Multiple Shape Memory Effect for Smart Helical Springs with Variable Stiffness over Time and Temperature
| Autor: | Mahdi Baniasadi, Alireza Foyouzat, Mostafa Baghani |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Variable stiffness Matching (graph theory) business.industry Mechanical Engineering 02 engineering and technology Shape-memory alloy Structural engineering 021001 nanoscience & nanotechnology Condensed Matter Physics Compression (physics) Finite element method Shape-memory polymer 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Loading rate General Materials Science 0210 nano-technology business Civil and Structural Engineering |
| Zdroj: | International Journal of Mechanical Sciences. 182:105742 |
| ISSN: | 0020-7403 |
| DOI: | 10.1016/j.ijmecsci.2020.105742 |
| Popis: | In this study, an analytical solution is presented to simulate the mechanical response of thermo-viscoelastic shape memory polymer materials considering the effects of time, temperature, loading rate, etc. Based on the proposed formulation and based on the curved-bar-torsion theory, the behavior of smart helical springs with variable stiffness concerning time and temperature is studied. Moreover, numerical solutions based on the finite element method are used to validate the proposed formulation. The presented formulations are evaluated for different mechanical loading and temperature conditions, and simulated the behavior of both helical compression and extension springs for force recovery or shape recovery processes of shape memory polymer materials. The presentation of multiple shape memory properties along with the effects of parameters such as temperature and rate of temperature have also been investigated. The proposed method is much faster than the numerical solution and the matching of the responses of the two methods at different loading conditions shows the accuracy of the presented method. Therefore, using this propound method, design or optimization processes can be used with much lower computational cost than numerical solutions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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