Prediction of magnetic energy loss of Giant magnetostrictive materials under different prestresses, AC excitations and DC biases

Magnetic energy losses of giant magnetostrictive material (GMM) significantly depend on a number of factors including prestresses, AC excitations, and DC biases. The existing magnetic energy loss prediction models require further optimization to account for the sensitive magnetic hysteresis of GMM. A magnetic energy loss prediction model that can adapt to different operating conditions is very essential for GMM applications. Herein, the dependency of magnetic energy losses to the operation conditions is interpreted by the parametric variations of the Jiles-Atherton model. A novel four-step parameter identification procedure with great generalizability is proposed. In particular, the combined effects of three external conditions on model parameters are considered. The measurement and simulation data of major hysteresis loops, symmetric minor hysteresis loops, and biased minor hysteresis loops under different operating conditions are compared, which verified the effectiveness of the modified model. Finally, the magnetic energy losses of biased minor hysteresis loops of GMM at different frequencies are calculated using the modified model and compared with the measured data. The average relative error is 5.59 %, and the maximum relative error is 12.05 %.