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

Rusanov, Vyacheslav Anatolievich and Agafonov, Sergey Viktorovich and Daneev, Aleksey Vasilyevich and Gubanov, Ilya Alekseevich (2022) Regression-Tensor Modeling of Multivariate Optimization of Process for Applying Composite Coatings. In: Research Trends and Challenges in Physical Science Vol. 8. B P International, pp. 101-121. ISBN 978-93-5547-527-5

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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.

Item Type: Book Section
Subjects: Research Scholar Guardian > Physics and Astronomy
Depositing User: Unnamed user with email support@scholarguardian.com
Date Deposited: 22 Nov 2023 05:10
Last Modified: 22 Nov 2023 05:10
URI: http://science.sdpublishers.org/id/eprint/1755

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