2020 №02 (08) DOI of Article
2020 №02 (02)

Technical Diagnostics and Non-Destructive Testing 2020 #02
Technical Diagnostics and Non-Destructive Testing #2, 2020, pp. 3-12

Features of acoustic emission at evaluation of the state of materials

S.A. Nedoseka, A.Ya. Nedoseka, O.I. Boichuk, M.A. Yaremenko, M.A. Ovsienko

E.O. Paton Electric Welding Institute of NASU, 11 Kazymyr Malevych, Kyiv, 03150. E-mail: office@paton.kiev.ua

Conducted investigations were the base to formulate a hypothesis, which shows that acoustic emission is a mirror reflection, and, therefore, an acoustic certificate of material characteristics that change in operation, and, in particular, of their mechanical properties. Use of this hypothesis was verified in practice and allows prediction of breaking loading of the material without interrupting the object service and without the need to have prior knowledge of initial values of mechanical properties of the materials. In keeping with the presented hypothesis, AE reflects not the properties of the material proper, but their change, and it automatically adapts to such changes, irrespective of material type. Experiments, conducted with numerous materials, differing by their physical characteristics, including steels of different classes, aluminium alloys, concretes and composites, showed that limit breaking load of these materials by AE data is determined by the same algorithm with an error related just to the technical features of the measurement instruments. Accumulated experience allowed moving over to creation of an intelligent technology for assessment of structure material state in operation, and of AE systems based on it. Such systems have already become widely used at continuous monitoring of the state of the structure in production environment. 10 Ref., 8 Fig.
Keywords: acoustic emission, prediction of breaking load; physical characteristics of materials, vector of material state; damage, resource

Received: 25.01.2020


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8. Paton, B.E., Lobanov, L.M., Nedoseka, A.Ya., Nedoseka, S.A. (2018) On the application of AE technology in continuous monitoring of pipelines of power units operating at high temperatures. Int. J. of Condition Monitoring, 8. https://doi.org/10.1784/204764218824811570
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10. Nedoseka, A.Ya. (2013) Software of AE diagnostic systems EMA-3.9. Ibid., 3, 16-22 [in Russian].

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