Dr. Petr M. Pivkin Profile

Dr. Petr M. Pivkin

at Moscow State Univ of Technology "STANKIN"

SPIE Involvement:

Author

Publications (41)

Proceedings Article | 20 June 2024 Presentation + Paper

Digital twin of the technological process for grinding helical flutes of a cutting tool

Petr Pivkin

Proceedings Volume 13000, 1300003 (2024) https://doi.org/10.1117/12.3022984

KEYWORDS: Image processing, Matrices, Image sharpness, Digital image processing, Design, Sensors, Error analysis, Control systems, Profiling

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Proceedings Article | 20 June 2024 Poster + Paper

Physical and technological aspects of formation of metal matrix composites by laser-powder bed fusion

Petr Pivkin, Andrey Gusarov, Roman Khmyrov, Pavel Podrabinnik, Nikolay Babushkin, Pavel Peretyagin, Sergey Grigoriev, Igor Yadroitsev

Proceedings Volume 13005, 1300510 (2024) https://doi.org/10.1117/12.3022539

KEYWORDS: Particles, Materials properties, Copper, Matrices, Composites, Metals, Titanium, Alloys, Iron, Mixtures

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Proceedings Article | 20 June 2024 Poster + Paper

Method for detecting defects in direct metal deposition using a neural network

P. Pivkin, N. Khodanovich, S. Grigoriev, P. Peretyagin

Proceedings Volume 13005, 1300511 (2024) https://doi.org/10.1117/12.3022863

KEYWORDS: Neural networks, Education and training, Defect detection, Artificial neural networks, Metals, Image processing, Visual process modeling, Neurological disorders, Deep learning, COVID 19

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Proceedings Article | 18 June 2024 Poster + Paper

A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM

Petr Pivkin, Anton Yazev, Artem Ershov, Lyudmila Uvarova, Alexey Nadykto

Proceedings Volume 12998, 129981R (2024) https://doi.org/10.1117/12.3022861

KEYWORDS: Profiling, Image processing, Cameras, Image segmentation, Teeth, Reflection, Process control, Manufacturing, Error analysis, Digital image processing

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In precision engineering, helical surfaces on critical parts of equipment have become widespread. The article proposes an new method and practical recommendations for measuring geometric accuracy, linear and angular measurements, and studying the characteristics of helical surfaces and specialized equipment for monitoring the accuracy of helical surfaces. The uniqueness of the approach lies in the formation of key indicators of classification and filtering of a set of specialized measurement techniques based on scanning and digital image processing. A new method is proposed that makes it possible to adjust the measurement of the coordinates of the profile points of the helical surface in the radial section according to the shape of the focal area on the helical surface obtained by a reflected light camera. The work established new indicators of the effectiveness of tool control for high-speed multi-axis milling based on recommendations for the selection of methods and means of monitoring and control at the stage of technological preparation of production in real time. Criteria and indicators have been formed to eliminate errors at any stage in the process of digital control of images of the helical surface of a cutting tool for high-speed machining. The method consists in determining the law of preserving the shape of the profile, its further rotation and comparison with the original control profile by identifying a new relationship between the focal length and the profiling shape. The shape of the profiling curve is described depending on the angle of inclination of the helical flute, diameter, segmentation of the image in the focal zone and the magnitude of the error when measuring the profile in real time relative to the base profile. In this regard, the work justifies the practical adaptation of the search results for key measurement schemes in comparison with other existing methods for helical surfaces with an rake angle of the tangent to the profile in the axial section. The new level of production creates greater demand for product quality efficiency in a unified digital environment. As an advanced solution, the work proposes a method for compensating for errors in the shape of the focus area. This method allows you to compensate for the error in real time without stopping for readjustment. More accurate results allowed for an increase in accuracy up to 10 times compared to existing methods.

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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Proceedings Article | 27 November 2023 Poster + Paper

Computer-aided design system for the end mill made by laser ablation and grinding

Petr Pivkin, Anton Yazev, Vladimir Grechishnikov, Artem Ershov, Ilya Minin, Alexander Zelensky, Elena Alenina, Xiaohui Jiang, Alexey Nadykto

Proceedings Volume 12762, 1276210 (2023) https://doi.org/10.1117/12.2690322

KEYWORDS: Design and modelling, Computer aided design, Kinematics, Laser cutting, Computing systems, Teeth, Thermal deformation, Materials processing, Manufacturing

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Proceedings Article | 27 November 2023 Poster + Paper

Computer-aided design system for a drill with an improved shape of the flunk surface

Petr Pivkin, Artem Ershov, Vladimir Grechishnikov, Inna Botryakova, Alexey Nadykto

Proceedings Volume 12762, 1276211 (2023) https://doi.org/10.1117/12.2691036

KEYWORDS: Laser drilling, Laser ablation, Computer aided design, Computing systems, Teeth, Kinematics, Design and modelling, Control systems

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Proceedings Article | 27 November 2023 Poster + Paper

An approach for recognizing surface defects in products with a complex helical shape

Petr Pivkin, Anton Yazev, Vladimir Grechishnikov, Artem Ershov, Ilya Minin, Alexander Zelensky, Elena Alenina, Xiaohui Jiang, Alexey Nadykto

Proceedings Volume 12767, 127671T (2023) https://doi.org/10.1117/12.2690093

KEYWORDS: Quality control, Manufacturing, Image analysis, Detection and tracking algorithms, Reflection, Inspection, Industry, Histograms, Diamond

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Proceedings Article | 27 November 2023 Poster + Paper

New indicators and standards for measuring of the end mill's helical groove by image processing

Petr Pivkin, Artem Ershov, Vladimir Grechishnikov, Vladimir Kuznetsov, Ekaterina Nazarenko, Elena Yu. Malysheva, Alexey Nadykto

Proceedings Volume 12769, 127691P (2023) https://doi.org/10.1117/12.2690091

KEYWORDS: Image processing, Standards development, Reflection, Optical surfaces, Optical metrology, Inspection

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