Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
A Parametric Investigation of Low Velocity Impact in SMA-Composite Plates
Submission Author:
Lucas Vignoli , RJ , Brazil
Co-Authors:
Lucas Vignoli, Arthur Adeodato
Presenter: Lucas Vignoli
doi://10.26678/ABCM.COBEM2023.COB2023-0612
Abstract
Structures made by composite materials have been very explored for many industries, like aeronautic, automotive and marine. Composite materials have lightweight and high stiffness and strength characteristic; however, the low impact resistance of these materials is a major drawback. This is primarily because composite structures have a limited capability to withstand transversal loads. Especially low velocity impacts are very dangerous because they may induce imperceptible damages on routine inspections. For instance, the literature indicates that around 15% of repairs performed in airplanes are results from low velocity impacts, like dropping a tool on a part of the airplane’s structure. Alternatively, shape memory alloys (SMAs) have been proposed as a potential solution to this issue due to their ability to dissipate energy through pseudoelasticity. Hence, exploring the combination of SMA plies in composite laminates seems to be a promising way to avoid impact issues. The goal of the present investigation is to carry out a parametric study of impacts in composite plates with and without SMA reinforced. Three parameters are evaluated: the fiber volume fraction, the SMA ply thickness and the SMA arrangement in the laminate. The simulations are carried out using the commercial finite element software Ansys. The Puck failure criterion is considered for the laminate and Auricchio’s constitutive model is applied for the SMA. The results show that using a thin SMA ply can significantly improve the impact resistance of laminates, reducing and even eliminating structural damage from low velocity impacts. These findings have implications for the design concerning cost and weight-efficient structures.
Keywords
Composite Materials, Laminates, Impact, multiscale modeling, Shape Memory Alloys
