DOI: 10.5281/zenodo.11207806
title: Randomised material parameter impedance dataset of piezoelectric rings (RaPIDring)

description: Version notes

This version of the data set is deprecated. The simulation model used to generate the data set has an erroneous boundary condition (see lines 53 to 55 in simulation.xml). It has been removed in newer versions.

Description of the dataset

This dataset contains the results of 276282 finite-element simulations of the complex, frequency-dependent electrical impedance of a piezoelectric ring with randomised material parameters. Each impedance consists of 2000 samples in the frequency domain up to 8 MHz. We assume the sample to be dielectric, thus the impedance a frequency 0 Hz is infinite. The piezoelectric ring has an outer radius of 6.35 mm an inner radius of 2.6 mm and a thickness of 1 mm. The transverse isotropic material parameters are sampled from independent uniform distributions with ranges that are intended to represent the behaviour of different piezoceramic materials. The parameters of the Rayleigh damping model (alpha_M and alpha_K) are sampled from a logarithmic distribution to account for the larger parameter range.




Parameter  
Min
Max
Unit    
Description


c11
120
165
GPa
Elastic stiffness


c12
70  
150
GPa
Elastic stiffness


c13
65  
95  
GPa
Elastic stiffness


c33
110  
140
GPa
Elastic stiffness


c44
18  
30  
GPa
Elastic stiffness


eps11  
3
12
nF/m
Dielectric permittivity


eps33  
4
 8
nF/m
Dielectric permittivity


e15
8
18
C/m^2
Piezoelectric coupling


e31
3
7.5
C/m^2
Piezoelectric coupling


e33
12
20
C/m^2
Piezoelectric coupling


alpha_M
2
150    
1/ms
Mass-proportional damping


alpha_K
10
800
ps  
Stiffness-proportional damping


density
7600
7850
kg/m^3
Density




Files

The dataset contains the following files:



dataset.hdf5: The main dataset file in HDF5 format. Refer to the next section on how to load the dataset.

simulation.xml: The file describing the parameters of the finite element simulation. This file can be used with openCFS along with the mesh and material file to simulate the behaviour of the piezoelectric ceramic in the frequency domain. This simulation file was used with randomised material parameters to generate the dataset.

material.xml: The material file used for the simulation with exemplary material parameters values.

ring.geo: The gmsh geometry file with the axisymmetric representation of the piezoelectric ring.

ring.msh: The mesh file generated with gmsh using the ring.geo file.


Loading the dataset

The dataset is stored as a HDF5 file, which can be opened with all libraries that support that format, e.g. in Python using the h5py library:

import h5py

# Open the dataset in read mode.file = h5py.File("dataset.hdf5", "r")

# Impedances as a 276282 x 2000 array of complex numbers.impedances = file["impedances"]# Material parameter values as a 276282 x 13 array of real numbers.parameters = file["parameters"]# Frequency vector of the impedance with length 2000.frequencies = file["meta"]["frequencies"]# 13 strings with the identifiers of the material parameters.parameter_labels = file["meta"]["parameter_labels"]

Simulating impedances

To generate a result for the electrical impedance using the supplied simulation files, download and install openCFS and call the executable with the simulation.xml, but omit the file extension, e.g.:

cfsbin.exe simulation

The path to the executable of openCFS will depend on your operating system and installation. Running the simulation will result in the creation of several files and folders. Among those files will be the result for the electric charge on one of the electrodes of the sample, which will be placed in the 'history' subfolder. We can determine the current by taking the time derivative of the charge and already know the voltage because we excited the piezoceramic with an electric potential of 1 V in the simulation. Because the simulation is conducted in the frequency regime, all we have to do is to divide voltage by current to get the frequency dependent electrical impedance. The loading of the result and calculation of the impedance is implemented in the following Python script as an example:

import numpy as np

# Load result file for electric chargeresult_path = 'history/simulation-elecCharge-surfRegion-ground.hist'data = np.loadtxt(result_path)

frequency = data[:, 0]# Convert polar representation from file to complex numbers.charge = data[:, 1] * np.exp(1j * 2 * np. pi / 360 * data[:, 2])

# Excitation potential is 1 V in simulation.potential = 1# Determine impedance by applying Z = V / I = V / (j omega Q).impedance = potential / (1j * 2 * np.pi * frequency * charge)