水下爆轰燃气泡形态与激波传播过程研究

针对脉冲爆轰发动机在水下工作过程中形成的燃气射流问题,搭建了水下爆轰燃气实验系统,研究了第一个爆轰循环中燃气泡发展变化过程.建立了基于气液两相双流体模型的脉冲爆轰发动机水下喷射模型,采用时-空守恒元和求解元方法,模拟了爆轰波与水相互作用形成的激波的传播及衰减过程.研究结果表明:燃气射流冲击水面时,燃气泡形态在膨胀阶段受...     

充气式蓄能器参数选型方法研究

容积和预充气压力是充气式蓄能器的关键参数，对其动态性能（工作状态下，其压力与流量的输出性能）有较大影响。以某型飞机舵面应急型充气式蓄能器计算选型为例，基于Hypneu 仿真软件中的液压元件库，结合该型飞机液压系统的主要设计参数以及应急型蓄能器的工作原理，建立蓄能器作动仿真模型；在Hypneu中设置测试点记录仿真曲线，通过分析仿真曲线探究充气式蓄能器的关键参数对其动态性能的影响；结合理论计算与仿真分析，提出一套蓄能器参数选型方法，并通过试验验证该选型方法。结果表明：蓄能器的预充气压力越大，初始蓄能器输出的有效容积越小，减少预充气压力增加有效容积的同时会降低蓄能器的输出压力，试验结果与仿真结果接近，使用该方法选型的蓄能器可以满足作动要求。     

An FV-EE model to predict lean blowout limits for gas turbine combustors with different structures and sprays

The occurrence of Lean Blowout(LBO) is a disadvantage that endangers a stable operation of gas turbines. A determination of LBO limits is essential in the design of gas turbine combustors. A semiempirical model is one of the most widely used methods to predict LBO limits.Among the existing semiempirical models for predicting LBO limits, Lefebvre’s LBO model and the Flame Volume(FV) model are particularly suitable for gas turbine combustors. On the basis of Lefebvre’s and FV models, the concept o...     

Numerical simulation method of surge experiments on gas turbine engines

In order to obtain the surge margin of an aero-engine during its operation, an engine surge experiment is required. A multi-dimensional simulation method for an aero-engine is established in this paper. The simulation of a surge experiment using high-pressure air-injection is then carried out on a turbo-shaft engine to obtain the surge boundary using this method. More specifically, firstly, a body-force model is employed to calculate the compressor performance owing to its capability of capturin...     

Digital twin model of gas turbine and its application in warning of performance fault

The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines. However, three technical difficulties need to be solved: (1) low modeling precision caused by individual differences between gas turbines, (2) poor solution efficiency due to excessive iterations, and (3) the false alarm and missing alarm brought by the traditional fixed threshold method. This paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three aspects. Firstly, a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement data. Secondly, the idea of controlling the relative accuracy of model parameters is developed. The introduction of an error module to the existing model can greatly shorten the modeling cycle. The third solution focuses on the early warning based on the digital twin model, which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density estimation. The proposed method is utilized to analyze actual measured data of LM2500 +, and the results verify that the new-built digital model has higher accuracy and better efficiency. The comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.     

复合材料气瓶热防护材料隔热性能试验研究

以复合材料气瓶热防护材料的耐高温及隔热性能为研究对象，通过真空舱模拟上面级飞行段的真空环境，采用石英灯阵模拟热源，对两种热防护方案开展真空热试验，分析了不同材料（组合）、多层隔热组件不同单元的隔热性能及其差异产生的原因。结果表明两种防热方案都可使气瓶壁面温度满足不超过70 ℃的温度要求，其中“柔性隔热毡+中温多层”组合防热结构的耐温和隔热性能更优，并通过理论计算与试验值对比验证了热仿真计算中的不确定性，试验结果可为后续型号防热设计提供参考。     

动态负调约束下固体冲压发动机燃气流量控制算法研究

变流量固体冲压发动机工作过程中，常采用控制燃气发生器压强的方式调节燃气生成量，在跟踪变化压强指令过程中，流量会产生明显的负调现象，严重影响发动机系统的安全性和可靠性。为 解决这一问题，本文以具有高度非线性、强时变特性的燃气发生器系统为对象，构建了基于粒子群算法的流量调节自适应PI控制器，并给出一种利用自适应微分跟踪器对期望控制指令进行“整形”的负调改善算法；首先，结合负调发生、终止判据，综合考量系统流量安全裕度，负调发生方向，构建了适配于动态负调约束的自适应跟踪微分器（TD），克服了传统跟踪微分器在负调抑制过程中控制精度不高，指向性不强等缺陷；进一步，开展了多工况下的负调抑制算法仿真校验，结果表明：所设计自适应控制算法具备良好的燃气流量控制能力，可实现在基本不改变响应时间情况下，将最大负调量削减56.6%的控制效果，展现出良好的工程应用前景。     

A new approach for pulse amplitude measurement using Lagrange’s interpolation for radiation or particle detectors

In radiation detector signal processing, usually, the charge-sensitive preamplifier converts the small charge signal coming from the semiconductor-based detector into voltage form and then the signal is further amplified to measure the energy of the incoming radiation. The voltage pulse from a charge-sensitive preamplifier (CSPA) is amplified using a shaping amplifier which reduces the signal bandwidth. To achieve better energy resolution, precise measurement of the peak amplitude of shaping amplifier output is required. The signal processing methods are available in which the signal from the charge-sensitive preamplifier can be directly digitized using high-speed Analog to Digital Converters (ADC), and then further signal processing such as gain and shaping is carried out inside the Field Programmable Gate Arrays (FPGA). For multiple detector systems, digital signal processing methods are quite difficult to implement in Field Programmable Gate Arrays (FPGA). In this context, The development of an alternative technique is initiated that uses a charge-sensitive preamplifier, shaping amplifier, low sampling analog-to-digital converter, and FPGA, where LaGrange’s interpolation technique is implemented in FPGA to precisely measure the peak of the analog pulse. In this paper, the comparison of the proposed method with other pulse amplitude measurement techniques is discussed. Results show that the implemented technique gives similar energy resolution compared to digital pulse processing and standard peak detector-based techniques.