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

Author Affiliations +

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.

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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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