Prof. Alexey B. Nadykto Profile

Prof. Alexey B. Nadykto

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Publications (3)

Proceedings Article | 23 November 2024 Poster + Paper

Interaction of electromagnetic waves with and thermal processes in the two-layer spherical nanostructures

Liudmila Uvarova, Yana Burenok, Marina Smirnova, Irina Krivenko, Maxim Karpov, Nikolay Tcherniega, Anna Kudryavceva, Alexey Nadykto, Petr Pivkin

Proceedings Volume 13246, 132461I (2024) https://doi.org/10.1117/12.3037639

KEYWORDS: Electromagnetic radiation, Quantum particles, Particles, Electromagnetism, Electrons, Spherical lenses, Algorithm development, Magnetism, Ions, Optical spheres

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Although the interaction of electromagnetic waves with dispersed systems has been studied for many decades, a number of important problems still remain unresolved. This primarily applies to systems with nonlinear properties composed of smaller particles, such as nano- and meso-particles. Also, since the interaction of electromagnetic waves with dispersed media leads to various induced effects, modeling the disperse media properties requires the problems of the interaction of the electromagnetic wave with disperse particles have to be solved simultaneously with the coupled heat and mass transfer problem with accounting for heating, evaporation and other effects, which that appear, for example, during interaction of the electromagnetic field with liquid crystal particles. The interaction of electromagnetic waves with nano- and meso-particles is particularly important when modeling and designing numerous technologies of nanomaterial manufacturing. In this work, the interaction of electromagnetic waves with a two-layer spherical nanostructure was investigated. The propagation of longitudinal electromagnetic waves, the influence of which can be very important in the case of meso- and nano-sized particles, and the influence of electromagnetic radiation on thermophysical processes were studied simultaneously. A new algorithm for modeling the interaction of longitudinal electromagnetic waves with the systems being studied here was developed using the solution of the Maxwell-Schrödinger equations. Several relevant examples of the interaction of electromagnetic waves with nonlinear media were investigated and the possibility of the Aharonov-Bohm effect for longitudinal waves, associated with the influence of the quantum nature of nanoparticles, was pointed out. The possibility of a noticeable contribution of longitudinal waves as components of the electromagnetic field in the case of meso- and nanosystems was pointed out. The densities of the heat sources caused by transverse and longitudinal waves were derived, heat exchange with these heat sources was studied, and the possibilities of phase transitions such as melting and evaporation caused by the heat sources were also explored. Here we also show that near the critical point, the relationship for the heat capacity in the form of a power function of the ratio of the difference between the critical temperature and the media temperature to the critical temperature can be expressed in terms of the densities of the heat sources caused by the transverse and longitudinal waves.

Proceedings Article | 20 November 2024 Poster + Paper

A computer vision system for measuring the geometric parameters of helical surfaces obtained by multicoordinate grinding on CNC machines

Petr Pivkin, Anton Yazev, Vladimir Grechishnikov, Ekaterina Nazarenko, Elena Yu. Malysheva, Lyudmila Uvarova, Alexey Nadykto

Proceedings Volume 13241, 1324124 (2024) https://doi.org/10.1117/12.3037374

KEYWORDS: Image processing, Surface finishing, Image segmentation, Computing systems, Computer vision technology, Matrices, Abrasives, Control systems, Cameras

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Helical surfaces are important elements of solid end mills. Their production is carried out using multi-coordinate grinding. Shape errors and reduction in the quality of the screw surface appear due to abrasion, high pressure, and wear of the grinding wheel. Therefore, it is extremely important to measure geometric accuracy, to perform linear and angular measurements, and to study the properties of rake helical surfaces. The paper proposes improvements to monitoring of helical surfaces via the use of a new computer vision system for assessing microtexture on helical surfaces after multiaxis grinding on CNC machines. A computer vision system was developed to evaluate defects on helical surfaces after multi-coordinate grinding on CNC machines, and a comprehensive analysis of existing indicators for recognizing the defect was carried out in a guaranteed range of probability of finding a solution of 99.7% for the distribution density of grinds. To verify the developed method, the accuracy of surfaces obtained by using the one was compared with the measurements carried out using specialized equipment for the control of the accuracy of helical surfaces. A new system for monitoring the accuracy and defects of cutting edges, helical front and rear surfaces allows establishing the main geometric parameters of the cutting edges and cutting wedge such as flute angle and rake angle at the apex using key indicators of the difference in color intensity in the focal zone of the image. When developing this approach, it was found that areas with smaller curvature of the rake surface are more susceptible to the accumulation of helical flute pitch errors after grinding. Experimental studies of the system operation were conducted to provide empirical evidence on helical surfaces after multiaxis grinding on CNC machines, demonstrating excellent convergence and defect recognition accuracy. The accuracy of determining the results of the inclination angles of the microtexture surface after grinding at the control point is 2-2.5 degrees, which allows you to form a comprehensive solution for scanning the surface, which will allow you to apply a simple method of control using a camera in reflected light.

Proceedings Article | 18 June 2024 Poster + Paper

A new algorithm for recreating the technological process of high-speed multicoordinate processing based on improving key indicators of image recognition

Petr Pivkin, Artem Ershov, Vladimir Grechishnikov, Lyudmila Uvarova, Vladimir Kuznetsov, Anton Yazev, Michail Prus, Dazhong Wang, Xiaohui Jiang, Rao Yao, Alexey Nadykto

Proceedings Volume 12998, 129981Q (2024) https://doi.org/10.1117/12.3022523

KEYWORDS: Image processing, Profiling, Detection and tracking algorithms, Image filtering, Design, Control systems, Point clouds, Tunable filters, Resistance, Reflection

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