吸收法处理工业生产中的有机废气

通过对空气污染原因和有关处理方法的比较分析 ,提出采用化学吸收法处理高温、低密度的烃类污染物是一项经济有效的方法。     

气浮陀螺空气轴承涡流力矩的有限元分析

气浮陀螺K0项漂移精度的控制一直是陀螺研制中的难点,而空气轴承涡流力矩是影响陀螺K0项漂移精度最主要因素。因此,本文根据气浮陀螺研制中的实际问题,结合机加工中空气轴承出现的误差形式,建立了空气轴承制造误差对涡流力矩影响的数学模型,并采用有限元方法分析了空气轴承制造误差对涡流力矩的影响规律,得出了浮子圆度误差和窄缝装配误差是引起涡流力矩最主要因素,并通过空气轴承结构参数与涡流力矩的灵敏度分析,得到了径向平均间隙和窄缝平均间隙结构参数的最优值。针对上述研究结论,提出了控制陀螺涡流力矩的技术方法,并通过试验验证了本文理论计算结果的正确性。     

基于模糊PID控制的燃气调压系统设计

针对燃气管道压力难以控制的问题,将常规PID控制和模糊控制相结合,提出一种基于模糊PID控制器的燃气管道压力控制方案。通过与常规PID的压力仿真曲线相比较表明：模糊PID控制性能优越、超调量小、上升时间快、调整时间短。     

推进式螺旋桨飞行中桨叶温度测量与尾气防冰性能评估

为研究某推进式布局螺旋桨表面温度分布特性,评估发动机尾气防冰功能,对螺旋桨进行了飞行中的温度测量试验,在桨叶上布置了Pt100热电阻和K型热电偶,通过无线近距遥测系统实现信号传输,测量螺旋桨在不同高度和发动机状态飞行时的表面温度,结果表明桨叶前缘尾气显著影响区温度随半径增加先升高后降低,桨叶最大厚度处温度则随半径增大呈先降低后升高趋势;飞行高度增加会导致桨叶温度显著下降,在同一高度内增大燃气发生器转速可引起桨叶温度小幅升高。根据相关标准和文献得到桨叶表面临界结冰判据,表明在5km螺旋桨防冰功能有效,在7km部分位置存在结冰风险,在8.5km防冰功能完全失效。     

回流型脉冲爆震燃烧室工作特性分析

为了获得回流型脉冲爆震燃烧室在不同工作频率下的工作特性,通过试验和数值相结合的方法对该爆震室工作频率10~30Hz时的出口燃气总压、总温、流量变化规律以及该爆震室的增压能力进行了测试与计算分析。结果表明：出口燃气总压、总温具有极高的峰值和较高的平台区,其工作频率10~30Hz时,压力平台值为0.36~0.91MPa,时均温度为710~1270K。此外,该爆震室排气流量十分集中,以10Hz为例,在一个爆震循环的16%时间内,排出了整个循环60.5%的燃气。为此对出口燃气总压进行质量加权平均,发现该爆震室的增压比随工作频率的增加而降低,在2.05~2.37。     

A review of recent studies on rotating internal cooling for gas turbine blades

Gas turbines have been used extensively for aircraft and marine propulsions as well as land-based power generation because of their high thermal efficiency and large power to weight ratios. To further increase the thermal efficiency, numerous prior researches on gas turbine blade internal cooling have been intensively carried out, majorly under stationary conditions. However, the stationary studies neglect the effects of Coriolis and buoyancy forces, which should change the velocity, turbulence and temperature distribution under rotating conditions. To elucidate the rotational effects on gas turbine internal cooling, the extensive results collected from recent investigations are discussed, which include the rotation and buoyancy effects on the rib turbulated cooling, pin fin cooling, jet impingement cooling, dimple/protrusion cooling, latticework cooling as well as swirl cooling. The rotational effects on the friction factors and the most employed experimental and numerical methods are also presented. Moreover, recommendations for future research are outlined. Therefore, this review article provides extensive literature information for the design of the next-generation high-efficiency internal cooling for rotating turbine blades.     

环瓣式浮环密封表面瑞利台阶型槽气体润滑动压特性

为提高密封气膜的开启能力以满足长寿命设计要求,基于气体润滑理论研究了环瓣式浮环密封表面瑞利台阶型槽的动压特性.采用有限差分方法,数值计算了密封气膜压力分布和动压效应,分析了操作参数和型槽几何参数对密封气膜压力和泄漏率的影响规律.结果表明,表面瑞利台阶型槽可以产生明显的气体润滑动压效应,可使得密封气膜平均压力和泄漏率分别...     

恒压式气体微流量计的设计

恒压式气体微流量计是校准气体微流量的一种装置,校准范围为（１７．１－１＊１０＾－５）Ｐａ．Ｌ／ｓ,不确定度于小于２％,可采用直接测量法和比较测量法对标准漏孔进行校准。文章介绍恒压式气体微流量计的设计方法和结构参数的选择。     

漏率与压力关系的研究

在高压密封系统中,漏率与压力的关系,目前仍然处于探索之中。对不同的刚性物理漏孔进行了不同压力状态下的漏率试验,发现了漏率的函数关系。在试验的基础上,经理论分析,验证了其规律的正确性。同时,发现随着漏孔长度的减少而压力指数变大的规律。     

A combined technique of Kalman filter,artificial neural network and fuzzy logic for gas turbines and signal fault isolation

The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based diagnostics of single and multiple failures on a two-spool engine. The aim of this technique is to combine the strength of each methodology and provide a high success rate for single and multiple failures with the presence of measurement malfunctions. A combination of KF (Kalman Filter), ANN (Artificial Neural Network) and FL (Fuzzy Logic) is used in this research in order to improve the success rate, to increase the flexibility and the number of failures detected and to combine the strength of multiple methods to have a more robust solution. The Kalman filter has in his strength the measurement noise treatment, the artificial neural network the simulation and prediction of reference and deteriorated performance profile and the fuzzy logic the categorization flexibility, which is used to quantify and classify the failures. In the area of GT (Gas Turbine) diagnostics, the multiple failures in combination with measurement issues and the utilization of multiple methods for a 2-spool industrial gas turbine engine has not been investigated extensively.This paper reports the key contribution of each component of the methodology and brief the results in the quantification and classification success rate. The methodology is tested for constant deterioration and increasing noise and for random deterioration. For the random deterioration and nominal noise of 0.4%, in particular, the quantification success rate is above 92.0%, while the classification success rate is above 95.1%. Moreover, the speed of the data processing (1.7 s/sample) proves the suitability of this methodology for online diagnostics.