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Dear users, we are glad to welcome you on the site of peer-reviewed scientific and practical Journal of T.F. Gorbachev Kuzbass State Technical University – Bulletin of the Kuzbass State Technical University.

Bulletin of the Kuzbass State Technical University journal – is a scientific cross-disciplinary journal, being a collection of articles about original researches in the field of earth science, mechanical engineering and engineering science, chemical engineering made by scientific and academic staff, PhD students, candidates and postgraduate students from Russian and foreign universities.

The editorial board of "Bulletin of the Kuzbass State Technical University " does not charge authors for the preparation, placement and printing of materials.

In 2023, the Higher Attestation Commission under the Ministry of Science and Higher Education of the Russian Federation categorized scientific journals from the List of the Higher Attestation Commission into categories K1, K2, K3. https://vak.minobrnauki.gov.ru/documents#tab=_tab:editions~

Bulletin of the Kuzbass State Technical University is included in the K1 category. https://vak.minobrnauki.gov.ru/uploader/loader?type=19&name=92685697002&f=21725

About the journal

  • Peer-reviewed scientific and practical journal Vestnik of Kuzbass State Technical University was launched in 1997, as a scientific periodical.
  • The journal is published with periodicity of 6 issues per year.
  • Quality control and maintenance of scientificity of publications is provided by actual system of peer-review, involving leading scientist, representing various higher education institutions and scientific organizations. Editorial board of the journal includes the scientists of leading specialized scientific schools, with the membership of the international editorial board
  • ISSN (print) 1999-4125
  • ISSN (online) 2949-0642
  • All articles have Digital Object Identifier (DOI), which makes them accessible and convenient for citing in Russian and foreign media.
  • It’s possible to subscribe to the magazine (Subscription index is P4471 as per the electronic catalog of the Russian press "Post of Russia"
  • Publisher: T. F. Gorbachev Kuzbass State Technical University
  • Address Editorial board: 28, Vesennyaya str., Kemerovo, Russian Federation, 650000
  • Since 2007, the journal has been presented in the Scientific Electronic Library eLIBRARY.RU and thus connected to the abstracts database of the Russian Science Citation Index (Science Index).
  • THE JOURNAL IS REGISTERED by the Federal Service for Supervision in the Sphere of Communication, Information Technologies and Mass Communications - Certificate PI No. FS77 - 74612 of December 24, 2018.

The electronic version of the journal is available on:

Cайт ФГБОУ ВПО «КузГТУ»
Cайт Научной Электронной Библиотеки
КиберЛенинка
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Latest Issue №3, 2026

№3 2026, Pages 5-14
Zverovshchikov A.E., Kosheleva J.N., Zverovshchikov V.Z., Zverovshchikova N.V.

Determination of cutting forces during deep grinding of hard alloy products with profile diamond wheels

Deep grinding with profile diamond wheels cutting force layer thickness single grain cutting part feed speed and sliding line theory

№3 2026, Pages 15-24
Parhomenko V.A., Ababkov N.V., Danilov V.I., Smirnov A.N., Pimonov M.V., Knyaz’kov K.V.

Influence of the welding method of corrosion-resistant austenitic 0.12C-18Cr-10Ni-Ti steel on the structural state

manual arc welding laser welding structural condition corrosion-resistant steel austenitic grade mechanized welding

№3 2026, Pages 25-35
Ababkov N.V.

On the issue of creating a system for searching for key diagnostic features of technical objects: foundations and prerequisites

non-destructive testing key diagnostic indicator carbon structural steel heat-resistant structural steel technical object safe operation prediction residual life assessment

№3 2026, Pages 36-46
Kizilov S.A., Balovnev E.A., Nikitenko M.S.

MEMS accelerometer-based tracking of structural displacement in mining equipment

powered roof support accelerometer automatic control system inclination angle spatial position

№3 2026, Pages 57-68
Shtepa V.N., Kireev S.Yu., Kozyr A.V., Shikunets A.B.

Combined electrochemical technology for processing organic wastes from local treatment plants into a component of organic fertilizer

organic wastes local treatment plants electrochemical treatment high-molecular biologically active compound ferrate organic fertilizer soil-ground circular economy

№3 2026, Pages 69-78
Andreeva T.A., Andreev V.A., Papin A.V.

Development of an electrochemical cell based on solid hydrocarbons from Kuzbass

electrochemical cell solid hydrocarbons coal electrodes Kuzbass power sources alternative energy

№3 2026, Pages 79-88
Fedorova N.I., Zykov I.Yu., Tsvetkov V.E.

Physico-chemical and sorption properties oxidized brown coal carbonysates

brown coal carbonisates oxidative modification surface functional groups specific surface area adsorption

№3 2026, Pages 47-56
Novikov O.N., Van E.Yu., Mikhailov V.G.

Study of swelling of wood as a metamaterial

wood swelling swelling swelling agent capillary forces pressure swelling dielectric constant metamaterial

№3 2026, Pages 89-99
Khaladov A.Sh.

Geological and Technological Indicators of High-Temperature Carbonate Reservoir Development Options: The Case of the Khankala Field in the Grozny Oil Region

high-temperature reservoir carbonate deposits bottomhole formation zone oil recovery factor oil production intensification Grozny oil region

№3 2026, Pages 100-109
Kurilko A.S., Khokholov Yu.A., Kiselev V.V., Solovev D.E., Hosoev D.V.

Restoration and stabilization of negative temperature conditions of soils of garage-type structures in the permafrost zone

Foundations of above-ground structures cryolithozone permafrost soils temperature regime seasonal cooling units (SCU) mathematical modeling thermal insulation

№3 2026, Pages 110-120
Bessarabova A.A., Fomin A.I.

Review of contemporary issues of forecasting and preventing geodynamic phenomena in coal mines

geodynamic phenomena coal mines rock bursts sudden outbursts geomechanical monitoring

№3 2026, Pages 121-130
Portola V.A., Bobrovnikova A.A., Kirenberg E.A.

Assessment of the state of an endogenous fire in a mortified mine that arisen under the influence of open-mining

spontaneous combustion source endogenous fire coal mothballed mine open pit fire extinguishing fire indicator gases aerodynamic coupling wind pressure

№3 2026, Pages 131-143
Filimonov K.A., Akimov K.V.

Research on the technical capabilities of the face conveyors at shearer bi-directional cutting sequence

scraper (armored) face conveyor conveyor receiving capacity conveyor chain speed loading cross-section area of a conveyor

№3 2026, Pages 144-153
Klishin N.I.

Localization of forest and peat fires by explosive method in the vicinity of building stone mining at the Samarskoye deposit

forest area quarry fire explosion charge fire localization

№3 2026, Pages 154-166
Loginov E.V., Masalskiy S.S.

Technical and economic research on cut-off grade influence on open-pit boundary

open-pit mining quarry gold on-board maintenance volatility quarry boundaries excavation block

№3 2026, Pages 167-176
Mityukovsky V.A., Tyulenev M.A.

Steeply dipping coal deposits mining with temporary leaving of overburden rocks on the working side of the quarry

steeply dipping fields development system high scarps temporary abandonment of overburden economic effect

№3 2026, Pages 177-184
Tyulenev M.A.

On the need to revise the methodology for transportless flowcharts calculating

dragline direct dumping technology internal dump re-excavation re-excavation ratio flowcharts structure open pit mining

№3 2026, Pages 185-194
Domracheva V.A., Raevskaya I.D., Sinitsyn I.M.

Research of carbon sorbents and their modified samples

carbon sorbents modification physicochemical characteristics sorption characteristics wastewater treatment from heavy metal sulfonation

№3 2026, Pages 195-204
Linnik Yu.N., Linnik V.Yu.

Determination of coal quality characteristics using artificial intelligence algorithm

artificial intelligence algorithms intelligent data analysis classification predictive model coal quality

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