Title: Strength prediction method of nano ceramic composites based on nonlinear regression analysis

Authors: Decai Jin

Addresses: Department of Art and Creativity, Jinhua Polytecnich, Jinhua, 321007, China

Abstract: In order to reduce the strength prediction error of nano ceramic composite materials and improve the prediction effect. This article proposes a strength prediction method for nano ceramic composite materials based on nonlinear regression analysis. Firstly, configure the nano ceramic composite material and design the material preparation process. Then, based on nonlinear regression analysis, the strength prediction of nano ceramic composite materials is carried out. Due to the typical nonlinear relationship between the strength samples of nano ceramic composite materials, each sample is mapped to a high-dimensional feature space through a nonlinear function. Based on the objective function, a quadratic programming problem is constructed, and the undetermined coefficients are obtained by solving, and the bias expression is calculated. Apply the undetermined coefficients and biases obtained from the solution to the nonlinear function expression to obtain the final strength prediction function. The experimental results show that the proposed method can predict the strength of nano ceramic composites with a maximum accuracy of 97% and a maximum prediction time of 8 seconds, indicating practicality.

Keywords: nonlinear; regression analysis; nano ceramics; compound material; strength prediction method.

DOI: 10.1504/IJMMP.2024.137979

International Journal of Microstructure and Materials Properties, 2024 Vol.17 No.2/3, pp.206 - 221

Received: 18 Jul 2023
Accepted: 08 Nov 2023
Published online: 15 Apr 2024 *

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