Research Communication | Open Access
Volume 2021 | Communication ID 285
Volume 2021 | Communication ID 285
| Implementation of a Neural Network Model in Comparison with the Mori-Tanaka and the Finite Element Methods to Predict the Mechanical Properties of Polypropylene Bio loaded by Snail Shell Particles |
Aziz Moumen, Abdelghani Lakhdar, Khalifa Mansouri
Received |
Accepted |
Published |
February 03, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: The experimental and numerical modeling of the mechanical properties of bio composites have been the subject of modern scientific studies. This is to find more solutions to the environmental, ecological, and sustainable development constraints that can these bio composites resolve. In this numerical study, the matrix is polypropylene which is one of the polymers most used in the current industry thanks to its low cost, its availability and its interesting thermo mechanical properties and which finds its applications in transport, infrastructure, packaging, home applications and automotive ...