Artificial neural networks using for solving of the tribological problems

Artificial neural networks using for solving of the tribological problems

The sclerometric studies of steel 40X after quenching from 860, 1050 ° C and high tempering showed the average microhardness increases with an increasing quenching temperature. On the scratches two types of microhardness maximum value are revealed. The first one (T1) are closest to each other. The a...

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Bibliographic Details
Main Authors:	Uvarov V.M., Bespalov S.A.
Format:	Article
Language:	English
Published:	National Academy of Sciences of Ukraine. Physico- Technological Institute of Metals and Alloys 2019-09-01
Series:	Металознавство та обробка металів
Subjects:	structural steel hardening temperature wear resistance contact interaction surface modeling artificial neural networks.
Online Access:	https://momjournal.com.ua/sites/default/files/1_10.pdf

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