Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen

A DC bias approach to the characterisation of non-linear material parameters of piezoelectric ceramics
D. Dreiling, N. Feldmann, B. Henning, in: AMA Service GmbH, 2019.

Identification of piezoelectric material parameters using optimised multi-electrode specimens
L. Claes, N. Feldmann, V. Schulze, B. Jurgelucks, A. Walther, B. Henning, in: Fortschritte Der Akustik - DAGA 2022, 2022, pp. 1326–1329.

Inverse piezoelectric material parameter characterization using a single disc-shaped specimen
N. Feldmann, V. Schulze, L. Claes, B. Jurgelucks, A. Walther, B. Henning, Tm - Technisches Messen (2020) 50–55.

Optimal experiment design with respect to electrode configurations for a piezoelectric problem
V. Schulze, S. Schmidt, B. Jurgelucks, N. Feldmann, L. Claes, Optimal Experiment Design with Respect to Electrode Configurations for a Piezoelectric Problem, GAMM Annual Meeting, Kassel, 2021.

Arbitrary sensitivity for inverse problems in piezoelectricity
B. Jurgelucks, V. Schulze, N. Feldmann, L. Claes, Arbitrary Sensitivity for Inverse Problems in Piezoelectricity, GAMM Annual Meeting, Wien, 2019.

Modelling damping in piezoceramics: A comparative study
N. Feldmann, V. Schulze, L. Claes, B. Jurgelucks, L. Meihost, A. Walther, B. Henning, Tm - Technisches Messen 88 (2021) 294–302.

Optimised Multi-Electrode Topology for Piezoelectric Material Characterisation
L. Claes, N. Feldmann, B. Jurgelucks, V. Schulze, S. Schmidt, A. Walther, B. Henning, in: 2021, pp. 237–238.

Piezoelectric BC Modeling for Electrode Shapes with OED
V. Schulze, S. Schmidt, B. Jurgelucks, N. Feldmann, L. Claes, Piezoelectric BC Modeling for Electrode Shapes with OED, GAMM Juniors’ Summer School 2021, Graz, 2021.

Estimation of piezoelectric material parameters of ring-shaped specimens
O. Friesen, L. Claes, N. Feldmann, B. Henning, Estimation of Piezoelectric Material Parameters of Ring-Shaped Specimens, International Workshop on Piezoelectric Materials and Applications in Actuators (IWPMA), 2022.

Influence of Temperature and Pre-Stress on the Piezoelectric Material Behavior of Ring-Shaped Ceramics
C. Scheidemann, T. Hemsel, O. Friesen, L. Claes, W. Sextro, in: 2023.

Influence of Temperature and Pre-Stress on the Piezoelectric Material Behavior of Ring-Shaped Ceramics
C. Scheidemann, T. Hemsel, O. Friesen, L. Claes, W. Sextro, in: 2023.

Ein modellbasiertes Messverfahren zur Charakterisierung von Piezokeramiken unter Verwendung eines einzelnen scheibenförmigen Probekörpers
N. Feldmann,   Ein modellbasiertes Messverfahren zur Charakterisierung von Piezokeramiken unter Verwendung eines einzelnen scheibenförmigen Probekörpers, Universität Paderborn, 2021.

Untersuchung piezoelektrischer Materialeigenschaften unter hydrostatischer Last
O. Friesen, M.A. Pasha, M. Schwengelbeck, L. Claes, E. Baumhögger, B. Henning, in: Fortschritte der Akustik - DAGA 2024, 2024, pp. 1117–1120.

Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale Netze
K. Koch, L. Claes, B. Jurgelucks, L. Meihost, B. Henning, in: D. Gesellschaft für Akustik e.V. (Ed.), Fortschritte der Akustik - DAGA 2024, 2024, pp. 1113–1116.

Randomised material parameter piezoelectric impedance dataset with structured electrodes
K. Koch, L. Claes, Randomised Material Parameter Piezoelectric Impedance Dataset with Structured Electrodes, zenodo, 2024.

Inverse procedure for measuring piezoelectric material parameters using a single multi-electrode sample
L. Claes, N. Feldmann, V. Schulze, L. Meihost, H. Kuhlmann, B. Jurgelucks, A. Walther, B. Henning, Journal of Sensors and Sensor Systems 12 (2023) 163–173.

Machine learning in inverse measurement problems: An application to piezoelectric material characterisation
L. Claes, K. Koch, O. Friesen, L. Meihost, Machine Learning in Inverse Measurement Problems: An Application to Piezoelectric Material Characterisation, International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.

Randomised material parameter impedance dataset of piezoelectric rings
K. Koch, O. Friesen, L. Claes, Randomised Material Parameter Impedance Dataset of Piezoelectric Rings, Zenodo, 2024.

Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks
L. Claes, L. Meihost, B. Jurgelucks, Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks, GAMM Annual Meeting, Dresden, 2023.

Parameter Identification of Piezoelectrics improved by Neural Networks
B. Jurgelucks, Parameter Identification of Piezoelectrics Improved by Neural Networks, GAMM Annual Meeting, Dresden, 2023.

Parameter identification in piezoelectricity based on all-at-once and reduced regularization
R. Kuess, Parameter Identification in Piezoelectricity Based on All-at-Once and Reduced Regularization, GAMM Annual Meeting, Dresden, 2023.

Estimation of temperature-dependent piezoelectric material parameters using ring-shaped specimens
O. Friesen, L. Claes, C. Scheidemann, N. Feldmann, T. Hemsel, B. Henning, in: 2023 International Congress on Ultrasonics, Beijing, China, IOP Publishing, 2024, p. 012125.