Embedding of Superelastic SMA Wires into Composite Structures: Evaluation of Impact Properties

Autor: Alfonso Maffezzoli, Luca Toia, Silvio Pappadà, Alberto Coda, Rocco Rametta, Luca Fumagalli
Přispěvatelé: Pappadà, Silvio, Rametta, Rocco, Toia, Luca, Coda, Alberto, Fumagalli, Luca, Maffezzoli, Alfonso
Rok vydání: 2009
Předmět:
Zdroj: Journal of Materials Engineering and Performance. 18:522-530
ISSN: 1544-1024
1059-9495
DOI: 10.1007/s11665-009-9366-1
Popis: Shape memory alloy (SMA) represents the most versatile way to realize smart materials with sensing, controlling, and actuating functions. Due to their unique mechanical and thermodynamic properties and to the possibility to obtain SMA wires with very small diameters, they are used as smart components embedded into the conventional resins or composites, obtaining active abilities, tunable properties, self-healing properties, and damping capacity. Moreover, superelastic SMAs are used to increase the impact resistance properties of composite materials. In this study, the influence of the integration of thin superelastic wires to suppress propagating damage of composite structures has been investigated. Superelastic SMAs have very high strain to failure and recoverable elastic strain, due to a stress-induced martensitic phase transition creating a plateau region in the stress-strain curve. NiTi superelastic wires (Af = −15 °C fully annealed) of 0.10 mm in diameter have been produced and characterized by SAES Getters. The straight annealed wire shows the typical flag stress-strain behavior. The measured loading plateau is about 450 MPa at ambient temperature with a recoverable elastic strain of more than 6%. For these reasons superelastic SMA fibers can absorb much more strain energy than other fibers before their failure, partly with a constant stress level. In this paper, the improvement of composite laminates impact properties by embedding SMA wires is evaluated and indications for design and manufacturing of SMA composites with high-impact properties are also given.
Databáze: OpenAIRE