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Modeling of magnetic shape memory alloy plates for pressure sensor application

Sayyaadi, H ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1177/1045389X20947170
  3. Publisher: SAGE Publications Ltd , 2021
  4. Abstract:
  5. This article investigates the basis for pressure sensor application based on the magnetic shape memory effect in membranes. Von Karmans nonlinear terms are considered in strain–displacement relationships of thin films, and a new method is presented for solution of large deflections of thin films with arbitrary boundary condition. In this study, the equations of motion of magnetic shape memory alloys are extended. In pressurized membranes, the complex distribution of mechanical stress can cause the martensitic reorientation, which is the underlying mechanism for sensing applications in magnetic shape memory alloys. To examine the obtained model, the governing equations of magnetic shape memory alloys are solved for clamped thin films and results are compared with experimental data. Demonstrating good agreement with experimental data, the presented model can be used for analysis of magnetic shape memory alloy–based smart structures. In this article, the deflection profile of the uniformly loaded thin films is determined with different boundary conditions. Furthermore, the center deflection of magnetic shape memory alloy membrane under different magnetic bias field is simulated. The results of simulation can be used for designing a membrane-based pressure sensor using magnetic shape memory alloys. © The Author(s) 2020
  6. Keywords:
  7. Boundary conditions ; Composite beams and girders ; Equations of motion ; Magnetic shape memory ; Magnetism ; Pressure sensors ; Product design ; Thin films ; Arbitrary boundary conditions ; Deflection profiles ; Different boundary condition ; Governing equations ; Magnetic bias fields ; Pressurized membrane ; Sensing applications ; Sensor applications ; Shape-memory alloy
  8. Source: Journal of Intelligent Material Systems and Structures ; Volume 32, Issue 2 , 2021 , Pages 196-207 ; 1045389X (ISSN)
  9. URL: https://journals.sagepub.com/doi/abs/10.1177/1045389X20947170