Determining the Mechanical Properties of a New Composite Material Using Artificial Neural Networks

TL;DR

This paper explores using artificial neural networks to predict mechanical properties like tensile strength and elongation of a hemp-polypropylene composite designed for furniture support structures, aiming to replace wood.

Contribution

It introduces a novel application of ANN for predicting properties of a new hemp-polypropylene composite material.

Findings

ANN can accurately predict tensile strength and elongation.

The composite shows potential as a wood substitute in furniture.

The method improves material property estimation efficiency.

Abstract

The paper studies the possibility of using artificial neural networks (ANN) to determine certain mechanical properties of a new composite material. This new material is obtained by a mixture of hemp and polypropylene fibres. The material was developed for the industry of upholstered furniture. Specifically, it is intended for the making of elements of the support structure of some upholstered goods (chairs, armchairs, sofa sides) with the objective of replacing wood. The paper aims to calculate the following mechanical properties: maximum tensile strength and maximum elongation.