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Empirical data processing technique for studying the influence of technological parameters on tool feed during the final processing of steel and cast-iron workpieces. / Galkin, M. G.; Smagin, A. S.
в: IOP Conference Series: Materials Science and Engineering, Том 919, № 3, 032001, 25.09.2020.

Результаты исследований: Вклад в журналМатериалы конференцииРецензирование

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Galkin MG, Smagin AS. Empirical data processing technique for studying the influence of technological parameters on tool feed during the final processing of steel and cast-iron workpieces. IOP Conference Series: Materials Science and Engineering. 2020 сент. 25;919(3):032001. doi: 10.1088/1757-899X/919/3/032001

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@article{e05b6d9a340144c98f78721b191d0814,
title = "Empirical data processing technique for studying the influence of technological parameters on tool feed during the final processing of steel and cast-iron workpieces",
author = "Galkin, {M. G.} and Smagin, {A. S.}",
year = "2020",
month = sep,
day = "25",
doi = "10.1088/1757-899X/919/3/032001",
language = "English",
volume = "919",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-8981",
publisher = "Institute of Physics Publishing",
number = "3",
note = "1st International Conference on Advances in Material Science and Technology, CAMSTech 2020 ; Conference date: 31-07-2020",

}

RIS

TY - JOUR

T1 - Empirical data processing technique for studying the influence of technological parameters on tool feed during the final processing of steel and cast-iron workpieces

AU - Galkin, M. G.

AU - Smagin, A. S.

PY - 2020/9/25

Y1 - 2020/9/25

UR - http://www.scopus.com/inward/record.url?scp=85093116953&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/919/3/032001

DO - 10.1088/1757-899X/919/3/032001

M3 - Conference article

AN - SCOPUS:85093116953

VL - 919

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 3

M1 - 032001

T2 - 1st International Conference on Advances in Material Science and Technology, CAMSTech 2020

Y2 - 31 July 2020

ER -

ID: 14154738