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Dive into the research topics where N. K. Myshkin is active.

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Featured researches published by N. K. Myshkin.


Wear | 1997

Classification of wear debris using a neural network

N. K. Myshkin; Oh-Kwan Kwon; A. Ya. Grigoriev; Hyo-Sok Ahn; Hosung Kong

Abstract In this work, an evaluation was made to prove the possibility of employing a neural net method for the classification of debris and monitoring of a lubricated contact pair. We trained a neural net to classify the severity of wear into two types from the morphological features of the wear debris. The following procedures were used. First, the shape of wear particles was characterized by Fourier descriptors. The Fourier descriptors were considered as coordinates of a point in multidimensional feature space. A set of points from a cluster, and the location and structure of the cluster depend on the morphology of the wear particles and the current conditions of the contact system. A distance distribution between the debris in the feature space was used to represent the location of the cluster. Second, we trained a back-propagation neural net. To train the neural net, we used the distance distribution corresponding to the different stages of the wear process as an input vector and encoded the wear rate as a desired response. The network was then further trained until the desired error goal was achieved. Finally, we tested the trained neural net. The ability of the neural net method to monitor wear is shown.


Journal of Friction and Wear | 2007

Tribological behavior of nanocomposites produced by the dispersion of nanofillers in polymer melts

S. S. Pesetskii; S. P. Bogdanovich; N. K. Myshkin

Literature data and original research in the field of the technology and tribology of nanocomposites produced by the dispersion of nanofillers including organoclay, carbon nanomaterials, and metal-containing compounds in thermoplastics and elastomers melts are analyzed. The features of their structure and tribological behavior are discussed. The combination of traditional and nanodispersed fillers in polymer composites is shown to hold promise, and the fields of the application of nanodispersed nanocomposites are considered.


Wear | 2001

The use of color in wear debris analysis

N. K. Myshkin; Hosung Kong; A. Ya. Grigoriev; Eui-Sung Yoon

A method and results of classification of metallic wear debris using their color features are presented. The color images of wear debris were used as initial data. The color features of the debris are specified by an HSI color model. Each particle is characterized by a set of statistical features derived from a distribution of HSI color model components. The initial feature set was optimized by principal component analysis. A multidimensional scaling procedure was used for definition of the classification plane. The selected features allow us to distinguish copper-based alloys, red and dark iron oxides and steel particles. A method was proposed of probabilistic decision of class assignment based on analysis of debris coordinates distribution in the classification plane. The obtained results have demonstrated the feasibility of using color features for automated wear particle analysis.


Wear | 1992

Quantitative analysis of surface topography using scanning electron microscopy

N. K. Myshkin; A. Ya. Grigoriev; O.V. Kholodilov

Abstract A supplement to the existing methods of studying topography is proposed, using methods based on analysis of the textural and morphological characteristics that are widely used in image processing theory. A survey of methods of studying roughness, allowing both the images of surfaces and a quantitative estimate of the surface properties to be obtained simultaneously, is presented. A method of evaluating topography using scanning electron microscopy and a personal computer is described.


International Journal of Machine Tools & Manufacture | 1998

Texture classification of engineering surfaces with nanoscale roughness

A.Ya. Grigoriev; S.A. Chizhik; N. K. Myshkin

The spatial structure of the surface layer, or texture is important for surface topography characterization. In many respects a texture determines contact behavior of the rough surfaces. Despite increasing role of the precision mechanics, the texture of engineering surfaces have not been adequately investigated. In this paper pattern recognition theory is introduced to perform surface textures classification. The height-coded images obtained by atomic force microscopy were used as initial data. The images represent the surface textures of various materials formed by various processes. We take the following procedure for the texture classification. First, the texture was characterized by a matrix of co-occurrence of image contrast. Next, the matrix is transformed into feature vector by the Karhunen-Loeve transformation. The feature vector was considered as coordinates of a point in the multidimensional feature space. The location of the point depends on the peculiarities of the surface texture. The set of the points form clusters that correspond to different classes of textures. The mutual arrangement of the points and structure of the clusters were analyzed by the multidimensional scaling procedure. It was founded that there is at least four classes of surface relives. The first three of them related to the properties of surface material and the last to the process of growth and crystallization on the interface of different materials.


Journal of Friction and Wear | 2008

Morphology: Texture, shape, and color of friction surfaces and wear debris in tribodiagnostics problems

N. K. Myshkin; A. Ya. Grigoriev

Fundamentals and methods of morphological analysis of images of friction surfaces and wear debris are discussed in terms of practical problems of tribodiagnostics. A review of widespread approaches to the description of texture, shape, and color of tribological objects is presented. Their parametrical models and methods of classification of morphological types related to the mechanisms of operational degradation of the friction surface are considered. In addition, basic trends of development of morphological analysis methods in the investigation of friction and wear are discussed.


Journal of Friction and Wear | 2014

Reciprocating MTU-2K7 millitribometer

A. Ya. Grigoriev; D. M. Gutsev; A. P. Zozulya; I. N. Kovaliova; V. G. Kudritskii; N. K. Myshkin; M. S. Semenyuk

The design of the reciprocating tribometer for testing materials under the sphere-plane scheme in the millisize range of loads and speeds is discussed. The device enables elastic and elasto-plastic contact for nearly all materials for friction units. Wear measurements have been carried out in a system based on a Linnik micro interferometer. The modular design of the device enables it to be calibrated and certified in the laboratory.


Journal of Friction and Wear | 2012

Modeling friction of tribological composite coatings

I. G. Goryacheva; N. K. Myshkin; E. V. Torskaya; Yu. V. Kornev; D. M. Gutsev; V. G. Kudritskii; I. N. Kovaleva

The paper reports the results of the indentation of Ni-P coatings on substrates made of various materials and the results of the calculation of their elastic modulus. The results of the tribological study of coatings of different thicknesses are presented. The obtained values of the elastic modulus and friction coefficient are used to determine the stress state of the Ni-P coatings during friction.


Journal of Friction and Wear | 2012

Friction and wear of powder coatings of epoxy composites with alumosilicate nanoparticles

A. Ya. Grigoriev; G. V. Vaganov; V. E. Yudin; N. K. Myshkin; I. N. Kovaleva; I. V. Gofman; L. N. Mashlyakovskii; I. V. Tsarenko

The paper studies the effect of alumosilicate nanofillers of tubular and lamellar shape on the friction and wear of epoxy composites. It is shown that the influence of concentration and shape of the fillers on the tribological behavior of the composites is due to variations in their viscoelastic properties and shielding of the contact area of the matrix material with the metallic counterbody by the filler particles. The data evidence that at equal concentrations of alumosilicate fillers in the epoxy matrix, the best tribological characteristics are provided in the case of tubular-shaped particles.


Journal of Friction and Wear | 2008

Friction of brushlike self-assembled monomolecular coatings

A. Ya. Grigoriev; I. N. Kovaleva; N. K. Myshkin

Friction modes of self-assembled monomolecular coatings (SAM) based on dodecyclophosphoric acid ester and its derivatives on a silicon substrate are investigated. The antifriction properties of the films are shown to be due to their ability to decrease the interfacial energy of friction contact. Models are suggested for friction force computation for single and multiple molecularly smooth contacts. They are based on consideration of the thermodynamic cycle of formation and break-off of the friction junction. On the example of composite coatings having different surface energy, a possible means of regulation of the tribological parameters of the silicon-SAM-silicon system is discussed.

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A. Ya. Grigoriev

National Academy of Sciences of Belarus

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S. F. Ermakov

National Academy of Sciences of Belarus

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Hosung Kong

Korea Institute of Science and Technology

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I. N. Kovaleva

National Academy of Sciences of Belarus

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S. P. Bogdanovich

National Academy of Sciences of Belarus

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S. S. Pesetskii

National Academy of Sciences of Belarus

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L. V. Markova

National Academy of Sciences of Belarus

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V. M. Makarenko

National Academy of Sciences of Belarus

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Hung-Gu Han

Korea Institute of Science and Technology

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D. M. Gutsev

National Academy of Sciences of Belarus

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