提升机启动操作中制动油泵软性停转的分析与排除

同一个多功能集控器件长期使用后，其不同故障程度对应有不同故障现象，为了加快现场技术管理人员对提升机疑难故障的有效排除进度，着重分析了制动油泵停转的控制通道，根据提升机启动操作中制动油泵停转后的排查处理结果，圈定了故障范围为变频控制器件。制动油泵在提升机启动操作中停转的不确定性，查找故障时整机电控系统处于非故障状态，接近更换变频主控板D6时启动提升机操作中制动油泵软性停转次数有所增多、启动中无发生制动油泵停转的全程提升未见异常，上述因素使制动油泵软性停转成为疑难杂症。故障现象恶化为每次操作至制动手把推向松闸位置制动油泵均停转，用梯形图确定D6故障是症结所在。对D6的自身故障精确定位功能且在变频控制柜人机界面RJ2显示故障信息认识不足，导致故障长时存在。此副井提升机有关人员应做到:对故障反映到位、深刻了解器件性能特征、透析有关动作过程后方可采取针对性措施、确定故障元件、最终排除故障。可恢复性的轻故障发生后必须采取相应措施，避免故障扩大导致停机延误提升。将变频就绪与故障的实时信息显示于司控台面，弥补了技改缺陷。     

A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis

Information Systems and e-Business Management - An increasing number of people use social media to share their consumption experiences. Publicly available online reviews have become a significant...     

大学化学课程混合式教学模式的实践

大学化学课程教学是非化学化工专业人才培养的重要环节,课程教学的不断完善是提升高等教育质量的关键。大学化学课程教学实践证明,采用混合式教学模式能够融合信息化教育与传统教育的优势,真正践行以学生为中心的现代教育理念,有助于培养学生能力和提高教学质量。     

基于ASOS-ELM的湿式球磨机负荷软测量方法

针对湿式球磨机在磨矿过程中内部负荷靠专家经验难以准确预测的问题,提出一种基于改进的共生生物搜索(ameliorated symbiotic organisms search,简称ASOS)-极限学习机(extreme learning machine,简称ELM)的磨机负荷软测量方法。首先,利用ELM算法建立磨机负荷软测量模型,运用ASOS算法优化软测量模型的隐含层参数;其次,以筒体振动与振声信号的特征信息构建磨机负荷特征向量,并将其作为软测量模型的输入,将磨机负荷参数作为输出;最后,通过磨矿负荷检测实验和对比分析表明,磨机负荷软测量模型的负荷参数预测准确率较高,泛化能力较强,为磨机磨矿效率的提高及控制优化提供了有益的指导。     

Effect of Temperature and Strain Rate on the Hot Deformation Behaviour of Ferritic Stainless Steel

Metals and Materials International - The flow behaviour and microstructure characteristics of a ferritic stainless steel were investigated using plain strain compression test on a Gleeble 3500...     

和睦山选厂入磨磁铁矿石预选试验

姑山矿和睦山选矿厂入磨磁铁矿石（20～0 mm）中存在大量废石，导致选矿生产效率低、生产成本高、尾矿库压力大、影响最终精矿品质的提升。为解决这些问题，对入磨铁矿石分别采用XGD65 50吸出辊带式干选机和ZCLA560 500选矿机进行了干式预选和湿式预选试验研究。结果表明：入磨磁铁矿石采用干式预选可抛除产率达15.94%的尾矿，抛尾全铁品位8.68%，尾矿磁性铁品位1.20%，预选精矿较原矿全铁品位提高了4.48个百分点。入磨磁铁矿石采用湿式预选可抛除产率达21.34%的尾矿，抛尾全铁品位8.89%，预选精矿较原矿全铁品位提高了6.74个百分点。预先抛尾减少了入磨矿石量，提高了后续作业的入选铁品位，有利于降低能耗、提高流程处理能力，为选矿流程的技术改造提供了依据。     

Structure,properties, and applications of polyacrylonitrile/carbon nanotube (CNT) fibers at low CNT loading

Bi-component, polyacrylonitrile (PAN)/carbon nanotube (CNT) fibers were processed, at different core-sheath area ratios, by gel spinning. A percolated CNT network at 10 wt% CNT in the sheath enhanced electrical conductivity as compared to the neat PAN fiber, while PAN polymer in the core contributed to the good mechanical properties. Fibers with relatively thin sheath allowed overall CNT loading as low as 3.7 wt% to be made with good electrical conductivity, and PAN stabilization by Joule heating was demonstrated. Such fibers with combined good mechanical properties and electrical conductivity can also potentially be used for electrical heating of fabrics, for making smart textiles, and for electromagnetic interference shielding.     

Determination of Metastable Zone Width and Nucleation Induction Period of Palm Oil and its Olein/Stearin in Melting Layer Crystallization

Measurement methods of metastable zone width (MZW) and nucleation induction time for melting layer crystallization of palm oil (PO) and its olein/stearin (POL/PST) were established, and the effects of cooling rate (corresponding to various supercoolings) on MZWs and induction time for melting layer crystallization of PO, POL, and PST were determined. The results indicated that the MZW coherently rose with increasing cooling rates with respect to PO and POL, while it declined with higher cooling rates for PST. The induction period results demonstrated that the nucleation induction periods of PO, PST, and POL decreased with increasing supercoolings, and the lag time for nucleation negatively correlated to the melting point of oils at the same supercooling. These data could offer significant instruction in designing and controlling the melting layer crystallization process for palm oil.     

Ti-48Al-2Nb-2Cr合金热变形行为及本构关系研究

采用Gleeble-1500热力模拟机对铸态Ti-48Al-2Nb-2Cr合金进行高温变形热压缩试验,变形温度范围为1050~1200℃,应变速率范围为0.001~0.1s^-1,压缩变形量为60%。研究该合金高温变形温度和应变速率与流变应力之间的关系,计算了合金激活能,并建立了Ti-48Al-2Nb-2Cr合金的Arrhenius本构模型和多元线性回归的本构模型。结果表明,该合金的激活能随温度升高和应变速率增大而增大;Arrhenius本构模型的相关系数为0.98228,平均相对误差为9.97%,相对误差在10%以内的点只占62.0%;而采用多元线性回归本构模型的相关系数为0.99566,平均相对误差为4.76%,相对误差在10%以内的点占92.6%,本构精度较高。