Welcome to research group 5208: Model-based determination of the nonlinear properties of piezoceramics in high-power ultrasonic applications (Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen - NEPTUN).

News

04.04.2024

Pro­ject Mem­bers at­tend DAGA 2024

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19.12.2023

Suc­cess­full present­a­tion of res­ults at the IWPMA 2023 in Korea

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23.10.2023

Nep­tun pro­ject mem­ber re­ceives award at 2023 ICU in Beijing

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05.06.2023

First res­ults presen­ted at the 93rd GAMM an­nu­al meet­ing in Dresden

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16.11.2022

Kick­off meet­ing in Lehnin

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More news

Project details

Project summary

Model-based determination of the nonlinear properties of piezoceramics in high-power ultrasonic applications

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Subproject MESS

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Subproject OPT

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Subproject SIM

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Subproject ANA

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Speak­er

Bernd Henning

Head -

Office: P1.5.18.1
Phone: +49 5251 60-3022
E-mail: henning@emt.uni-paderborn.de

Con­trib­ut­ing groups

Meas­ure­ment En­gin­eer­ing

Prof. Dr.-Ing. Bernd Henning

Math­em­at­ic­al Op­tim­iz­a­tion

Prof. Dr. Andrea Walther
Dr. Benjamin Jurgelucks

The­or­et­ic­al Elec­tric­al En­gin­eer­ing

Prof. Dr. Jens F?rstner

Dy­nam­ics and Mechat­ron­ics

Dr.-Ing. Tobias Hemsel

Par­tial Dif­fer­en­tial Equa­tions

Prof. Dr. Michael Winkler

All Con­trib­ut­ors

Fund­ing

The resarch group 5208 is funded by the German Resarch Foundation (DFG).

Pub­lic­a­tions

Untersuchung piezoelektrischer Materialeigenschaften unter hydrostatischer Last

O. Friesen, M.A. Pasha, M. Schwengelbeck, L. Claes, E. Baumh?gger, 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.


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 365体育_足球比分网¥投注直播官网 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.


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.


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.


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.


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.


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.


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 365体育_足球比分网¥投注直播官网 on Piezoelectric Materials and Applications in Actuators (IWPMA), 2022.


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.


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.


Ein modellbasiertes Messverfahren zur Charakterisierung von Piezokeramiken unter Verwendung eines einzelnen scheibenf?rmigen Probek?rpers

N. Feldmann,   Ein modellbasiertes Messverfahren zur Charakterisierung von Piezokeramiken unter Verwendung eines einzelnen scheibenf?rmigen Probek?rpers, Universit?t Paderborn, 2021.


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.



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.


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