往复式压缩机气体管道振动分析及消振方法

往复式压缩机气体管道振动是管道设计和机器运行中经常遇到的问题,往往影响到设备装置的正常运行。分析了通常引起往复式压缩机气体管道振动的原因及其消振方法。实例应用振动分析法采集数据。分析了振动原因,并提出了相应的消振措施。现场应用表明,效果较好。     

PTC: Full and Drift Particle Orbit Tracing Code for α Particles in Tokamak Plasmas

Fusion born α particle confinement is one of the most important issues in burning plasmas,such as ITER and CFETR.However,it is extremely complex due to the nonequilibrium characteristics,and multiple temporal and spatial scales coupling with background plasma.A numerical code using particle orbit tracing method(PTC)has been developed to study energetic particle confinement in tokamak plasmas.Both full orbit and drift orbit solvers are implemented to analyze the Larmor radius effects on α particle confinement.The elastic collisions between alpha particles and thermal plasma are calculated by a Monte Carlo method.A triangle mesh in poloidal section is generated for electromagnetic fields expression.Benchmark between PTC and ORBIT has been accomplished for verification.For CFETR burning plasmas,PTC code is used for α particle source and slowing down process calculation in 2D equilibrium.In future work,3D field like toroidal field ripples,Alfven and magnetohydrodynamics instabilities perturbation inducing α particle transport will be analyzed.     

人体脐带血单核细胞与冰晶间相互机械影响的显微研究

利用低温显微镜观察了脐带血单核细胞在降温过程中与冰晶间的相互机械作用,比较了在不同保护剂情况下有无静电场的降温过程中,冰晶形成和生长以及由此引起的机械作用的变化.结果表明,在脐血中的细胞与冰晶间存在一定的机械作用,静电场的引入在一定程度上改变了冰晶的形成和生长特性,使其细化;不同的保护剂,由于其本身的化学机制不同,对冰晶的抑制影响也不同.     

不同降压药物组合疗效观察及对机体代谢的影响

目的：观察小剂量双氢克尿噻、小剂量双氢克尿噻与卡托普利、尼群地平合用治疗新疆农牧区高血压病患者的有效性、安全性、依从性。方法：在新疆农牧区高血压患者中筛选出的234名患者根据血压下降分为双氢克尿噻（67例）、双氢克尿噻＋卡托普利（99例）、双氢克尿噻＋尼群地平（68例）三组,分别观察用药前后血压、心率变化及血糖、血脂、离子等生化指标的变化,随访3月。结果：三组治疗方案基线资料均无统计学差异（P〉0．05）;三组治疗后血压均明显下降,治疗效果显著（P=0．000）。三组治疗后心率均有下降（P〈0．05）。双氢克尿噻＋卡托普利组用药后甘油三酯下降（P=0．048）,低密度脂蛋白明显上升（P=0．006）。双氢克尿噻＋尼群地平组用药后总胆固醇明显下降（P=0．005）。乏组病人用药后血钠均明显降低（P〈0．05）。各组用药后血钾、血钙,总胆固醇、高密度脂蛋白、血糖无显著变化（P〉0．05）。结论：三组用药方案治疗新疆农牧区高血压病效果显著,对患者血糖、血脂、离子无明显不利影响。     

不同产地桑叶中黄酮类成分含量分析

应用高效液相色谱法检测全国不同地区采购的22批次桑叶中6种黄酮类化合物的含量,并进行精密度、稳定性、重复性和加样回收率试验以及含量试验。结果显示：精密度试验、稳定性试验检测色谱峰面积的相对标准偏差均低于1%,表明检测仪器与操作符合精密度的要求;不同产地桑叶中6种黄酮类成分的含量差异较大,其中,安徽亳州、四川绵阳、广西玉林地区采集的桑叶中黄酮总量较高,其次是河南商丘、浙江桐乡、江苏泰兴、湖北襄阳,而湖南邵阳桑叶的黄酮总量最少,提示不同产地桑叶中黄酮的含量有差异。采用高效液相色谱法测定桑叶中黄酮类成分的含量操作简便、稳定性及重复性较好。     

初速度对被撞船舷侧结构影响

采用ANSYS/LS-DYNA建立了两船发生侧向对中垂直碰撞的非线性有限元模型,模型中考虑了材料非线性、几何非线性等因素;并以所建立的非线性有限元模型为基础,对被撞船舷侧结构碰撞性能进行了仿真研究,得到了碰撞力和能量随碰撞船位移变化的关系曲线,重点研究了碰撞船初速度的影响.数值仿真结果表明,不同的碰撞船初速度会导致被撞船舷侧结构产生不同形式的变形和不同程度的损伤.同时,通过仿真计算得到了某一确定碰撞情景下被撞船舷侧内、外壳破裂的临界速度,可以为海事部门制定海上限速避碰规则提供依据.     

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory

Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an uncertainty of source domain data with respect to the target domain task. Ignoring the uncertainty may lead to models with unreliable and suboptimal classification results for the target domain task. However, most previous works focus on reducing the gap in data distribution between the source and target domains. They do not consider the uncertainty of source domain data about the target domain task and cannot apply the uncertainty to learn an adaptive classifier. Aimed at this problem, we revisit the domain adaptation from source domain data uncertainty based on evidence theory and thereby devise an adaptive classifier with the uncertainty measure. Based on evidence theory, we first design an evidence net to estimate the uncertainty of source domain data about the target domain task. Second, we design a general loss function with the uncertainty measure for the adaptive classifier and extend the loss function to support vector machine. Finally, numerical experiments on simulation datasets and real-world applications are given to comprehensively demonstrate the effectiveness of the adaptive classifier with the uncertainty measure.     

Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data

One of the biggest challenges for the fault diagnosis research of industrial robots is that the normal data is far more than the fault data; that is, the data is imbalanced. The traditional diagnosis approaches of industrial robots are more biased toward the majority categories, which makes the diagnosis accuracy of the minority categories decrease. To solve the imbalanced problem, the traditional algorithm is improved by using cost-sensitive learning, single-class learning and other approaches. However, these algorithms also have a series of problems. For instance, it is difficult to estimate the true misclassification cost, overfitting, and long computation time. Therefore, a fault diagnosis approach for industrial robots, based on the Multiclass Mahalanobis-Taguchi system (MMTS), is proposed in this article. It can be classified the categories by measuring the deviation degree from the sample to the reference space, which is more suitable for classifying imbalanced data. The accuracy, G-mean and F-measure are used to verify the effectiveness of the proposed approach on an industrial robot platform. The experimental results show that the proposed approach’s accuracy, F-measure and G-mean improves by an average of 20.74%, 12.85% and 21.68%, compared with the other five traditional approaches when the imbalance ratio is 9. With the increase in the imbalance ratio, the proposed approach has better stability than the traditional algorithms.     

Heterogeneous Catalysis of Ozone Using Iron–Manganese Silicate for Degradation of Acrylic Acid

Iron–manganese silicate (IMS) was synthesized by chemical coprecipitation and used as a catalyst for ozonating acrylic acid (AA) in semicontinuous flow mode. The Fe-O-Mn bond, Fe-Si, and Mn-Si binary oxide were formed in IMS on the basis of the results of XRD, FTIR, and XPS analysis. The removal efficiency of AA was highest in the IMS catalytic ozonation processes (98.9% in 15 min) compared with ozonation alone (62.7%), iron silicate (IS) catalytic ozonation (95.6%), and manganese silicate catalytic ozonation (94.8%). Meanwhile, the removal efficiencies of total organic carbon (TOC) were also improved in the IMS catalytic ozonation processes. The IMS showed high stability and ozone utilization. Additionally, H₂O₂ was formed in the process of IMS catalytic ozonation. Electron paramagnetic resonance (EPR) analysis and radical scavenger experiments confirmed that hydroxyl radicals (•OH) were the dominant oxidants. Cl⁻, HCO₃⁻, PO₄³⁻, Ca²⁺, and Mg²⁺ in aqueous solution could adversely affect AA degradation. In the IMS catalytic ozonation of AA, the surface hydroxyl groups and Lewis acid sites played an important role.     

段塞流诱导柔性立管振动响应实验分析

在气液两相循环实验系统中开展了水动力段塞流诱导的悬链线型柔性立管振动响应测试,利用高速摄像非介入测试方法同步捕捉了柔性立管的振动位移与管内的段塞流动细节,预测了气体表观流速对水动力段塞流诱导柔性立管振动响应的影响规律,分析了振幅响应、模态权重、频谱变化以及管内流动特性.结果 表明,随着气体表观流速的增大,振动幅度逐渐增...