参数,简化了神经网络结构,提高了神经网络的学习效率,同时拥有自学习和容错能力,从而有效地保证了数据融合的快速收敛性和稳定性.实验结果表明,在料位检测过程中,将两种智能算法相结合所构成的融合系统,能使双进双出磨煤机准确地完成复杂环境的料位检测任务.     

Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution

Fault diagnosis of rolling mills, especially the main drive gearbox, is of great importance to the high quality products and long-term safe operation. However, the useful fault information is usually submerged in heavy background noise under the severe condition. Thereby, a novel method based on multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution is proposed for gearbox fault diagnosis in rolling mills. The emerging multiwavelets can seize the important signal proce...     

轧钢机用电刷的应用与选择

阐述轧钢机用电刷的特点及供电方式对直流电机换向的影响，分析了轧钢机用直流电机在使用过程中对电刷各项性能的要求，并确定对轧钢机用电刷各项性能的要求。结果表明：正确选择轧钢机用电刷是保障电机正常运转的重要因素。     

300棒材生产线精整区自动控制系统改造

针对300棒材机组半连轧生产线精整设备落后的问题,介绍其自动控制系统的改造方案。     

Geotechnical behavior of uranium mill tailings from Saskatchewan,Canada

This paper investigates the geotechnical behavior of uranium mill tailings from Saskatchewan, Canada.The 4% tailings were well-graded with 29% fines whereas the 5% and 6% tailings were gap-graded with 49% fines. All samples exhibited a negligible strength(0.4 k Pa) up to 60% solids, followed by a rapid increase. The 4% tailings exhibited a lower rate and amount of settlement than 5% and 6% tailings. The kidecreased from 10~(-2)to 10~(-4)m/s with a decrease in eifrom 16 to 4 and a decrease in ef from 8 to 4 such that 4% tailings showed one order of magnitude lower values than the 5% and 6%tailings. The settling potential decreased ten times(50%–5%) for 4% tailings and four times(60%–15%)for 5% and 6% tailings. The effective stress increased from 80 to 260 Pa in the settling tests. The 4%tailings were less prone to segregation when compared with 5% and 6% tailings. The average solids content after settling was 35% for 4% tailings, 40% for 5% tailings and 39% for 6% tailings with a solids content deviation of ±3%, ±8%, ±6%, respectively. All materials were essentially non-segregating at 40%initial solids.     

基于惩罚项的热连轧轧制规程多目标函数优化

为了解决传统热连轧负荷分配优化普遍采用约束方法进行求解时求解步骤繁琐、不容易获得最优解的问题,提出了一种惩罚函数算法.通过引入函数惩罚项,将多目标函数约束求解问题转化为无约束求解问题.建立了带有惩罚项的轧制力、板形、功率和温度的单目标函数,进而采用线性加权求和法建立了综合多目标函数.利用Nelder和Mead单纯形解法则进行求解,简化了求解的步骤,最终得到了兼顾轧制力平衡、板形最优及温度合理的负荷分配方案.实际应用效果表明,与传统负荷分配方式相比,基于多目标优化得到的轧制规程更符合实际生产要求,具有良好的应用前景.     

湿式陶瓷球磨机设计中经验数值选取的研究

湿式陶瓷球磨机是广泛用于生产陶瓷原料的细磨设备,根据多年陶瓷机械设计的实际经验,在保证生产效率的同时,为节约电能消耗、提高设备的可靠性和降低设备成本,对湿式陶瓷球磨机设计中主要技术参数选择、主要尺寸设计、传动方式选定和结构设计的经验数值选取进行了深入研究和归纳总结,以供参考。     

Algorithm design and application of novel GM-AGC based on mill stretch characteristic curve简

As the spring equation is limited to the accuracy of mill stiffness and the linearity of the mill spring curve, the traditional gaugemeter automatic gauge control （GM-AGC） system based on spring equation cannot meet the requirements of practical production. In allusion to this problem, a kind of novel GM-AGC system based on mill stretch characteristic curve was proposed. The error existing in calculating strip thickness by spring equation were analyzed first. And then the mill stretch characteristic curve which could effectively eliminate the influence of mill stiffness was described. The novel GM-AGC system has been applied successfully in a hot strip mill, the application results show that the thickness control precision is improved significantly, with the novel GM-AGC system, over 98.6% of the strip thickness deviation of 3.0 mm class can be controlled within the target tolerances of ±20 μm.