Numerical analysis for the matching of the core driven compression system in a double bypass engine

The numerical analysis for the matching of the core driven compression system in a double bypass variable cycle engine was presented in this paper.The system consists of a one-stage-core driven fan stage(CDFS),an inner bypass duct and a five-stage high pressure compressor(HPC),providing two basic operating modes: the single bypass mode and the double bypass mode.Variable vanes are necessary to realize the mode switch of the system.The correct matching in the double bypass mode requires a proper combination of the mass flow,total pressure ratio and blade speed.The work capacity of the system decreases in the double bypass mode and the pressure ratio tends to decrease more for the CDFS and the front stages of the HPC.The overall system efficiency is higher in the double bypass mode.The radial distributions of aerodynamic parameters are similar in different modes.The notable redistribution of mass flow downstream the CDFS in the single bypass mode leads to strong radial flows and additional mixing losses.The absolute flow angles into the inner bypass increase for the inner span and decrease for the outer span when the system is switched from the single bypass mode to the double bypass mode.     

New Neural Network Response Surface Methods for Reliability Analysis

This article presents two new kinds of artificial neural network (ANN) response surface methods (RSMs): the ANN RSM based on early stopping technique (ANNRSM-1), and the ANN RSM based on regularization theory (ANNRSM-2). The following improvements are made to the conventional ANN RSM (ANNRSM-0): 1) by monitoring the validation error during the training process, ANNRSM-1 determines the early stopping point and the training stopping point, and the weight vector at the early stopping point, which corresponds to the ANN model with the optimal generalization, is finally returned as the training result; 2) according to the regularization theory, ANNRSM-2 modifies the conventional training performance function by adding to it the sum of squares of the network weights, so the network weights are forced to have smaller values while the training error decreases. Tests show that the performance of ANN RSM becomes much better due to the above-mentioned improvements: first, ANNRSM-1 and ANNRSM-2 approximate to the limit state function (LSF) more accurately than ANNRSM-0; second, the estimated failure probabilities given by ANNRSM-1 and ANNRSM-2 have smaller errors than that obtained by ANNRSM-0; third, compared with ANNRSM-0, ANNRSM-1 and ANNRSM-2 require much fewer data samples to achieve stable failure probability results.     

压气机进气畸变诱导叶片振动数值研究

介绍了一种考察进气畸变对压气机叶片振动及结构强度影响的流固耦合分析方法。对压气机进行全周数值模拟分析进气总压畸变下转子流场的非定常响应;并结合有限元模型分析叶片模态及振动响应,通过气动模型与结构模型的不断信息迭代实现叶片振动过程的模拟。分析表明,周向总压畸变会引起叶片气动力在周向分布的不均匀及叶片应力波动,导致压气机叶片振动,对其结构稳定性产生重要影响。     

基于遗传算法的高超声速曲面压缩进气道反设计

结合计算流体力学和遗传算法,建立了一种高超声速曲面压缩进气道的反设计方法。根据压力分布反设计了压缩型面。结果表明,该曲面压力分布与目标压力分布符合良好,从而验证了反设计方法的正确性。采用此反设计方法,设计了某高超声速曲面压缩进气道,并和等熵压缩二维进气道进行了比较。研究发现,在其它性能参数几乎相等情况下,曲面压缩进气道总压恢复较等熵压缩基准进气道提高9.7%,长度缩短5.6%。吞入23mm前体附面层后,基准进气道不起动,而曲面压缩进气道总压恢复系数仅下降5.4%,表现出良好的吞附面层能力。     

航空发动机状态变量模型的QPSO寻优混合求解法

针对航空发动机控制和故障诊断中的状态变量模型求解存在的系数矩阵精度不高的问题,结合阶跃响应法和拟合法的基础上,提出了一种基于量子粒子群寻优（QPSO）求取发动机状态变量模型的混合求解法。QPSO优化算法求解A,C矩阵使得状态变量模型和非线性模型在动态过程具有较好的吻合,阶跃响应法求取B,D矩阵保证了模型稳态响应一致。利用混合求解法建立了某型涡轴发动机在某一稳态工作点下的小偏离状态变量模型。仿真结果表明,这种方法不仅增强了状态变量模型的求解精度,相对于单纯的拟合法缩短了求解时间,精确的状态变量模型为进一步的故障诊断和控制系统设计提供了条件。     

结冰对飞机动态响应特性的影响

结冰条件下运输类飞机的适航审定是确保飞行安全的重要保障.建立了飞机本体非线性动力学模型和不同状态的结冰模型,计算了结冰前后飞机对驾驶员控制输入指令的响应特性,并探讨了结冰对飞机爬升性能的影响.仿真结果表明,结冰会导致舵面操纵效率下降,从而引起动态响应特性的恶化,而且飞机出现不对称结冰时将严重偏离正常状态、危及飞行安全,...     

Research on nonlinear model predictive control for turboshaft engines based on double engines torques matching

In order to reach a compromise between fast response control and torques matching control in double turboshaft engines, research on nonlinear model predictive control for turboshaft engines based on double engines torques matching is conducted. Meanwhile, a Nonlinear Model Predictive Control (NMPC) method is proposed, which combines the control index of the power turbine speed with torques matching of double engines creatively. In addition to the control index, the difference of output torques between each engine is also incorporated in the objective function as a penalty term to ensure constant speed control and short torques matching time. Simulation results demonstrate that relative to unilateral torques matching, the settling time of the bidirectional matching method can be reduced by nearly 30.8%. Nevertheless, compared with the bidirectional torques matching method under the cascade PID controller, the NMPC method can decrease the overshoot of the power turbine speed by 65% and reduce the matching time by 15.5% synchronously. Besides fast response control of turboshaft engines, fast torques matching control of double engines is accomplished as well.     

A double integral method for quantitative evaluation of influence on thin-walled casing response caused by bearing uncertainties

Bearings in a gas turbine engine are the key connecting components transmitting force and motion between rotors and thin-walled flexible casing. The bearing stiffness and damping of squeeze film damper (SFD) nearby bearings are easily affected by many factors, such as assembly process, load condition and temperature variation, resulting in uncertainties. The uncertainties may influence the response of the measuring point on the casing. Hence, it is difficult to carry out the fault diagnosis, whole machine balancing and other related works. In this paper, a double integral quantitative evaluation method is proposed to simultaneously analyze the influence of two uncertain dynamic coefficients on the response amplitude and phase of casing measuring points. Meanwhile, the coupling influence of stiffness and damping accompanied by dramatic changes with rotational speeds are essentially discussed. As an example, a typical engine bearing-casing system with complex dynamic characteristics is analyzed. The impact of uncertain dynamic coefficients on the unbalance response is quantitatively evaluated.     

光电倍增管寿命试验研究与系统设计

光电倍增管(PMT)是空间光学探测应用的重要探测器件之一,由于制造工艺的限制,光电倍增管具有很强的个体差异性。设计了一套应用于星载激光大气探测雷达的光电倍增管寿命评估自动测试系统,并建立科学的测试方法与流程,通过对光电倍增管光电响应与暗电流等关键参数的试验、监测与分析,研究评估了其寿命特性。     

Solar wind-driven electron radiation belt response functions at 100-min time scales

We present a simple yet numerically robust technique, using autoregressive linear filters, to remove unwanted “colored noise” from solar wind and radiation belt electron data at sub-daily resolution. The remaining signal is then studied using finite impulse response linear prediction filters to represent the driven portion of the linear dynamics that describe the coupling between solar wind speed and electron flux. Sub-daily resolution response profiles covering magnetic L-shells between 1.1 and 8.0 R_E are presented which are consistent with daily resolution response functions. Namely, while there is strong global coherence governing electron flux dynamics, there are at least two distinct responses. The first response is an immediate dropout of electrons between L = 4 and L = 7 that is at least a partly adiabatic effect associated with enhancements in the ring current. This is followed by a 1–2 day delayed enhancement across the same L-shells that is likely a result of increased radial diffusion. The second response is an immediate enhancement seen between L = 3 and L = 4 with a typical duration of less than one day. Plausible explanations for this second response are briefly discussed, but neither empirical nor theoretical evidence can establish conclusively a definite physical cause. Finally, the response profiles show significant solar cycle and seasonal dependencies, indicating that better model output might be achieved with: (1) additional simultaneous solar wind inputs; (2) more sophisticated dynamical model structures capable of incorporating non-linear feedback; and/or (3) time-adaptive linear filters that can track non-stationary dynamics in time.