机场供油系统单顾客流仿真模型

机场供油系统是一种典型的排队服务系统。本文通过对单顾客流输入下五种情况的研究,分别建立了系统的仿真模型,提出了适合解决该问题的事件调度法与活动扫描法等两种仿真策略并给出了伪码算法。仿真实践表明,准确而全面的模型分析,对于后期开发仿真程序,优化系统性能是非常重要的。     

利用在轨航天器扰动响应辨识其动力学参数的研究

从结构模态参数的可识别性出发,结合时域频域参数识别技术和数字处理技术,开发出航天器动力学特征参数在轨辨识系统,系统包括硬件和软件。在此基础上设计了模拟在轨航天器的试验验证系统,以检验辨识算法和设计软件的可靠性以及航天器在轨辨识的实时性,该试验系统包括一个对称的双梁结构,利用对称结构的弱耦合可得到多个密集模态。试验和模拟数字考核结果表明系统辨识算法可靠,精度可以到达设计要求。     

变构型桁架式卫星平台结构设计与性能评价

为实现大型通信卫星内部有效载荷维修可达,根据传统卫星平台的框架结构和承力结构,设计了6种可重复变构型桁架式卫星平台构型.提出评价变构型卫星平台性能的主要指标,包括结构质量、惯量变化率、整流罩面积利用率、展开表面积比、展收状态下振动频率、设备布局影响和折展机构复杂度等.分析6种变构型桁架式卫星平台构型的上述性能指标,采用层析分析法得到各个性能指标的权重,基于模糊综合评价法优选出综合性能较佳的构型.根据空间机构多闭环自由度计算公式计算出优选构型折展机构自由度为1,该折展机构具有唯一确定的运动.完成了优选构型的结构设计,并制作3D打印模型演示了变构型过程,卫星平台原理上可实现可重复变构型的功能.     

Challenges and Innovative Technologies On Fuel Handling Systems for Future Sodium-Cooled Fast Reactors

The reactor refuelling system provides the means of transporting, storing, and handling reactor core subassemblies. The system consists of the facilities and equipment needed to accomplish the scheduled refuelling operations. The choice of a FHS impacts directly on the general design of the reactor vessel (primary vessel, storage, and final cooling before going to reprocessing), its construction cost, and its availability factor. Fuel handling design must take into account various items and in particular operating strategies such as core design and management and core configuration. Moreover, the FHS will have to cope with safety assessments: a permanent cooling strategy to prevent fuel clad rupture, plus provisions to handle short-cooled fuel and criteria to ensure safety during handling. In addition, the handling and elimination of residual sodium must be investigated; it implies specific cleaning treatment to prevent chemical risks such as corrosion or excess hydrogen production. The objective of this study is to identify the challenges of a SFR fuel handling system. It will then present the range of technical options incorporating innovative technologies under development to answer the GENERATION IV SFR requirements.     

Thermodynamic modeling of hydrogen refueling for heavy-duty fuel cell buses and comparison with aggregated real data

The foreseen uptake of hydrogen mobility is a fundamental step towards the decarbonization of the transport sector. Under such premises, both refueling infrastructure and vehicles should be deployed together with improved refueling protocols. Several studies focus on refueling the light-duty vehicles with 10 kg_H2 up to 700 bar, however less known effort is reported for refueling heavy-duty vehicles with 30–40 kg_H2 at 350 bar. The present study illustrates the application of a lumped model to a fuel cell bus tank-to-tank refueling event, tailored upon the real data acquired in the 3Emotion Project. The evolution of the main refueling quantities, such as pressure, temperature, and mass flow, are predicted dynamically throughout the refueling process, as a function of the operating parameters, within the safety limits imposed by SAE J2601/2 technical standard. The results show to refuel the vehicle tank from half to full capacity with an Average Pressure Ramp Rate (APRR) equal to 0.03 MPa/s are needed about 10 min. Furthermore, it is found that the effect of varying the initial vehicle tank pressure is more significant than changing the ambient temperature on the refueling performances. In conclusion, the analysis of the effect of different APRR, from 0.03 to 0.1 MPa/s, indicate that is possible to safely reduce the duration of half-to-full refueling by 62% increasing the APRR value from 0.03 to 0.08 MPa/s.     

The impact of hydrogen refueling station subsidy strategy on China's hydrogen fuel cell vehicle market diffusion

Lack of hydrogen refueling stations (HRSs) has hindered the diffusion of hydrogen fuel cell vehicles (HFCVs) in the Chinese transport market. By combining the agent-based model (ABM) and the experience weighted attraction (EWA) learning algorithm, this paper explores the impact of government subsidy strategy for HRSs on the market diffusion of HFCVs. The actions of the parties (government, HRS planning department and consumers) and their interactions are taken into account. The new model suggests dynamic subsidy mode based on EWA algorithm yields better results than static subsidy mode: HFCV purchases, HRS construction effort, total number of HRSs and expected HRS planning department profits all outperform static data by around 27%. In addition, choosing an appropriate initial subsidy strategy can increase the sales of HFCVs by nearly 40%. Early investment from government to establish initial HRSs can also increase market diffusion efficiency by more than 76.7%.     

Development of correlation equations on hydrogen properties for hydrogen refueling process by machine learning approach

The energy transition which refers to shift of the energy system from fossil-based resources to renewable and sustainable energy sources becomes a global issue to mitigate the progression of climate change. Hydrogen can play an important role in long-term decarbonization of energy system and achievement of carbon neutrality. Currently, the utilization of hydrogen in the energy system is focused on a road transportation sector as a fuel in a vehicle fleet.Compressing gaseous hydrogen is the most well-established technology for storage in hydrogen-fueled vehicles. The refueling hydrogen requires short filling time while ensuring the safety of storage tanks in a vehicle. However, a fast filling of hydrogen in high pressure leads to a rapid temperature rise of hydrogen stored in tank. Therefore, many numerical and experimental studies have been carried out to analyze the filling process. Various thermo-physical properties of gaseous hydrogen such as density, viscosity, and thermal conductivity are required for the numerical studies and the accurate hydrogen properties are essential to obtain reliable results.In this work, a polynomial equation is proposed with respect to temperature and pressure in ranges of 223.15 K < T < 373.15 K and 0.1 MPa < P < 100.1 MPa to present various hydrogen thermo-physical properties by adopting different coefficients. The coefficients are determined by a machine learning method to regress the equation using a great number of reference data. The equation is trained, tested, and validated using different datasets for each property. The order of the equation has been changed from 2 to 5. Then, the accuracies are estimated and compared with respect to the order. The average relative errors (REs) of the 5th order equation are assessed to lower than 0.3% except for molar volume and entropy. The accuracy of the equation is also examined with experimental data and other correlation equations for density, viscosity, and thermal conductivity which are required for numerical simulations of hydrogen refueling. The proposed equation presents better accuracy for viscosity and thermal conductivity than literature equations. In density calculation, a literature equation shows better performance than the proposed equation, but the difference between their accuracies is not so significant. In calculation time comparison, it is revealed that the proposed equation rapidly responses adequate to computational fluid dynamics (CFD) simulations.Results of the study can provide accurate and reliable hydrogen property values in a fast and robust means specifically for simulation of hydrogen refueling process, but not restricted only to the process. Correlation equations proposed in the present work can aid in optimizing a hydrogen value chain including production, storage, and utilization by providing accurate hydrogen property.     

飞机液压油和滑油压力加油装置的研制

针对目前给飞机添加液压油和滑油时存在的一些弊端,根据可靠性理论和液体压强传递的原理,设计一种新型的多功能压力加油装置,并介绍了加油装置的组成、工作原理、性能特点以及应用情况。     

燃料运输设备机液联合仿真研究

燃料运输设备是核电厂装换料系统的重要设备,为了研究燃料运输设备机液耦合系统的动力学特性,建立了机构动力学和液压控制联合仿真模型,对燃料运输设备倾翻过程进行了数值仿真,得到了燃料篮角速度、燃料篮转角、液压缸推力等动态性能参数。结果表明:基于液压驱动的燃料运输设备,其燃料篮可实现燃料组件水平状态与竖直状态的倾翻;在整个倾翻过程中燃料篮运行平稳、制动平稳,最大速度7.98(°)/s,没有出现速度陡变,可实现设计目标。