A fuel-cell/battery hybrid DC backup power system via a new high step-up three port converter

In this paper, a fuel-cell (FC)/battery hybrid direct-current (DC) backup power system is proposed for high step-up applications. This system is composed of a newly developed non-isolated three-port converter, which achieves a high voltage gain by taking the advantage of a quasi Z-source network and an energy transfer capacitor. After analyzing the converter, a comprehensive comparison study and a design procedure are provided. Moreover, the controllers regulating the source power levels while smoothing the FC power profile according to the proposed energy management strategy (EMS) are designed based on the developed small-signal model of the proposed converter. Both hardware and controller design procedures are validated through the PSIM model of the whole system. As a result, it is shown that the proposed system can effectively couple FC and battery while transferring their energies to a high voltage DC bus according to the offered EMS.     

基于决策树的羽流追踪机器人自主决策方法研究

针对无法获得可靠羽流流向信息不利于实现羽流追踪的问题，提出了一种基于决策树的羽流追踪移动机器人自主决策方法。该方法通过移动机器人两侧的浓度传感器采集到的浓度信息，利用追踪的行为规则建立决策树模型，获得行为决策信息，使机器人高效地追踪到羽流并精确地定位。由于浓度变化关系蕴含了羽流的流向及流速信息，从而取代了传统方法中流向及流速传感器。在扩散环境下，通过移动机器人羽流追踪实验，实现了良好的源定位效果。     

A dual Newton strategy for tree‐sparse quadratic programs and its implementation in the open‐source software treeQP

This paper presents a dual Newton scheme for tree‐sparse quadratic programs as they may arise in the field of stochastic programming. Previous work suggests to introduce auxiliary variables to decompose the tree into scenarios and use Newton's method to solve a dual problem formulation. Following a different approach, we apply the same principle directly on the tree‐sparse problem, avoiding the increase in dimensionality. In combination with a tailored algorithm for the calculation of the step direction, which is typically the most expensive operation per iteration, the proposed algorithm achieves a linear complexity in the number of nodes and supports parallel processing of the tree branches in a stage‐wise fashion. An open‐source implementation of the presented dual Newton strategy is publicly available in treeQP , a toolbox of open‐source solvers for tree‐sparse quadratic programs.     

DP980高强钢连续退火后的组织与性能

研究了不同工艺参数对980 MPa级连续退火双相钢组织及力学性能的影响,利用光学显微镜、透射电镜(TEM)以及拉伸试验对双相钢的微观组织和力学性能进行测试及分析。结果表明:DP980钢的退火组织主要由铁素体、马氏体岛和少量的贝氏体组成,马氏体岛附近的位错密度较高。随着均热温度的升高,DP980钢的抗拉强度呈现先降低后升高的趋势,屈服强度与抗拉强度的趋势一致,伸长率先升高后降低。随着过时效温度的升高,DP980钢的抗拉强度和屈服强度降低,降低幅度较小,伸长率上升,但变化不明显,说明通过调整过时效温度来调控其力学性能的作用较小。     

汽车电磁式主动悬架技术综述

电磁式主动悬架兼具控制精确、系统响应快和节能高效等优点,对悬架运动的控制能力强,可以显著提升车辆的舒适性和操稳性。随着新能源汽车、电控系统以及悬架减振技术的发展,电磁式作动器在汽车悬架系统上的应用开始受到关注。文中对汽车电磁式主动悬架技术的研究和应用现状进行回顾和分析,并对其应用前景进行展望。     

Nonlinear performance evaluation model for throughput of AQM scheme using full factorial design approach

The performance of active queue management (AQM) is measured in terms of throughput, delay, queue size, and loss rate. We have carried out the optimized performance measure of throughput for AQM scheme random early detection (RED) using full factorial design (FDD) technique that is a new approach of performance analysis particularly for congestion control algorithms. We have considered the input factors, viz, buffer size, maximum threshold, and the number of file transfer protocol (FTP) sources for the evaluation of RED that can be used for other AQM schemes, viz, adaptive RED, three‐section RED (TRED), and adaptive queue management with random dropping (AQMRD). The effect of each input factor as well as their interactions are evaluated using factorial design technique that results to obtain the nonlinear equation for performance measure in terms of input factors buffer size, maximum threshold, and the number of FTP sources. Finally, we show the contour plots for variation of performance measure throughput (steady state) from minimum to maximum values with respect to the different setting of input parameters.     

Calcium phosphate-based nanosystems for advanced targeted nanomedicine

Synthetic calcium phosphates (CaPs) are the most widely accepted bioceramics for the repair and reconstruction of bone tissue defects. The recent advancements in materials science have prompted a rapid progress in the preparation of CaPs with nanometric dimensions, tailored surface characteristics, and colloidal stability opening new perspectives in their use for applications not strictly related to bone. In particular, the employment of CaPs nanoparticles as carriers of therapeutic and imaging agents has recently raised great interest in nanomedicine. CaPs nanoparticles, as well as other kinds of nanoparticles, can be engineered to specifically target the site of the disease (cells or organs), thus minimizing their dispersion in the body and undesired organism-nanoparticles interactions. The most promising and efficient approach to improve their specificity is the ‘active targeting’, where nanoparticles are conjugated with a targeting moiety able to recognize and bind with high efficacy and selectivity to receptors that are highly expressed only in the therapeutic site. The aim of this review is to give an overview on advanced targeted nanomedicine with a focus on the most recent reports on CaP nanoparticles-based systems, specifically designed for the active targeting. The distinctive characteristics of CaP nanoparticles with respect to the other kinds of nanomaterials used in nanomedicine are also discussed.     

Strength and strain-hardening enhancement by generating hard delta-ferrite in twinning-induced plasticity steel

ABSTRACT

A dual-phase (12?vol.% delta-ferrite?+?78?vol.% austenite) high manganese twinning-induced plasticity (TWIP) steel was produced by hot rolled and annealing treatment. In comparison with the fully austenitic TWIP steel, both the yield and ultimate tensile strength of the dual-phase TWIP steel reinforced by hard delta-ferrite are significantly increased. It was found that the delta-ferrite in dual-phase steel exhibits a high hardness owing to the formed DO₃ structured intermetallic phase within ferrite. The presence of delta-ferrite dramatically improves the strain-hardening ability of TWIP steel. This is principally attributed to the effects of strain partitioning between hard delta-ferrite and softer austenite on the kinetics of deformation twinning and/or additional geometrical necessary dislocation (GND) during the deformation process.     

高湿黏性颗粒在聚四氟乙烯微孔膜滤料表面沉积特性的数值模拟

基于聚四氟乙烯(PTFE)微孔膜滤料扫描电镜(SEM)图像，建立PTFE微孔膜滤料微观结构模型，采用计算流体力学和离散单元法(CFD?DEM)耦合的方法对黏性颗粒在微孔膜滤料表面沉积特性进行模拟，引入液桥力模型，忽略范德华力的作用，统计计算域内颗粒的受力情况，分析了不同表面能条件下3~6 ?m粒径颗粒在微孔膜滤料表面的沉积特性，将模拟结果与黏附效率的经验公式进行对比。结果表明，黏附效率与经验值、颗粒受力与液桥力模型的相对误差均在6%以内，CFD?DEM耦合计算方法可用于模拟不同环境湿度条件下的颗粒沉积；过滤风速、粒径与黏性是影响沉积形态的重要因素，提高过滤风速及增大颗粒粒径与黏性，颗粒更易在滤料表面形成稳定的树突结构，黏附效率及含尘压降增加。环境相对湿度影响两物体间液桥体积，接触力影响颗粒沉积，当增加表面能与液桥体积时，接触力及液桥力均相应增加，根据受力平衡原理，环境相对湿度对颗粒沉积影响很大。     

气体静压轴承与主动磁轴承混合支撑轴系结构设计及静态性能研究

针对由气体静压轴承作为支撑的气浮精密主轴存在承载力相对较小及可控性不高的问题,结合带有周向微通槽的气体静压轴承与基于增量式PID控制的主动磁轴承,设计一款气磁混合支撑主轴。为提高小孔节流气体静压轴承的承载力,将气体静压轴承内表面的稳压室用矩形、三角形、半圆形截面动压微通槽相连通,通过FLUENT仿真分析3种截面动压微通槽对轴承承载能力的影响;以主轴的回转精度为衡量标准,在Matlab Simulink中仿真分析增量式PID控制的主动磁轴承的性能。结果表明:3种截面动压微通槽能有效提高气体静压轴承的承载能力,其中同等条件下矩形截面效果最好,可使轴承的承载力提高54%;基于增量式PID控制的主动磁轴承能够有效提高主轴的稳态响应速度及回转精度,使其在启动40 s后保持0.2μm的回转精度。