Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andrey Galinovsky"'
Autor:
Ivan Malashin, Nikolay Kobernik, Alexandr Pankratov, Yuri Andriyanov, Vitalina Aleksandrova, Vadim Tynchenko, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Dmitry Martysyuk, Andrey Galinovsky
Publikováno v:
Metals, Vol 14, Iss 8, p 929 (2024)
This study explores the potential application of the mechanical activation (MA) of nickel powder for incorporation into the composition of powder wire blends for the deposition of wear-resistant coatings. Nickel powder of PNE-1 grade was processed in
Externí odkaz:
https://doaj.org/article/e8f9d17a940e48f5af2b22fedaef93f9
Autor:
Ivan Malashin, Dmitry Martysyuk, Vadim Tynchenko, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Anton Nisan, Nikolay Novozhilov, Viatcheslav Zelentsov, Aleksey Filimonov, Andrey Galinovsky
Publikováno v:
Sensors, Vol 24, Iss 15, p 4959 (2024)
This study investigates the methods for controlling porosity in thermal pipes manufactured using selective laser melting (SLM) technology. Experiments conducted include water permeability tests and surface roughness measurements, which are complement
Externí odkaz:
https://doaj.org/article/42dcb816b1d44459b57db22b438f5f65
Autor:
Ivan Malashin, Vadim Tynchenko, Dmitry Martysyuk, Nikita Shchipakov, Nikolay Krysko, Maxim Degtyarev, Vladimir Nelyub, Andrei Gantimurov, Aleksei Borodulin, Andrey Galinovsky
Publikováno v:
Sensors, Vol 24, Iss 14, p 4488 (2024)
The influence of acoustic anisotropy on ultrasonic testing reliability poses a challenge in evaluating products from additive technologies (AT). This study investigates how elasticity constants of anisotropic materials affect defect signal amplitudes
Externí odkaz:
https://doaj.org/article/239603fc315a45b38a18ff22ebd6bc45
Autor:
Ivan Malashin, Vadim Tynchenko, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Nikolay V. Krysko, Nikita A. Shchipakov, Denis M. Kozlov, Andrey G. Kusyy, Dmitry Martysyuk, Andrey Galinovsky
Publikováno v:
Sensors, Vol 24, Iss 11, p 3563 (2024)
The paper introduces a computer vision methodology for detecting pitting corrosion in gas pipelines. To achieve this, a dataset comprising 576,000 images of pipelines with and without pitting corrosion was curated. A custom-designed and optimized con
Externí odkaz:
https://doaj.org/article/d6696afd35d14b8fb9d6171b68eeaaee
Publikováno v:
Nauka i Obrazovanie, Vol 0, Iss 2, Pp 24-35 (2014)
The article aims at solving a problem concerning the express evaluation of the wear-resistant nanostructure coatings quality using the method of ultra-fluid jet examination. Conducted research activities have shown that an intensity of the coating de
Publikováno v:
Science and Education of the Bauman MSTU. 12