Towards the Numerical Implementation of Neural Network to Predict the Mechanical Characteristics of Bio Composites

Abstract

Bio composites are a new category of materials using natural based components in their constituents. The study and simulation of the behavior of these innovative materials occupies an important place in the field of scientific research. Discovering and using new methods has always been the goal of researchers. In recent years, artificial intelligence has been very successful and is used in several fields. it represents a big part of today’s industrial revolution. Smart solutions are more and more favored over conventional solutions as they give more precise results in a short time. We can find them in different sectors, such as banking, commerce, transport and industry, especially in materials science.The intersection of the artificial intelligence with materials engineering, gives extraordinary results. This smart method was able to boost the discovery of new materials, and to solve the most complex problems encountered when determining the mechanical properties of bio composites. What characterizes theEco-composites is their light in weight, their sustainable development, and that they are environmentally friendly. However, the determination of their mechanical properties is not obvious. Certainly, solutions based on homogenization methods or even on the finite element method have given good results, but the complexity of the microstructure of these materials limits the determination of their characteristics. In our paper, we hilight the use of Deep Learning that is an artificial intelligence machine learning method that relies on neural networks to predict the mechanical behavior of a polypropylen bioloaded by the natural fibers.

Thermogravimetric Analysis of Rigid PVC and Animal-Origin Bio-Composite: Experimental Study and Comparative Analysis

“…Furthermore, the additional contributions of Moumen et al pushed the boundaries of research by exploring the mechanical characteristics of the bio-composite using an artificial intelligence approach. The use of neural networks to predict the mechanical properties of the bio-composite by varying bioloading and PVC percentages demonstrates an innovative and multidisciplinary approach [21,22].…”

Numerical study of the speed’s response of the various intelligent models using the tansig, logsig and purelin activation functions in different layers of artificial neural network

“…At the beginning the goal of the researchers was to discover the elements and materials existing on earth, to study them, to analyze them and to optimize their applications. More recently, their objective is to go beyond the existing and innovate new non-existent materials [1], model them, study them and analyze them to use them for very specific applications; robotics, aviation, automotive, food and others. The combination of two materials whose properties we already know can give us a new one that is more efficient than the other two in terms of characteristics.…”