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Modeling, Analysis and Experimental Investigation of Energy Harvesting via Magnetic Shape Memory Alloys

Askari Farsangi, Mohammad Amin | 2017

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 50203 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Sayyadi, Hassan; Zakerzadeh, Mohammad Reza
  7. Abstract:
  8. Vibration based energy harvesting is the process of trapping and collecting vibrational energy from ambient sources which seem unusable at first sight. The smart materials with the capability of coupling two different fields can be used in converting vibrational energy to electrical one. One of this smart material which has been taken into account recently is the Magnetic Shape Memory Alloy (MSMA) and it can couple the magnetic and mechanical fields. In MSMAs the total magnetization vector changes with the application of stress and make it possible to harvest energy from Faraday law’s of induction. An important phenomena that exist in MSMA is the dependency of magnetization-strain behavior on strain rate. This phenomena is added to existing model to have a better illustration of force driven MSMA based energy harvester. It has been shown that this effect becomes more important for higher thicknesses and excitation frequencies. After presenting a more precise description, harvesting energy from a vibrating structure with MSMA has been studied. To this end, an energy harvester is designed in which the MSMA is attached to a cantilever beam. As this problem was investigated for the first time, a model that couples the equation of motion of Euler-Bernoulli beam with MSMA and electrical circuit equations has been developed to predict the system behavior. On the obtained results, an experimental work has been carried out and some interesting results has been presented. The mechanism of attachment of MSMA to vibrating beam decrease the biased field required for maximum power generation. This finding decrease the harvester volume and increase the power density which is an important characteristic in energy harvesters. As the material properties of tested sample were not reported in previous literatures, using some date from ETO group in Germany, a parameter identification has been carried out and there after the model is verified with experimental test. At the end, using Artificial Neural Network and Genetic algorithm, an optimization has been done on geometrical and material properties of host layer in order to have the optimized parameters for maximum output power and power density
  9. Keywords:
  10. Energy Harvesting ; Magnetic Shape Memory Alloys (MSMA) ; Cantilever Beam ; Experimental Test ; Optimization ; Frequency Dependent Model

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