湍流场特性对燃烧室温度场的作用

本文给出了湍流燃烧室的数值模拟。通过改变燃气和空气进入燃烧室的速度和方向,改变燃烧室内的湍流场特性。由此产生的化学反应速率的改变给出理想的燃烧室温度场,使得燃烧室长度减小,且出口处温度场均匀。     

三维加力燃烧室湍流流场的数值模拟

采用SIMPLE方法,对涡扇航空发动机加力燃烧室内无化学反应的湍流流场进行了数值模拟。该加力燃烧室带有波瓣型混合器,并有多个环形稳定器及径向稳定器。湍流模型采用kε双方程模型。湍流流场数值计算结果合理。     

知识管理与企业的未来

阐述知识管理的内涵、企业进行知识管理的必要性及效益分析.     

基于IEC 61400121: 2017的风轮等效风速研究

2017版风电机组功率特性测试标准与2005版功率测试标准的一大改变在于风速的定义,前者规定应基于风轮等效风速评估风机的功率特性。分析了新版标准中的风轮等效风速的定义,提出了计算叶尖低处区域面积和叶尖高处区域面积的简化算法,验证了两种风轮等效风速计算方法的有效性和可行性。     

基于中继测量的环月探测器定轨能力分析

嫦娥四号月球探测拟首次实现月球背面的软着陆,测控与数传依赖地月L2平动点的中继卫星,并有望获取四程测量与星间测量数据。对基于中继测量的环月探测器测定轨能力进行了仿真分析,结果表明,中继卫星可较好地实现环月探测器连续跟踪;在定轨能力方面,中继卫星自身轨道精度是制约环月探测器定轨精度的重要因素,当跟踪弧段达到5h以上时,定轨精度趋于稳定,但轨道精度较中继卫星的轨道精度相差1个量级;对于星间链路测量,除中继卫星自身的轨道精度外,星钟的稳定性是制约定轨精度的另一个重要因素,如果辅助以每天1h的地基跟踪亦可实现优于百m的定轨精度。     

基于遗传算法的机器人负载重力补偿优化算法研究

航空航天装配领域,利用安装在机器人末端的六维力传感器来感知外力是实现工业机器人柔顺装配的关键技术之一,而负载的存在会干扰对外力的感知.针对工业机器人末端负载的重力补偿,提出一种基于遗传算法的重力补偿优化算法.此方法以误差平方和最小为目标建立了最优解模型,利用遗传算法求解,最终可以在不使用测量仪器的情况下,估计力传感器安...     

工作流资源分配的基本形式

分析了多种实际业务环境下工作流管理系统(WFMS)与资源之间的任务分配交互过程,归纳了一系列工作流资源分配的基本模式.这些模式为构造具有更广泛适用性的工作流系统提供了基础.在此基础上提出的工作流资源分配模式框架为今后的模式扩展提供了可参照的分类体系.     

多维系统测量的误差分析计算

多维系统测量参数众多,系统误差分析比较复杂。本文归纳给出多维系统测量误差分析计算方法措施,并给出算例。     

Phase asynchrony between coronal index and sunspot numbers

In this paper, the phase asynchrony between coronal index and sunspot numbers is investigated. It is found that, (1) the sunspot numbers begin one month earlier than coronal index, which should mathematically lead to phase asynchrony between them but with a slight effect; (2) the 11-year Schwabe cycle is the only one period with statistical significance for coronal index and sunspot numbers, and the difference between the length of the Schwabe cycle of them should also lead to phase asynchrony between them; (3) although coronal index and sunspot numbers are coherent in low-frequency components corresponding to the 11-year Schwabe cycle, they are asynchronous in phase in high-frequency components; (4) their different definitions and physical meanings may be a major reason why there is a phase asynchrony between them.     

Modelling of protons spectra encountered in space using medical accelerator and its microdosimetric characterization

Radiation environments in space are mainly composed of protons coming from the Galactic Cosmic Rays (GCRs) pervading the universe, the Solar Particle Events (SPEs) resulting from solar flares and coronal mass ejections, and the two Van Allen Belts surrounding the Earth due to the presence of the geomagnetic field trapping charged particles. Their wide spectra of energies up to hundreds of GeV imply diverse radiobiological effects to astronauts and radiation damage to electronics in the spacecraft. Even if lower in abundance, heavy ions such as He, C, O, Si, Fe are present in space and constitute an even bigger hazard due to their high penetrability and high linear energy transfer (LET). Most irradiation facilities available for research and testing worldwide provide usually only monoenergetic beams of high-energy protons or other heavier particles limiting studies of radiobiological effects and effects on electronics to a set of discrete energies.This paper introduces a procedure where a proton fluence spectra of interest for space radiation protection, previously generated by Monte Carlo simulations was delivered using a clinical proton therapy accelerator. Particularly, it reports the first results of modelling a proton radiation field in space in the energy range from 70 to 230 MeV during a single experimental session by programming a treatment planning system (TPS) to deliver required proton irradiation energies. Moreover, the angular distribution of the proton irradiation field has been varied to reproduce the isotropic exposure experienced by humans in space. The obtained proton radiation field was characterized using a 3D sensitive volume SOI microdosimeter developed by the Centre for Medical Radiation Physics (CMRP), University of Wollongong, Australia.