Comparative evaluation of approaches to determining biofibres characteristics: From mechanical tests to machine learning

Blagonravov Mechanical Engineering Research Institute of Russian Academy of Science, 4 Maly Kharitonyevsky Pereulok, Moscow, 101000, Russia

Abstract

This article is devoted to a comparative analysis of methods for determining the characteristics of biofibers, a key component of modern environmentally friendly composites. The aim of the work is to systematize and compare approaches to the study of biofibers: from mechanical testing and microstructural analysis to digital image processing and machine learning methods. Particular attention is paid to the relationship between fiber characteristics and composite properties. As a result, a classification of methods has been developed, recommendations for their selection for different types of biofibers have been formulated, and promising areas of research have been identified. The analysis has made it possible to identify the optimal combinations of methods for effectively predicting the properties of composite materials.