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Determination of Optimal Hardfacing Modes for Recovering Electric Motor Shafts.

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Title: Determination of Optimal Hardfacing Modes for Recovering Electric Motor Shafts.
Authors: ZHARKEVICH, Olga1 zharkevich82@mail.ru, NURZHANOVA, Oxana2 nurzhanova_o@mail.ru, ZHUNUSPEKOV, Darkhan2 zhynyspekov_darkhan@mail.ru, NABOKO, Yelena3 lena_nep@mail.ru, BUZAUOVA, Toty4 toty_77@mail.ru, ABDUGALIYEVA, Gulnur4 gulnura84@mail.ru, MATESHOV, Arman5 makashka_m@mail.ru, BESSONOV, Alexander6 bessonov.alex.99@mail.ru
Source: Technical Gazette / Tehnički Vjesnik. 2023, Vol. 30 Issue 3, p951-957. 7p.
Subjects: Electric welding, Vacuum arcs, Carbon dioxide, Electric motors, Regression analysis, Hardness
Abstract: The research aims to determine the optimal modes of hardfacing when restoring the shafts of electric motors, taking into account the resulting hardness of the deposited layer for further machining. When conducting a full-scale experiment on hardfacing, samples (200 × 100 × 10 mm) of steel 3 were used, which were preliminarily ground. For hardfacing, such hardfacing materials were used as 1/S - 7018, Sv-08G2S.The advantages and disadvantages of various surfacing methods are established. The hardness values of the deposited layer with material 1/S - 7018.1 were determined in manual hardfacing, with Sv08G2S material - in semi-automatic hardfacing in a protective gas environment (CO2 - 100%), with Sv-08G2S material - automatic surfacing under the layer flux. It has been established that the most effective and economical method of surfacing during the restoration of electric motor shafts is a semi-automatic method in a carbon dioxide environment. Regression analysis was used to build a mathematical model for determining the optimal hardfacing modes, taking into account the hardness of the deposited layer. The correlation coefficients are determined, which indicate a strong linear relationship between the hardness of the deposited layer and such technological parameters as current strength, welding arc voltage, and effective power. For the first time, a mathematical model was obtained for the dependence of the hardness of the deposited layer on the technological parameters of the coating - current strength, voltage, and arc power. The existence of a connection between the technological parameters of surfacing has been established. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:The research aims to determine the optimal modes of hardfacing when restoring the shafts of electric motors, taking into account the resulting hardness of the deposited layer for further machining. When conducting a full-scale experiment on hardfacing, samples (200 × 100 × 10 mm) of steel 3 were used, which were preliminarily ground. For hardfacing, such hardfacing materials were used as 1/S - 7018, Sv-08G2S.The advantages and disadvantages of various surfacing methods are established. The hardness values of the deposited layer with material 1/S - 7018.1 were determined in manual hardfacing, with Sv08G2S material - in semi-automatic hardfacing in a protective gas environment (CO2 - 100%), with Sv-08G2S material - automatic surfacing under the layer flux. It has been established that the most effective and economical method of surfacing during the restoration of electric motor shafts is a semi-automatic method in a carbon dioxide environment. Regression analysis was used to build a mathematical model for determining the optimal hardfacing modes, taking into account the hardness of the deposited layer. The correlation coefficients are determined, which indicate a strong linear relationship between the hardness of the deposited layer and such technological parameters as current strength, welding arc voltage, and effective power. For the first time, a mathematical model was obtained for the dependence of the hardness of the deposited layer on the technological parameters of the coating - current strength, voltage, and arc power. The existence of a connection between the technological parameters of surfacing has been established. [ABSTRACT FROM AUTHOR]
ISSN:13303651
DOI:10.17559/TV-20220719104215