Passive damping and velocity sensing using magnetostrictive transduction

Ralph C. Fenn; Michael J. Gerver

doi:10.1117/12.175184

6 May 1994 Passive damping and velocity sensing using magnetostrictive transduction

Ralph C. Fenn, Michael J. Gerver

Proceedings Volume 2190, Smart Structures and Materials 1994: Smart Structures and Intelligent Systems; (1994) https://doi.org/10.1117/12.175184
Event: 1994 North American Conference on Smart Structures and Materials, 1994, Orlando, FL, United States

Abstract

Magnetostrictive Terfenol-D transducers are an attractive alternative to viscoelastic dampers, and electrodynamic and piezoelectric actuators for damping and self-sensing. These advantages include high stiffness and primary load carrying capability, high power density, low voltages, and low temperature sensitivity. Terfenol-D converts 50 percent of the transducer strain energy into magnetic field energy. Because the Terfenol-D transducer is a primary load carrying member, large amounts of structural energy are converted into magnetic field energy. This magnetic field energy is converted into electric energy by a surrounding coil and dissipated in a resistor to provide damping. The voltage developed in the surrounding coil is proportional to the strain rate of the magnetostrictive material, thus producing a velocity signal. This velocity signal can be used for colocated active damping by controlling coil current based on coil voltage induced by transducer velocity. Experiments using a Terfenol-D actuator capable of 65 microns motion and 1,000 N force showed modal loss factors to 0.22 (relative damping to 0.11) and velocity sensing scale factors to 183 volts/(meter/sec). Room temperature tests of a transducer designed for 77 degree(s)K use showed only 20 percent reductions in damping and velocity signals. Magnetic modeling supports the damping and sensing observations.

Citation Download Citation

Ralph C. Fenn and Michael J. Gerver "Passive damping and velocity sensing using magnetostrictive transduction", Proc. SPIE 2190, Smart Structures and Materials 1994: Smart Structures and Intelligent Systems, (6 May 1994); https://doi.org/10.1117/12.175184

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