Kustov, A.

Migel, I.

English

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The Open-Access Journal for the Basic Principles of Diffusion Theory, Experiment and Application    Study using acoustic waves state of metal alloys after diffusion influences  with the aim of predicting their behavior  A. Kustov1., I. Migel2  1 Voronezh, Russia, Voronezh State Pedagogical University      2   Voronezh, Russia, Military Educational and Scientific Center of the Air Force Academy        named after Professor N. E Zhukovsky and Y.A. Gagarin akvor@yandex.ru  Metallic materials commonly used in practical applications objects. Their state plays a leading role in the process of operation. On the condition of the materials is influenced by various external influences. Such influences manifested in the process of manufacture and in the operation should be attributed primarily to processes of diffusion. They substantially change the physical parameters of the surface layers. Therefore, the actual task of assessment of health products and predicting their behavior. For solving this task was proposed to monitor the status of materials by means of acoustic waves (AW), i.e., to use AMD-methods [1,2]. GHz- range was chosen to ensure a sufficiently high resolution. Fig. 1. a) the dependence of the absorption level of AW in the surface layers of steel (38ХМЮА) depth of nitriding layer (t0 process 5600С); b) the dependence of the thickness of the layer with altered properties from the time of nitriding (at t0 = 5000С) obtained by the change of speed υR of surface acoustic waves  in steel (40ХНМА). The essence of the work was to develop methods for studying the state of the materials and in the assessment of the level of exposure of diffusion processes using the AMD methods. The objects of the study - model materials, and steel of various types. It is experimentally shown that AMD-methods sensitive to diffusion effects. For example, the processes of carburizing and nitriding of steels demonstrates the dependence of the number of characteristics of acoustic waves (AW) from the parameters of diffusion processes. These settings include, first, the concentration of a substance- diffusion, temperature and time of process. In Fig.1 shows examples of the dependence of the absorption level of AW in the surface layers of steel from the depth of the nitriding layer and the dependence of the This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/1brought to you by COREView metadata, citation and similar papers at core.ac.ukprovided by Qucosa - Publikationsserver der Universität Leipzig  thickness of the layer with altered properties from the time of nitriding obtained by the change of speed υR of surface acoustic waves  in steel .  The experiments confirm the high sensitivity of AMD-methods as parameters of the diffusion processes and their changes [3]. This fact allows to monitor the processes of diffusion, to control the structure of materials, identify and characterize system defects (e.g., microcracks, pitting, etc.).   References 1. Miguel I. A., Kustov A. I. Investigation of structural parameters of metallic materials and their influence on physical-mechanical properties methods of acoustic microscopy // Metallophysics and newest technologies. Intern. scientific.-tech. Sib./, Kiev. 2009. T. 31. No. 3. S. 381-388. 2. Miguel I. A., Kustov A. I. Development acoustic-microscopy methods to assess the impact of external influences on the surface state of materials and their physical properties // Bulletin of Tambov University., ser. “Natural and technical Sciences”. – Tambov. 2010. T. 15. vol.3. part I., pp. 1062-1063. 3. Kustov A. I., Miguel, I. A. Analysis of transformation of structure of surface layers of steels and their influence on the process of hardening of AMD-methods // Vestnik PNIPU. Mechanical Engineering, Materials Science., volume 18, number 4,  2016. – p. 134 - 146.  2

Study using acoustic waves state of metal alloys after diffusion influences with the aim of predicting their behavior

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Study using acoustic waves state of metal alloys after diffusion influences with the aim of predicting their behavior

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