Regression-Tensor Modeling of Multivariate Optimization of Process for Applying Composite Coatings

Authors

  • Vyacheslav Anatolievich Rusanov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (ISDCT SB RAS), Irkutsk, Russia.
  • Sergey Viktorovich Agafonov Irkutsk State Agricultural Academy (ISAA), Irkutsk, Russia.
  • Aleksey Vasilyevich Daneev Irkutsk State Transport University (ISTU), Irkutsk, Russia.
  • Ilya Alekseevich Gubanov Irkutsk State Transport University (ISTU), Irkutsk, Russia.

DOI:

https://doi.org/10.9734/bpi/rtcps/v8/3569E

Keywords:

Mathematical modeling, covariant tensors of final valence, identification of nonlinear vector regression, optimization of metal coatings, regression-tensor modeling

Abstract

A universal regression-tensor approach is developed in the mathematical modeling of optimal parameters of chemical-technological process of complex mechanical products. In this article regression analysis differs from the traditional presentation because one of the main goals was to present more clearly geometrical device of multivariate nonlinear regression modeling (with simultaneous reduction of dimension of used pseudo-matrix). A. The testing of developed algorithms was performed on the example of multi-factorial process of low-temperature sulfur-chromium plating of precision mechanical parts.

Published

2022-03-04

How to Cite

Vyacheslav Anatolievich Rusanov, Sergey Viktorovich Agafonov, Aleksey Vasilyevich Daneev, & Ilya Alekseevich Gubanov. (2022). Regression-Tensor Modeling of Multivariate Optimization of Process for Applying Composite Coatings. Research Trends and Challenges in Physical Science Vol. 8, 101–121. https://doi.org/10.9734/bpi/rtcps/v8/3569E

Issue

Research Trends and Challenges in Physical Science Vol. 8

Section

Chapters