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PSpice modeling of the pulsed electroacoustic method for dispersive polymer sample application
Aurélien Pujol1, Laurent Berquez1, Fulbert Baudoin1
1Laboratoire plasma et conversion d'énergie, UMR 5213, CNRS-INP-UPS, 31062 Toulouse, France.
This study introduces an improved PSpice model for processing pulsed electroacoustic (PEA) signals, enhancing space charge measurements in dielectric materials. The new model accurately accounts for acoustic wave attenuation and dispersion, crucial for thin or multi-layer samples.
Area of Science:
- Electrical Engineering
- Materials Science
- Physics
Background:
- Space charge accumulation in dielectric materials poses risks like breakdown and electrostatic discharge in space applications.
- The Pulsed Electroacoustic (PEA) device is essential for measuring space charge in dielectrics.
- Existing PEA signal processing methods struggle with materials causing acoustic wave attenuation and dispersion, and with thin or multi-layer samples.
Purpose of the Study:
- To develop an advanced PSpice model for improved PEA signal processing.
- To enhance the accuracy of space charge measurements in challenging dielectric materials.
- To address limitations of current PEA analysis for specific sample types.
Main Methods:
- Developed a PSpice model incorporating acoustic wave attenuation and dispersion using the nearly local Kramers-Kronig relation.
- Implemented the polymer sample model as a frequency-dependent transmission line within PSpice.
- Utilized Branin's method of characteristics for the transmission line model.
- Compared simulation results with experimental PEA data from a PTFE sample.
Main Results:
- The developed PSpice model simulates PEA signals with improved accuracy, particularly for materials exhibiting acoustic attenuation and dispersion.
- The model's effectiveness was validated through a comparison with experimental data from a PTFE sample.
- The simulation successfully captured the complex signal characteristics influenced by material properties.
Conclusions:
- The novel PSpice model offers a more accurate approach to PEA signal processing for dielectric materials.
- This advancement is particularly beneficial for analyzing space charge in thin films, multi-layer dielectrics, and materials with significant acoustic wave dispersion.
- The study provides a valuable tool for reliable space charge characterization in demanding applications.
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