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

Jacobs, Georg

  • Google
  • 8
  • 59
  • 99

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2024A Review on Sensor‐Integrating Machine Elements24citations
  • 2023Evaluation of Wear Models for the Wear Calculation of Journal Bearings for Planetary Gears in Wind Turbines14citations
  • 2023Evaluation of Wear Models for the Wear Calculation of Journal Bearings for Planetary Gears in Wind Turbines5citations
  • 2022Towards a Model-Based Approach for the Optimization of the Mechanical and Economical Properties of Laser-Based Plastic-Metal Joints4citations
  • 2021A combined experimental and atomistic investigation of PTFE double tansfer film formation and lubrication in rolling point contacts20citations
  • 2021A combined experimental and atomistic investigation of PTFE double transfer film formation and lubrication in rolling point contacts20citations
  • 2021Model-Based Estimation of the Strength of Laser-Based Plastic-Metal Joints Using Finite Element Microstructure Models and Regression Models3citations
  • 2018Investigation on the Effects of Structural Dynamics on Rolling Bearing Fault Diagnosis by Means of Multibody Simulation9citations

Places of action

Chart of shared publication
Lehmann, Benjamin
3 / 3 shared
Gutiérrez Guzmán, Francisco
1 / 1 shared
Trompetter, Philipp
2 / 2 shared
Guzmán, Francisco Gutiérrez
1 / 1 shared
Berroth, Joerg
2 / 3 shared
Berges, Julius Moritz
2 / 4 shared
Straeten, Kira Van Der
2 / 5 shared
Reichenbach, Thomas
2 / 9 shared
Moseler, Michael
2 / 27 shared
König, Florian
2 / 2 shared
Moras, Gianpietro
2 / 15 shared
Goeldel, Stephan Von
2 / 2 shared
Mayrhofer, Leonhard
2 / 11 shared
Berroth, Jörg
1 / 1 shared
Gillner, Arnold
1 / 9 shared
Wegerhoff, Matthias
1 / 1 shared
Drichel, Pascal
1 / 1 shared
Golafshan, Reza
1 / 1 shared
Chart of publication period
2024
2023
2022
2021
2018

Co-Authors (by relevance)

  • Lehmann, Benjamin
  • Gutiérrez Guzmán, Francisco
  • Trompetter, Philipp
  • Guzmán, Francisco Gutiérrez
  • Berroth, Joerg
  • Berges, Julius Moritz
  • Straeten, Kira Van Der
  • Reichenbach, Thomas
  • Moseler, Michael
  • König, Florian
  • Moras, Gianpietro
  • Goeldel, Stephan Von
  • Mayrhofer, Leonhard
  • Berroth, Jörg
  • Gillner, Arnold
  • Wegerhoff, Matthias
  • Drichel, Pascal
  • Golafshan, Reza
OrganizationsLocationPeople

article

Evaluation of Wear Models for the Wear Calculation of Journal Bearings for Planetary Gears in Wind Turbines

  • Lehmann, Benjamin
  • Jacobs, Georg
  • Gutiérrez Guzmán, Francisco
  • Trompetter, Philipp
Abstract

<jats:p>To increase the power density of the electromechanical drive train of wind turbines, journal bearings can be used as planetary gear bearings instead of rolling bearings. This technological change presents new challenges. For example, wind turbine drive systems are subject to dynamic and low-speed operating conditions, which can lead to accelerated abrasive wear of the journal bearings. In addition, oil supply failure or peak loads due to wind gusts and grid and power converter faults could potentially result in catastrophic failure due to adhesive wear in a very short time. Such operating characteristics are, therefore, critical regarding the journal bearing wear lifetime and must be considered in the design. The successful implementation of journal bearings in wind turbines depends on a reliable estimation of adhesive and abrasive wear. In this paper, five different models for the wear calculation of journal bearings are evaluated regarding their suitability for the wear calculation of planetary gear bearings in wind turbines. For this purpose, the following evaluation criteria were defined: parameter uncertainty, parametrization effort, in particular number of parameters, parameterization method, load case dependency of parameters and calculation effort. In order to be able to evaluate the wear models, the wear models are numerically implemented, and the wear of a test journal bearing is exemplarily calculated under load conditions, which are comparable to load conditions in a wind turbine. Relevant influences from the wind turbine system, such as lubricant, material and manufacturing-dependent surface influences, such as roughness and hardness, are considered. The wear models are evaluated with respect to their fulfillment of the defined criteria. The resulting evaluation allows the selection of a wear model that can be used to calculate the wear of planetary gear journal bearings in wind turbines, considering the available input variables.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • hardness