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Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mises Destruction Cover

Amplitude-Energy Parameters of Acoustic Radiation with Composite Properties Changing and Mises Destruction

Open Access
|Oct 2023

Abstract

The main problem with using acoustic emission to control and diagnostics of composite materials and products from composite materials is the interpretation and identification of recorded information during development processes occurring in the material’s structure. This is due to the high sensitivity of the acoustic emission method to various influencing factorsand the practical absence of acoustic radiation models. To solve this problem, it is necessary to determine the influence of various factors on acoustic radiation parameters. In this study, based on the acoustic radiation developed model we simulate the influence of one parameter characterizing composite properties on acoustic emission energy parameters during composite material destruction by shear forces according to the von Mises criterion. Simulation of acoustic radiation under given conditions makes it possible to determine the patterns of acoustic emission signals energy parameters changes and their sensitivity to changes of influencing factor, as well as to obtain mathematical expressions for describing obtained patterns. The results of this case study can be useful for developing methods of control, monitoring and diagnostics of composite materials and products made from composite materials.

DOI: https://doi.org/10.14313/jamris/4-2022/29 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 19 - 24
Submitted on: Jun 10, 2022
Accepted on: Aug 4, 2022
Published on: Oct 20, 2023
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Sergii Filonenko, Anzhelika Stakhova, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.