LOW TEMPERATURE FRICTION WELDING OF ALUMINUM TO COPPER

经过分析铝-铜摩擦焊接头脆断特点及其原因,在试验的基础上,提出了铝-铜低温摩擦焊工艺。通过降低转速及适当提高摩擦压力,使接头的摩擦加热焊接表面的温度低于铝-铜系统平衡图的共晶点548℃,并保证铝、铜焊接表面金属充分的塑性变形。采用低温摩擦焊消除了铝-铜接头的脆断,提高了接头的强度、塑性、韧性和锻压性能。接头的热稳定性、老化及实际运行试验表明,其质量完全满足技术条件的要求。     

GE励磁低励限制与汽轮发电机失磁保护及进相试验配合校核

为防止发电机组进相运行因进相深度过大而非正常停运,提出GE发电机励磁低励限制与汽轮发电机失磁保护、进相试验配合校核方法.首先分析发电机进相运行时励磁系统低励限制与失磁保护之间的配合关系;然后根据机组实际励磁参数、发电机失磁保护定值、机组进相试验报告,校核GE EX2100励磁调节器低励限制与发电机失磁保护、进相试验间的配合是否满足要求,对不满足配合关系的低励限制参数给出调整方法.该方法简便易行,现场实例校核结果验证了其有效性.     

Annexin 1 Is a Component of eATP-Induced Cytosolic Calcium Elevation in Arabidopsis thaliana Roots

Extracellular ATP (eATP) has long been established in animals as an important signalling molecule but this is less understood in plants. The identification of Arabidopsis thaliana DORN1 (Does Not Respond to Nucleotides) as the first plant eATP receptor has shown that it is fundamental to the elevation of cytosolic free Ca²⁺ ([Ca²⁺]_cyt) as a possible second messenger. eATP causes other downstream responses such as increase in reactive oxygen species (ROS) and nitric oxide, plus changes in gene expression. The plasma membrane Ca²⁺ influx channels involved in eATP-induced [Ca²⁺]_cyt increase remain unknown at the genetic level. Arabidopsis thaliana Annexin 1 has been found to mediate ROS-activated Ca²⁺ influx in root epidermis, consistent with its operating as a transport pathway. In this study, the loss of function Annexin 1 mutant was found to have impaired [Ca²⁺]_cyt elevation in roots in response to eATP or eADP. Additionally, this annexin was implicated in modulating eATP-induced intracellular ROS accumulation in roots as well as expression of eATP-responsive genes.     

应用于光伏发电并网逆变器的有源阻尼控制策略

针对三相LCL型并网逆变器存在的谐振问题,建立了基于哈密尔顿系统数学模型,并用串联陷波器的方式对系统谐振尖峰进行抑制。在基于经典控制理论以及PI等传统控制器的基础上,将无源控制（PBC）理论用于三相LCL型并网逆变器控制器的设计,提高了并网系统抗干扰能力。并在MATLAB/Simulink中进行了仿真验证,结果证明了所研究的利用无源控制策略的有源阻尼控制的有效性,使系统输出电流总谐波失真（THD）从0.82%降低到0.5%以下,降低了并网电流的谐波含量,在新能源发电并网中具有一定的研究意义。     

Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

Because of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control.     

NECP-Atlas中屏蔽数据库制作方法

为获得更高精度的屏蔽数据库,提高屏蔽计算中关键参数的计算精度,本文利用核数据处理程序NECP-At-las中屏蔽数据库制作功能模块shield_calc.基于响应贡献理论对屏蔽数据库能群结构进行优化,重点针对屏蔽计算中的热中子注量率以及光子注量率进行改善,并利用SINBAD屏蔽基准题对优化后的能群结构进行验证.数值结果表明:利用优化后的能群结构计算得到的热中子注量率和光子注量率较BUGLE屏蔽数据库原始能群结构计算结果有明显改善,热中子注量率相对偏差由100％下降至30％左右,光子注量率相对偏差由50％下降至10％左右,提高了辐射屏蔽计算中热中子以及光子计算结果的准确性.     

大学英语四级考试对职业院校学生英语学习反拨效应研究

本文以成都一所职业学院参加大学英语四级考试(CET-4)的学生为研究对象,采用问卷调查和访谈的形式探讨CET-4对职业院校学生英语学习造成的反拨效应.研究表明,学生普遍认同CET-4的相关测试性质,CET-4对学生产生的正面反拨效应远远超过负面反拨效应.同时研究表明,学生在备考过程中存在着一定的问题,例如对测试评分标准认识不足、缺乏良好的学习习惯等.     

基于数据融合的ABC-SVM社区疾病预测方法

针对现有社区医疗服务中的疾病预测方法存在数据利用率低、疾病分析类型单一、自动化程度差、疾病预测效果不理想等不足,提出在物联网大数据环境下可用于社区医疗的健康数据融合及疾病预测方法. 通过主成分分析(PCA)和聚类分析对社区中居民的生理指标数据进行特征提取;结合人工蜂群(ABC)算法构造支持向量机(SVM)非线性分类器对数据进行特征级融合分析并预测潜在疾病. 实验结果表明,所提方法的疾病识别准确率达到93.10%,相较于传统SVM方法和BP神经网络方法分别提高17.24% 和72.41%. 该方法能够在提高数据利用率、降低计算资源消耗的前提下有效识别多种潜在疾病,可实现疾病早发现、早预防、早治疗;可广泛应用于社区健康管理、老年社区监护甚至临床医疗.     

外磁场激励下管道弱磁应力内检测特性研究

弱磁应力检测技术支持非接触在线应力损伤检测,在长输油气管道应力内检测技术领域具有巨大的应用潜力。但弱磁信号微弱,易受外界环境干扰,检测结果易出现偏差。为加强弱磁信号的检测能力,基于铁磁材料的微观特性,建立了外磁场弱磁应力检测模型,获得了弱磁信号强度随外磁场强度与施加应力的变化规律,描述了外磁场对弱磁应力检测信号的激励特性,并进行了系统的实验研究。结果表明,弱磁信号的切向峰值与法向零点均位于应力集中区的中心位置,且不随应力与外磁场的变化而发生波动;弱磁信号切向峰值与法向峰峰值随外磁场与应力的增加而增大;外磁场对弱磁应力检测信号的激励作用随外磁场的增加先增大后减小。     

离子液体/NMP对双马萃余煤的结构和萃取性能影响

为研究离子液体/NMP对双马萃余煤的结构和萃取性能影响,首先分别用乙醇和丙酮对宁东双马煤样(SM)进行分步萃取,得到萃余煤(SMEC),然后将不同种类的离子液体(ILs)分别与N-甲基吡咯烷酮(NMP)混合后对SMEC进行萃取.用TG研究ILs/NMP萃取前后煤样热分解特性的变化,用FT-IR研究ILs/NMP萃取前后煤样官能团的变化,用GC/MS分析萃取物的种类.结果表明,ILs/NMP萃取后煤样的热失重增大,萃余煤中含氧官能团含量下降.另外,疏水型离子液体/NMP对SMEC煤的累积萃取率大于亲水型离子液体/NMP的累积萃取率.亲水型离子液体[Bmim]Cl/NMP和[Bmim]BF4/NMP分别萃取出51种和44种有机物质;疏水型离子液体[Bmim]NTf2/NMP和[Bmim]PF6/NMP分别萃取出28种和29种有机物质.疏水型离子液体/NMP对SMEC煤中含氧官能团化合物的萃取能力强于亲水型离子液体/NMP;疏水型离子液体/NMP对SMEC煤中含杂原子化合物的萃取能力小于亲水型离子液体/NMP.