APPLICATION OF STATISTICAL ANALYSIS FOR THE OPTIMIZATION OF LOW ALLOY STEEL COMPOSITION
DOI:
https://doi.org/10.30888/2415-7538.2018-10-01-011Keywords:
low alloy steels, optimization of composition, mechanical properties of steel, correlation matrix analysis, multiple regression analysis, pair correlation coefficient.Abstract
The optimization of the chemical composition of low-alloy steel by statistical analysis methods is considered. The analysis of correlation matrix, as well as multiple regression analysis is used. Dependences of mechanical properties on chemical compositioMetrics
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References
Мельниченко, А. С. Статистический анализ в металлургии и материаловедении : учебник / А. С. Мельниченко. – М. : Изд. Дом МИСиС, 2009. – 268 с. ISBN: 978-5-87623-258-8
Бланк, Е., Маржери, И. Статистические методы обработки данных в литейных процессах / Е. Бланк, И. Маржери. – 28 МКЛ. – Вена. – М. : Машгиз, 1964.
Melnichenko, A. S. Statistical analysis in metallurgy and materials science : textbook / A. S. Melnichenko. - M.: Ed. House MISiS, 2009. - 268 p. ISBN: 978-5-87623-258-8
Form, E., Margery, I. Statistical methods of data processing in casting processes / E. Form, I. Margery. - 28 ΜL. – Vienna. - Moscow: Mashgiz, 1964.
Published
2018-06-30
How to Cite
Gabelchenko, N. I., & Kanatov, N. S. (2018). APPLICATION OF STATISTICAL ANALYSIS FOR THE OPTIMIZATION OF LOW ALLOY STEEL COMPOSITION. Scientific Look into the Future, 1(10-01), 33–37. https://doi.org/10.30888/2415-7538.2018-10-01-011
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Articles