An approach for characterizing and modelling the non-linearity of piezoelectric actuators when operated with high electric field and high frequency signals in the context of vibration-assist: data
The dataset comprises a number of related data sub-sets as follows:
1) Experimental data showing (a) the plot of displacements of a shear piezoelectric plate under different voltage and frequency values, (b) variations of displacement and phase lag versus logarithmic frequency under a voltage of +/-125 V and (c) three examples of typical displacement plots, again under the voltage of +/-125 V.
2) Experimental data and fitting based on the model from Mueller and Zhang (Journal of Applied Physics, 1998, 83 (7), 3754-3761) for varying values of the piezoelectric coefficient ??15 with an electric field, ??1, under different frequencies between 2 Hz and 2 kHz.
3) Experimental data and fitting based on the model from Damjanovic (Physical Review B, 1997, 55(2), R649-R652) to express (a) the low field piezoelectric constant ??lin(??) and (b) the nonlinear coefficient of piezoelectric constant ??nl(??).
4) Data showing a) displacements of a piezoelectric actuator for peak-to-peak voltage values in the range 100 V to 640 V and for frequency values from 2 Hz to 2000 Hz and (b) the predicted 3-dimensional plot of such displacement as a function of driving frequency and voltage.
5) Simulated data showing (a) displacements of a single piezoelectric plate at two different driving voltage and three frequency values, (b) resultant displacements from two piezoelectric plates actuated with sinusoidal signals 90°out-of-phase, (c) simulated boundary conditions with different mechanical loads and (d) effect of different load types on piezoelectric displacement.
6) Data showing a) comparison between the measured width at the bottom of a machined groove and the predicted frequency-dependent variation of displacement under the voltage of +/-140 V, (b) SEM images of machined nanogrooves and (c) AFM results of machined grooves.
Reserch results based upon these data are published at http://doi.org/10.1016/j.ijmecsci.2022.108048
Funding
Novel Instrumentation for High-Speed AFM-based Nano Machining
Engineering and Physical Sciences Research Council
Find out more...History
Specialist software required to view data files
Microsoft ExcelLanguage(s) in dataset
- English-Great Britain (EN-GB)