Presentation + Paper
18 April 2016 Characterizing new compositions of [001]C relaxor ferroelectric single crystals using a work-energy model
John A. Gallagher
Author Affiliations +
Abstract
The desired operating range of ferroelectric materials with compositions near the morphotropic phase boundary is limited by field induced phase transformations. In [001]C cut and poled relaxor ferroelectric single crystals the mechanically driven ferroelectric rhombohedral to ferroelectric orthorhombic phase transformation is hindered by antagonistic electrical loading. Instability around the phase transformation makes the current experimental technique for characterization of the large field behavior very time consuming. Characterization requires specialized equipment and involves an extensive set of measurements under combined electrical, mechanical, and thermal loads. In this work a mechanism-based model is combined with a more limited set of experiments to obtain the same results. The model utilizes a work-energy criterion that calculates the mechanical work required to induce the transformation and the required electrical work that is removed to reverse the transformation. This is done by defining energy barriers to the transformation. The results of the combined experiment and modeling approach are compared to the fully experimental approach and error is discussed. The model shows excellent predictive capability and is used to substantially reduce the total number of experiments required for characterization. This decreases the time and resources required for characterization of new compositions.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John A. Gallagher "Characterizing new compositions of [001]C relaxor ferroelectric single crystals using a work-energy model", Proc. SPIE 9800, Behavior and Mechanics of Multifunctional Materials and Composites 2016, 980003 (18 April 2016); https://doi.org/10.1117/12.2219180
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KEYWORDS
Crystals

Polarization

Computer simulations

Statistical analysis

Numerical integration

Data modeling

Dielectrics

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