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Energy harvesting from plate using magnetic shape memory alloys

Sayyaadi, H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/ICRoM.2018.8657576
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. Ferromagnetic shape memory alloys (FSMA) are new class of smart material and have been investigated for sensor and actuator and energy harvester applications.this paper presents the basis for a novel pressure sensor based on ferromagnetic shape memory alloys. Underlying mechanism for sensing applications is martensitic reorientation accompanied by a chang of magnetization of plate. When this alloy, is exposed in an external magnetic field or stress, has change of magnetization in result.the change in the magnetization of the alloy in accordance with the Faraday induction law, in the wires of the coil leads to the induction voltage. In this paper, a phenomenological constitutive structural model for FSMA is presented in the framework of thermodynamics of irreversible processes. In this research, for modeling these systems, a structural model of the thermodynamic base suitable for predicting the behavior of magnetic shape memory alloys In different strains, using the proposed structural model, the pressure on the plate and the vertical displacement under magnetic-mechanical loading are predicted.To continue the process and return strains to the alloy, a bias magnetic field is applied in the transverse direction to the alloy. In this paper, the theory of plate kiroshchoff taking into account with nonlinear terms of von Karman, the structural model based thermodynamics is used to predict the nonlinear strain- magnetic response. We employ matlab software for simulating the behavior of plate. The simulation demonstrates that reorientations of martensitic are detectable in thin plate despite the complex distribution of mechanical stress.The results show new class of pressure sensor using MSMA. © 2018 IEEE
  6. Keywords:
  7. Magnetic shape memory alloy ; Magnetic-mechanical loading ; Pressure sensor ; Composite beams and girders ; Energy harvesting ; Ferromagnetic materials ; Ferromagnetism ; Magnetic fields ; Magnetic shape memory ; Magnetization ; MATLAB ; Plates (structural components) ; Pressure sensors ; Robotics ; Statistical mechanics ; Strain ; Thermodynamics ; Bias magnetic field ; External magnetic field ; Ferromagnetic shape memory alloy ; Mechanical loading ; Sensing applications ; Sensor and actuators ; Thermodynamics of irreversible process ; Vertical displacements ; Shape-memory alloy
  8. Source: Proceedings of the 6th RSI International Conference on Robotics and Mechatronics, IcRoM 2018, 23 October 2018 through 25 October 2018 ; 2019 , Pages 229-235 ; 9781728101279 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8657576