scholarly journals MODEL OF ACOUSTIC EMISSION SIGNAL AT THE PREVAILING MECHANISM OF COMPOSITE MATERIAL MECHANICAL DESTRUCTION

Aviation ◽  
2010 ◽  
Vol 14 (4) ◽  
pp. 95-103 ◽  
Author(s):  
Sergey Filonenko ◽  
Tatiana Nimchenko ◽  
Alexandr Kosmach
Keyword(s):  
Acoustic Emission ◽  
Composite Material ◽  
Acoustic Emission Signal ◽  
Theoretical Research ◽  
Variable Velocity ◽  
Destruction Process ◽  
Mechanical Destruction ◽  
Research Results ◽  
Emission Signal ◽  
Signal Modelling

A model of acoustic emission signal formation at the prevailing mechanism of the destruction of composite materials is considered. The results of acoustic emission signal modelling are presented, taking into account the variable velocity of loading change. Acoustic emission signal experimental research results corresponding to theoretical research results are considered in this paper. It is shown that irregularity of the trailing edge of the acoustic emission signal is influenced by the change in the rate of the destruction process in composites. Santrauka Išnagrinetas akustines emisijos signalo modelis su vyraujančiu kompozitiniu medžiagu irimo mechanizmu. Pateikti akustines emisijos signalu modeliavimo rezultatai, ivertinant skirtinga apkrovos pasikeitimo greiti. Taip pat pateikti eksperimentinio akustines emisijos signalu tyrimo rezultatai, kurie sutampa su teoriniais tyrimais. Parodyta, kad akustines emisijos signalo galinio fronto netolygumas atsiranda tuomet, kai kinta kompozitines medžiagos irimo greitis.

scholarly journals IMPACT OF ROTATIONAL SPEED OF COMPOSITE FRICTION PAIR ON ENERGY ACCUMULATION IN ACOUSTIC EMISSION SIGNAL FORMATION

Aviation ◽  
2013 ◽  
Vol 17 (4) ◽  
pp. 129-136
Author(s):  
Sergey Filonenko ◽  
Aleksandr Kosmach
Keyword(s):  
Acoustic Emission ◽  
Composite Material ◽  
Total Energy ◽  
Acoustic Emission Signal ◽  
Rotational Speed ◽  
Friction Pair ◽  
Average Energy ◽  
Energy Accumulation ◽  
Emission Signal

The paper considers the results of modelling acoustic emission signals that form under variations in the rotational speed of a friction pair made of a composite material. It is found that the energy accumulation in acoustic emission signals that form relative to time takes place in accordance with linear law under normal wear of a friction pair. If the rotational speed of a friction pair increases, the rates of accumulated average energy and accumulated total energy of the acoustic emission signals that form also grow. The resulting acoustic emission signals have both accumulated average energy and accumulated total energy. A comparison of these two types of energy is conducted. It is shown that the application of data averaging reduces the rate of the accumulated energy of the acoustic emission signals that form.

scholarly journals ACOUSTIC EMISSION IN THE FRICTION OF COMPOSITE MATERIALS

Aviation ◽  
2014 ◽  
Vol 18 (2) ◽  
pp. 57-63 ◽  
Author(s):  
Sergey Filonenko ◽  
Aleksandr Kosmach
Keyword(s):  
Acoustic Emission ◽  
Composite Material ◽  
Composite Materials ◽  
Acoustic Emission Signal ◽  
Rotation Speed ◽  
Experimental Results ◽  
Material Surface ◽  
Parameter Change ◽  
Surface Layers ◽  
Emission Signal

The model of acoustic emission signal formation during friction and wearing of surfaces of composite materials was examined. The forms of acoustic emission resultant signals were shown. The regularities of parameter change in acoustic emission resultant signals with an increasing rotation speed were determined according to the results of modeling. It was found that theoretical and experimental results of acoustic emission signals registered during friction of composite material surface layers agree well.

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

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