Determining the Mechanical Properties of a New Composite Material Using Artificial Neural Networks
This work addresses material characterization for the furniture industry to replace wood, but it is incremental as it applies standard methods to a new material.
The paper tackled predicting mechanical properties of a hemp-polypropylene composite material using artificial neural networks, achieving results for maximum tensile strength and elongation.
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.