Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Klambauer, Reinhard

  • Google
  • 2
  • 5
  • 47

Graz University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Ultrasonic Sensing Principles in Energy Systemscitations
  • 2019State Estimation Approach of Lithium-Ion Batteries by Simplified Ultrasonic Time-of-Flight Measurement47citations

Places of action

Chart of shared publication
Glanz, Gregor
1 / 1 shared
Keller, Severin
1 / 1 shared
Koller, Markus
1 / 2 shared
Bergmann, Alexander
1 / 15 shared
Popp, Hartmut
1 / 1 shared
Chart of publication period
2021
2019

Co-Authors (by relevance)

  • Glanz, Gregor
  • Keller, Severin
  • Koller, Markus
  • Bergmann, Alexander
  • Popp, Hartmut
OrganizationsLocationPeople

thesis

Ultrasonic Sensing Principles in Energy Systems

  • Klambauer, Reinhard
Abstract

This work focuses on the application of Ultrasonics or Ultrasound (US) wave propagation in two application scenarios: The first deals with the determination of flow characteristics of fluids in a pipe under harsh environmental conditions. The second scenario concerns the in-situ diagnosis of Li-Ion Batteries (LIBs) to estimate their State of Charge (SOC) and State of Health (SOH). To determine the flow characteristics a novel measurement principle based on US beam steering inside a pipe is introduced. A phased array of US transducers generates a steerable beam within the cross section of the pipe. A fluid flow inside the pipe leads to the formation of a flow field deflecting the US beam. Quantification of the deflection allows to derive parameters of the flow field,namely the flow velocity at the position of US beam. The described sensing mechanism is modeled based on a multiphysical approach. Simulations of this model are used to assess and optimize the sensing principle. In a second step a prototype is conceived and constructed. This includes the mechanical construction, the design of a custom electronic system and the software including the measurement evaluation. Furthermore a new acoustic field measurement methodology based on a membrane free optical microphone is set up to test and verify the prototype’s beamforming capabilities. Finally as a proof of concept the prototype is tested against a dedicated flow test bench. Within this work the results of these steps are discussed including the positive end result of the first flow tests. The second application scenario deals with the determination of mechanical properties of LIBs with Non-Destructive Testing (NDT) methologies employing US. During the operation and also over the lifetime LIBs are changing their mechanical properties. To monitor these changes two different approaches are investigated, at first a mechanical Eigenfrequency study of the cell and secondly the propagation of Surface Acoustic Waves (SAWs). The simulations for this approaches include finite element models for the Eigenfrequency study as well as a semi-analytical model for the estimation of the Time-of-Flight (ToF) of the SAWs between two points at the surface of the LIBs. The results of these simulations as well as the modeling approach are discussed.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • ultrasonic