Hydrostatic Training and Characterization of near Stoichiometric Ni-Mn-Ga Alloy
| Autor: | Ahmed El-Assal, Mohammed A. Gepreel, Saleh Kaytbay, Nour Mahmoud Eldabah |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Materials science Mechanical Engineering Alloy Analytical chemistry 02 engineering and technology engineering.material 021001 nanoscience & nanotechnology 01 natural sciences law.invention Characterization (materials science) Mechanics of Materials law 0103 physical sciences engineering General Materials Science Hydrostatic equilibrium 0210 nano-technology Stoichiometry |
| Zdroj: | Key Engineering Materials. 835:22-27 |
| ISSN: | 1662-9795 |
| DOI: | 10.4028/www.scientific.net/kem.835.22 |
| Popis: | Shape memory alloys are programmed to memorize original trained shape. Ni-Mn-Ga is one of the ferromagnetic shape memory alloys. It is used as actuator, and sensor due to large output strain at high frequencies. This work presents a study on enhancing magnetic properties of thermally treated alloy by using new method of training in which alloys are exposed to different hydrostatic pressures using pressing die. Single near stoichiometric composition was produced. Elemental analysis showed homogeneity of the alloy. XRD pattern revealed Martensitic phase peaks. Transformation temperature was found to be below 100 OC. Training was applied by hydrostatic pressing die. Different training pressures were obtained using hydraulic press. After applying hydrostatic pressures starting from 2.5 bar to 10 bar, it was found that pressures up to 7.5 bar will increase the coercivity and saturation magnetization of the alloy, while pressures beyond 7.5 bar lessened these magnetic properties. |
| Databáze: | OpenAIRE |
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