High-carbon steel: microstructure and abrasive wear resistance of heat affected zone after welding with fast cooling

Autor: Yu. A. Kalinin, V. G. Efremenko, A.E. Kapustyan, T.A. Akrytova, M. N. Brykov, M.Yu. Osipov

Publikováno v: Проблеми трибології, Vol 26, Iss 1/99 (2021), Pp 59-65 (2021)

The goal of this work is to estimate the abrasive wear resistance of heat affected zone (HAZ) after welding high-carbon low-alloy steel 120Mn3Si2 with fast cooling. The following benchmark data were used: microstructures of HAZ of 120Mn3Si2 steel aft

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ea2d6f5f569ec708b236e1ac80baaf
https://doi.org/10.31891/2079-1372-2021-99-1-59-65

Mechanical properties of carbide-free lower bainite in complex-alloyed constructional steel: Effect of bainitizing treatment parameters

Autor: V. G. Efremenko, M. N. Brykov, I. V. Kushchenko, V. V. Kudin, Ivan Petryshynets, V. I. Zurnadzhy, K. Shimizu

Publikováno v: Metallic Materials. 58:129-140

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f603367d925df8b6a9ed97f4d0d1e0ef
https://doi.org/10.4149/km_2020_2_129

Investigation on friction surface of high-carbon low-alloyed steelafter abrasive wear

Autor: V. G. Efremenko, Ivan Petryshynets, M. I. Andrushchenko, PrJSC 'Zaporozhtransformator', M. N. Brykov, Maik Kunert, Ernst-Abbe-Hochschule Jena, Olaf Hesse, Yu. A. Kalinin, Michail Jurievich Osipov

Publikováno v: PROBLEMS OF TRIBOLOGY. 93:22-28

Samples of 120Mn3Si2 steel were water-quenched from 900 oC and tested on three-body abrasive wear laboratory machine. Microstructure, XRD investigation and microhardness measurement have been performed on worn surface. It was established three distin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::571a4d66eb1b53848a29a47985ef9493
https://doi.org/10.31891/2079-1372-2019-93-3-22-28

Two-body abrasion resistance of high-carbon high-silicon steel: Metastable austenite vs nanostructured bainite

Autor: P. Šuchmann, Th. Friedrich, M. N. Brykov, Olaf Hesse, Maik Kunert, V. G. Efremenko, K. Shimizu, V. I. Zurnadzhy

Publikováno v: Wear. :24-35

In the current study, a high-carbon, high-silicon steel (1.21 wt% C, 2.56 wt% Mn, 1.59 wt% Si) was subjected to different heat treatments ((a) quenching from 800–1000 °C; (b) quenching from 800–1000 °C with further bainitizing at 250 °C for 8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5499e933c5cfd2f83751db6fdca2707e
https://doi.org/10.1016/j.wear.2018.11.003

Machine Learning Modelling and Feature Engineering in Seismology Experiment

Autor: Szymon Wojciechowski, Ivan Petryshynets, Khaled Giasin, V. G. Efremenko, Serhii Anatolievich Sylenko, Catalin I. Pruncu, Daniel Yurievich Pimenov, M. N. Brykov

Publikováno v: Sensors
Volume 20
Issue 15
Brykov, M N, Petryshynets, I, Pruncu, C I, Efremenko, V G, Pimenov, D Y, Giasin, K, Sylenko, S A & Wojciechowski, S 2020, ' Machine learning modelling and feature engineering in seismology experiment ', Sensors, vol. 20, no. 15, 4228 . https://doi.org/10.3390/s20154228
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4228, p 4228 (2020)

This article aims to discusses machine learning modelling using a dataset provided by the LANL (Los Alamos National Laboratory) earthquake prediction competition hosted by Kaggle. The data were obtained from a laboratory stick-slip friction experimen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::508c44575a0b8d7b1eb1abc0a0dee685