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Rusanov, V.A., Agafonov, S.V., Dumnov, S.N., Daneev, A.V. and Lyamin, S.V. (2014) Regression-Tensor Modeling of Multivariate Optimization of Process for Applying Metal-Coatings. Journal of Applied Mathematics and Physics, No. 2, 1207-1223.
https://doi.org/10.4236/jamp.2014.213142

has been cited by the following article:

• TITLE: On the Regression-Tensor Analysis of the Hardening Process of Metal Coatings

  AUTHORS: Rusanov Vyacheslav Anatolievich, Agafonov Sergey Viktorovich, Daneev Aleksey Vasilyevich, Gubanov Ilya Alecseevich

  KEYWORDS: Hardening Composite Metal Coatings, Complex Tribological Tests, Optimal Physical and Chemical Process, Multivariate Regression-Tensor Analysis

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.7, July 27, 2021

  ABSTRACT: This paper constructs and studies a nonlinear multivariate regression-tensor model for substantiation of necessary/sufficient conditions of optimization of technological calculation of multifactor physical and chemical process of hardening of complex composite media for metal coatings. An adaptive a posteriori procedure for parametric formation of the target quality functional of integrative physical and mechanical properties of the designed metal coating has been proposed. The results of the research may serve as elements of a mathematical language when creating automated design of precision nanotechnologies for surface hardening of complex composite metal coatings on the basis of complex tribological and anticorrosive tests.