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Compact System for Monitoring Acoustic Emission Parameters in Mechanical Testing of Materials.

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Title: Compact System for Monitoring Acoustic Emission Parameters in Mechanical Testing of Materials.
Authors: Drozdov, O. V.1 (AUTHOR) drozdov@ipp.kiev.ua, Volkov, Yu. M.1 (AUTHOR)
Source: Strength of Materials. May2023, Vol. 55 Issue 3, p516-524. 9p.
Subjects: Materials testing, Building material testing, Acoustic emission, USB technology, Fast Fourier transforms, Electronic equipment
Abstract: The system for monitoring acoustic emission (AE) parameters in mechanical testing of materials built up from electronic equipment and corresponding software is described. The electronic equipment based on a high-speed data storage module with a USB interface provides conversion of AE signals, their amplification, filtering, and digital input to a personal computer. The AEMonitor software performs continuous analog-digital conversion of AE signals, evaluation of their spectral distribution (fast Fourier transform), online display, accumulation, and storage of experimental data with load parameters for their further analysis. The software features an online automatic display of the spectral distribution of signals and corresponding stresses against the number of AE pulses from tested materials. The functional potentials of the system were verified in bending tests of corundum refractory and glass fiber plastic specimens with recording AE parameters. The relations between major AE parameters, form, and spectral distribution of pulses under loading of those materials were greatly different due to varied fracture mechanisms. [ABSTRACT FROM AUTHOR]
Copyright of Strength of Materials is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink><br /><searchLink fieldCode="DE" term="%22Building+material+testing%22">Building material testing</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+emission%22">Acoustic emission</searchLink><br /><searchLink fieldCode="DE" term="%22USB+technology%22">USB technology</searchLink><br /><searchLink fieldCode="DE" term="%22Fast+Fourier+transforms%22">Fast Fourier transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+equipment%22">Electronic equipment</searchLink>
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  Data: The system for monitoring acoustic emission (AE) parameters in mechanical testing of materials built up from electronic equipment and corresponding software is described. The electronic equipment based on a high-speed data storage module with a USB interface provides conversion of AE signals, their amplification, filtering, and digital input to a personal computer. The AEMonitor software performs continuous analog-digital conversion of AE signals, evaluation of their spectral distribution (fast Fourier transform), online display, accumulation, and storage of experimental data with load parameters for their further analysis. The software features an online automatic display of the spectral distribution of signals and corresponding stresses against the number of AE pulses from tested materials. The functional potentials of the system were verified in bending tests of corundum refractory and glass fiber plastic specimens with recording AE parameters. The relations between major AE parameters, form, and spectral distribution of pulses under loading of those materials were greatly different due to varied fracture mechanisms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Strength of Materials is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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