Výsledky vyhledávání - "Tatyana Duyun"

DEVELOPMENT OF NEURAL NETWORKS FOR FORECASTING ROUGHNESS WHEN MILLING VARIOUS MATERIALS

Autor: E. Erygin, Tatyana Duyun

Publikováno v: Bulletin of Belgorod State Technological University named after. V. G. Shukhov. 5:113-124

The article presents a methodology for the development and testing results of artificial neural networks for predicting roughness in finishing milling. Experimental data of various researchers in the processing of materials with different physical an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c3a41ee7b2141a59badb505740607bf
https://doi.org/10.34031/2071-7318-2020-5-11-113-124

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CLASSIFICATION AND ZONING OF RIVERINE TERRITORIES OF SMALL TOWNS ON THE EXAMPLE OF THE BELGOROD REGION

Autor: M. Khalifa, Tatyana Duyun

Publikováno v: Bulletin of Belgorod State Technological University named after. V. G. Shukhov. 5:101-109

The paper presents an analytical study for comparing different numerical methods used for the modeling of cutting process using finite element method. The aims of this study is to compare capabilities of FE software package (Deform, AdvantEdge, ANSYS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58a66111f3114c95e2a562814ee83add
https://doi.org/10.34031/2071-7318-2020-5-8-101-109

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FINITE ELEMENT MODELING OF THE CUTTING PROCESS DURING MACHINING OF STRUCTURAL STEEL USING ANSYS WORKBENCH

Autor: M. Khalifa, Tatyana Duyun

Publikováno v: Bulletin of Belgorod State Technological University named after. V. G. Shukhov. :121-127

The technique of modeling the cutting process when sharpening structural steel (steel 45) is presented. The 3D finite element simulations of machining are conducted using commercial code ANSYS Workbench. For the simulation of plastic deformation and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c953a7b600298f11391bb4a1448f29d
https://doi.org/10.34031/2071-7318-2019-4-11-121-127

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APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR PREDICTING ROUGHNESS AT CLEANING AND GETTING POINT

Autor: Tatyana Duyun, Denis Baranov

Publikováno v: Bulletin of Belgorod State Technological University named after. V. G. Shukhov. 4:128-134

A technique for the development of artificial neural networks to predict the roughness of the treated surface during finishing and semi-finishing turning is presented. The back-propagation network architecture was adopted, having an input, hidden and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bdf12628a85dc8baa7ec02b56d65c98a
https://doi.org/10.34031/article_5d35d0b62dc823.22670125

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Features of chip formation and wear of the tool when turning heat resisting steel

Autor: Tatyana Duyun, Vyacheslav Pchelkin

Publikováno v: Materials Today: Proceedings. 19:2429-2433

The results of experimental studies of chip formation peculiarities and wear resistance of carbide inserts with a multi-layer wear-resistant coating obtained by chemical vapor-phase deposition when turning 08X18H10T corrosion-resistant heat-resistant

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::822b1ffcc97a4148be2e8214d9825489
https://doi.org/10.1016/j.matpr.2019.08.050

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