National Repository of Grey Literature 23 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Small Icing Wind Tunnel
Horák, V. ; Hoření, Bohumír ; Rozehnal, D. ; Svoboda, E.
The paper deals with a small icing wind tunnel realized at the Department of Aerospace and Rocket Technologies in conjunction with the aircraft icing simulation project. There are presented some results of the airfoil ice accretion prediction and various resulting ice shapes from icing wind tunnel. Appropriate consideration is given to the ice shape geometry measurement either.
Measurement of the nonstationary flow fields around the vibrating profile with optical methods. Part II - Evaluation
Horáček, Jaromír ; Vlček, Václav
Report deals with the evaluation of the measurement of the nonstationary flow fields around the vibrating 18% double arch profile with the method of the synchronized interferometry. The profile had two degrees of freedom.
Architecture optimization of acoustic emission source recognition neural networks
Chlada, Milan ; Blaháček, Michal ; Převorovský, Zdeněk
In the contribution, the acoustic emission model source recognition method is described and discussed. Weighted combinations of tree model pulses were excited in aircraft structure. For the original weight estimation, various artificial neural networks were tested. Within the architecture optimization, the sensitivity analysis of trained networks enabled targeted inputs reduction towards the minimal number of parameters needed for reliable model sources apportionment estimation.
Acoustic emission of cyclical loaded aircraft structures
Blaháček, Michal ; Skála, J.
Aircraft structures fatigue failure is considerable risk of today´s aviation safety. The problem is usually solved by critical parts preventive replacement, regardless of parts real state. It is very expensive and uneconomical solution. NDT method capable to find the changes in the part, that are indication of crack creation and growth, would be very useful and money saving.Acoustic emission (AE) is a NDT procedure that is candidate for the method. In the Aeronautical Research and Test Institute (VZLÚ) set of cyclical fatigue tests was done. During the test, loaded sample AE activity was monitored, during the loading sequence pauses, the sample state was checked using NDT methods such us ultrasound, eddy current, optical methods, non-linear ultrasound, etc. Presented paper attends to desription and analysis of AE measurement on cyclical loaded aircraft structure.
Nelineární časově reversní ultrazvuková-tomografie
Převorovský, Zdeněk ; Krofta, Josef ; Převorovský, David
Nonlinear Elastic Wave Spectroscopy (NEWS) becomes new effective method for non-destructive testing of complex structures providing high sensitivity of damage detection. One of the most promising NEWS procedures is Nonlinear Time Reversal Acoustics (NLTRA) realizable in a lot of different ways. Common NLTRA procedure is mostly global, which means that localization of defect by this procedure can be often difficult. A modification of NLTRA is proposed in this paper, based on similar arrangement as ultrasonic tomography. Computer controlled switching between transmitting and receiving transducers is realized by specially designed high-voltage relay multiplexer.
Expertní detekce příchodu signálu AE
Chlada, Milan
Accurate acoustic emission (AE) source location is the primary goal of the defect anylysis following the AE signal detection. The source localization is mostly based on arrival time differences of signals recorded by several transducers. Considerable signal distortion happens during the wave propagation through the solid. Inaccurate determination of signal onset and arrival time differences respectively, are the greatest sources of localization errors.Especially, in a case of figher requirements on accuracy and robustness, the results of currently used localization methods appear to be insufficient. In the paper, recently improved version of the new signal-shape based algorithm, modelling an expert system of the elastic wave arrival detection, is introduced. In many applications, this method, based on signal energy and local gravity center evolution, has been proved as rugged enough, fast and easily applicable.
Aerodynamické síly, tlak a rychlost získané z vizualizace nestacionárního proudění kolem kmitajícího profilu-předběžné výsledky
Vlček, Václav ; Horáček, Jaromír
The contribution presents results of optical measurements of flow field around a self-oscillating double circle (DC)18% profile elastically supported in a measurement section of a wind tunnel. In a lower frequency range, the profile can vibrate like a dynamic system with two degrees of freedom with translation and rotation. The schlieren and interferometry methods were used for visualization of a two-dimensional flow in different phases of the profile motion. The total aerodynamic force, pressure and flow velocity on the profile surface were evaluated in given time instants.
Modelování klasické námrazy na profilu křídla
Horák, V. ; Hoření, Bohumír
The paper presents the rime ice accretion prediction code. Model includes the calculation of a velocity distribution, droplet motion equations and detetrmination of a water mass flux impacting on the wing airfoil surface. Changing the airfoil shape is illustrated in compare of experimental results.
Sensitivity Analysis of Neural Networks and the Correction of Emission Parameters to One Reference Source Location
Chlada, Milan ; Převorovský, Zdeněk
In the report, detailed description of neural network sensitivity analysis - the method for insignificant input parameters reduction - is mentioned. The starting point of any AE signal parameterization is the signal onset detection. The results of currently used localization methods appear to be insufficient. Hence, the new signal-shape based algorithm, modeling an expert system of the elastic wave arrival detection, has been proposed and tested. It is described in the first part of the report. The last part is located to the correction of AE signal parameters to one reference location in source vicinity. To illustrate the new partial inverse problem solution method, the numerical models with artificial emission sources and both theoretical and practically recorded Green's functions are discussed.
Signal parameterisation and AE sources identification
Blaháček, Michal ; Převorovský, Zdeněk ; Chlada, Milan
In the paper, the most typical acoustic emission (AE) signal parameters are described. Sensitivity analysis method - it is a method usable to select proper signal parameters for particular AE problem solution, is discussed. In the second part of the paper, a method of hidden AE events (hidden in high background noise) detection is described.

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