相关函数在涡流检测信号提取分析中的应用

为降低涡流检测信号处理的硬件复杂程度及提升后续数据分析处理灵活度，在不借助复杂硬件自平衡技术电路前提下，在LABVIEW图形化软件平台中设计了相关函数算法程序，对示波器MDO4024C所采集的原始交流电桥信号及电桥激励信号分别进行自相关及互相关运算去噪，提取分析不锈钢管不同位置的涡流信号的幅值及相位，最后再将检测信号在极坐标图中分析显示。实验结果表明，这一方法可有效实现对不锈钢管缺陷涡流信号的去噪及特征信号提取。     

异型孔空心叶片壁厚检测的试验研究

发动机叶片的结构型式和制造误差，直接影响发动机的性能和使用寿命。运用超声波法和电涡流法，对两种不同材料和形式的试件进行了试验。电涡流法受到探头直径和试件几何尺寸的影响，测量误差大，超声波法由于存在测量盲区，测量厚度的下限受到限制。但测量值与实际值相关，若对探头加以改进，用于异型孔空心叶片壁厚检测是可行的。     

磁-光/涡流成像技术的有限元分析

近年来迅速发展的磁－光成像（ＭＯＩ）技术使涡流检测技术得到了新的进展。本文运用磁－光／涡流成像的有限元模型对典型的飞机构件缺陷（如连接飞机表面两个铝层的紧固件下面的裂纹）进行模拟。模拟结果表明，其磁场垂直分量的变化对这种结构来说是相当灵敏的，采用ＭＯＩ技术可以用来探测隐藏在紧固件帽下面的缺陷。     

翼型低雷诺数层流分离现象随雷诺数的演化特征

层流分离现象是翼型低雷诺数条件下出现的典型流场特征。层流分离流动中包含流动分离、转捩、再附等非定常流动结构，层流分离流动的形成与演化会对翼型气动特性产生恶化作用。采用大涡模拟（LES）方法对低雷诺数范围内不同雷诺数下的翼型层流分离流动开展精细数值模拟，研究了雷诺数对翼型气动特性的影响规律及作用机理。LES方法采用隐式亚格子模型，基于结构化拼接网格，对流项离散和时间推进方法分别采用AUSM⁺格式以及双时间步方法。验证算例计算结果表明数值模拟方法的正确性及可靠性，雷诺数对翼型气动特性具有显著影响。随雷诺数降低，时均分离泡外形增大、位置后移，平均阻力系数增大，特别是在较低雷诺数下，翼型升阻力系数随时间出现振荡现象。进一步研究表明，造成不同时均分离泡形态和气动特性的原因在于翼型上表面分离剪切层的失稳与转捩特征。随雷诺数降低，流动黏性增大，导致分离剪切层速度梯度减小，流动发生转捩及再附位置后移，直至翼型表面不再发生转捩和再附。     

Analysis and experiment of eddy current loss in Homopolar magnetic bearings with laminated rotor cores

This paper analyses the eddy current loss in Homopolar magnetic bearings with laminated rotor cores produced by the high speed rotation in order to reduce the power loss for the aerospace applications. The analytical model of rotational power loss is proposed in Homopolar magnetic bearings with laminated rotor cores considering the magnetic circuit difference between Homopolar and Heteropolar magnetic bearings. Therefore, the eddy current power loss can be calculated accurately using the analytical model by magnetic field solutions according to the distribution of magnetic fields around the pole surface and boundary conditions at the surface of the rotor cores. The measurement method of rotational power loss in Homopolar magnetic bearing is proposed, and the results of the theoretical analysis are verified by experiments in the prototype MSCMG. The experimental results show the correctness of calculation results.     

LES of the Sandia flame series D-F using the Eulerian stochastic field method coupled with tabulated chemistry

In this paper, the Eulerian Stochastic Field (ESF) model in the Transported Probability Density Function (TPDF) class model is combined with the Flamelet Generated Manifolds (FGM) model. This method solves the joint probability density function transport equation by ESF method that considers the interaction mechanism between flame and turbulence with high precision. At the same time, by making use of the advantage of the FGM model, this model is able to incorporate the detailed chemical reaction mechanism (GRI 3.0) with acceptable computational cost. The new model has been implemented in the open source CFD suite-OpenFOAM. Validation of the model has been carried out by simulating the Sandia flame series (three turbulent piloted methane jet flames) issued by the National Laboratory of the United States. The accuracy and advancement of the ESF/FGM turbulent combustion model are verified by comparing the LES results of the new model with the rich experimental data as well as the RANS results. The results demonstrate that the model has a strong ability in capturing combustion phenomena such as extinction and re-ignition in turbulent flame, which is essential in the accurate prediction of the combustion process in real combustion devices, for example, aircraft engines.     

A high-fidelity design methodology using LES-based simulation and POD-based emulation: A case study of swirl injectors

Engineering design is undergoing a paradigm shift from design for performance to design for affordability, operability, and durability, seeking multi-objective optimization. To facilitate this transformation, significantly extended design freedom and knowledge must be available in the early design stages. This paper presents a high-fidelity framework for design and optimization of the liquid swirl injectors that are widely used in aerospace propulsion and power-generation systems. The framework assembles a set of techniques, including Design Of Experiment (DOE), high-fidelity Large Eddy Simulations (LES), machine learning, Proper Orthogonal Decomposition (POD)-based Kriging surrogate modeling (emulation), inverse problem optimization, and uncertainty quantification. LES-based simulations can reveal detailed spatiotemporal evolution of flow structures and flame dynamics in a high-fidelity manner, and identify important injector design parameters according to their effects on propellant mixing, flame stabilization, and thermal protection. For a given a space of design parameters, DOE determines the number of design points to perform LES-based simulations. POD-based emulations, trained by the LES database, can effectively explore the design space and deduce an optimal group of design parameters in a turn-around time that is reduced by three orders of magnitude. The accuracy of the emulated results is validated, and the uncertainty of prediction is quantified. The proposed design methodology is expected to profoundly extend the knowledge base and reduce the cost for initial design stages.     

火箭发动机用薄壁合金管涡流特性分析

为了保证火箭发动机用薄壁合金管的可靠性，通过涡流检测参数的编程计算，具体分析了材料的主要涡流特性，制定了正确的火箭发动机用薄壁合金管检测方法。结果表明，此分析方法具有一定的工程应用价值。     

多喷管燃气降噪方案可行性数值研究

根据燃气射流噪声的发声机理及辐射特性,提出了采用多喷管代替单喷管进行降噪的方案。以四喷管为例,构建相应的物理及计算模型,综合运用三维大涡模拟得到的近场瞬态流场数据与FW-H面积分相结合的计算气动声学方法,对射流流场及声学特性进行数值研究。通过与单喷管对比,得出多喷管结构在保证发动机质量流率及推力性能的前提下,降低了整个观测区域的噪声,尤其是射流下游,并且还改变了噪声辐射的指向性,起到了明显的降噪效果,验证了该方案的可行性。     

涡流C扫描在钛合金SPF/DB结构检测中的实验研究

为了探索SPF/DB结构检测中有效的检测方法,应用涡流C扫描对钛合金SPF/DB结构进行了检测实验,将涡流C扫描结果和SPF/DB结构检测中常用的超声C扫描结果进行了对比分析。结果表明,涡流C扫描能够检测出SPF/DB结构的界面宏观缺欠以及一定尺度以上的界面微观缺欠,在SPF/DB结构检测中是可行的。有必要对该检测方法的有效性和检测结果的可靠性进行深入研究。