Optimal Design of Magnetostrictive Transducers for Power Harvesting From Vibrations

Methodology is proposed for designing of magnetostrictive electric generator having maximal mean power output for a given amount of active material in a transducer and a prescribed vibration excitation. The methodology is based on dimensional analysis of constitutive linear equations of magnetostriction and numerical solution of constrained optimization problem in transducer’s dimensionless design parameters space by using Sequential Quadratic Programming algorithm. The methodology has been used to design optimal Terfenol-D based transducer for power harvesting from vibrations. It was shown that for steady state operations there exists possibility to choose only 4 new design parameters being the functions of dimensionless parameters of the transducer. Magnetostrictive strain derivative, Young’s modulus and magnetic permeability were determined as functions of magnetic bias and prestress by using experimental data of Terfenol-D. Contour plots and numerical analysis of design parameters show that within the considered concept of magnetostrictive electric generator there exists a set of structural parameters of the transducer that lead to its optimal performance with given amount of active material and prescribed vibration excitation. Examples of solution of optimal design problem demonstrate that for harmonic kinematic excitation with amplitude 0,0002m and frequency 100Hz it is possible to design a magnetostrictive electric generator with 3,2W mean power output having mass of active material 0,01kg.

[1]  D. Inman,et al.  On Mechanical Modeling of Cantilevered Piezoelectric Vibration Energy Harvesters , 2008 .

[2]  G. Engdahl Handbook of Giant Magnetostrictive Materials , 1999 .

[3]  D. G. Lord,et al.  Application of the Villari effect to electric power harvesting , 2006 .

[4]  S. M. Shahruz,et al.  Increasing the Efficiency of Energy Scavengers by Magnets , 2008 .

[5]  Göran Engdahl,et al.  A magnetostrictive electric generator , 1993 .

[6]  Viktor Berbyuk,et al.  Towards dynamics of controlled multibody systems with magnetostrictive transducers , 2007 .

[7]  D. Inman,et al.  A Review of Power Harvesting from Vibration using Piezoelectric Materials , 2004 .

[8]  Daniel J. Inman,et al.  Energy Harvesting Technologies , 2008 .

[9]  Emiliano Rustighi,et al.  A unified approach to optimal conditions of power harvesting using electromagnetic and piezoelectric transducers , 2007 .

[10]  Alison B. Flatau,et al.  Experimental Investigation of Terfenol-D's Elastic Modulus , 2008 .

[11]  Yoshio Yamamoto,et al.  Three-dimensional magnetostrictive vibration sensor: development, analysis, and applications , 1997 .

[12]  Göran Engdahl,et al.  Key numbers in design of magnetostrictive actuators and generators , 2006 .

[13]  Viktor Berbyuk TERFENOL-D Based Transducer for Power Harvesting From Vibration , 2007 .

[14]  Jan M. Rabaey,et al.  Improving power output for vibration-based energy scavengers , 2005, IEEE Pervasive Computing.

[15]  Henry A. Sodano,et al.  A review of power harvesting using piezoelectric materials (2003–2006) , 2007 .

[16]  Viktor Berbyuk,et al.  Towards modelling and design of magnetostrictive electric generators , 2008 .

[17]  Colin R. McInnes,et al.  Enhanced Vibrational Energy Harvesting Using Non-linear Stochastic Resonance , 2008 .

[18]  Göran Engdahl,et al.  Chapter 2 – Modeling of Giant Magnetostrictive Materials , 2000 .

[19]  Thiago Seuaciuc-Osório,et al.  Investigation of Power Harvesting via Parametric Excitations , 2009 .

[20]  Jeffrey T. Scruggs,et al.  An optimal stochastic control theory for distributed energy harvesting networks , 2009 .

[21]  Viktor Berbyuk Controlled Multibody Systems with Magnetostrictive Electric Generators , 2005 .

[22]  Viktor Berbyuk,et al.  Experimental Study of Power Harvesting from Vibration using Giant Magnetostrictive Materials , 2005 .

[23]  Thomas Nygårds,et al.  Power Harvesting From Vibration Using Magnetostrictive Materials , 2006 .