Materials Map

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

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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.

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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.

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Tampere University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2020Estimation of Cavitation Pit Distributions by Acoustic Emission5citations
  • 2018Cavitation erosion resistance assessment and comparison of three francis turbine runner materials9citations
  • 2018Cavitation Bubble Collapse Monitoring by Acoustic Emission in Laboratory Testing2citations
  • 2017Cavitation bubble collapse detection by acoustic emission2citations
  • 2017Cavitation Bubble Collapse Detection by Acoustic Emissioncitations
  • 2015Wear and corrosion resistant laser coatings for hydraulic piston rods22citations
  • 2014Fatigue behavior of laser clad round steel bars16citations

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Chart of shared publication
Fivel, Marc C.
4 / 29 shared
Ylönen, Markku
5 / 6 shared
Saarenrinne, Pentti
5 / 8 shared
Laakso, Jarmo
1 / 7 shared
Franc, Jean-Pierre
5 / 21 shared
Nyyssönen, Tuomo
1 / 12 shared
Kokko, Voitto
1 / 1 shared
Fivel, Marc
1 / 14 shared
Pajukoski, T.
1 / 1 shared
Peltola, T.
2 / 8 shared
Vuoristo, Petri
2 / 75 shared
Tuominen, J.
2 / 12 shared
Näkki, J.
2 / 7 shared
Rasehorn, I.
1 / 2 shared
Kaplan, A. F. H.
1 / 1 shared
Poutala, J.
1 / 2 shared
Alam, M. M.
1 / 17 shared
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2020
2018
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Co-Authors (by relevance)

  • Fivel, Marc C.
  • Ylönen, Markku
  • Saarenrinne, Pentti
  • Laakso, Jarmo
  • Franc, Jean-Pierre
  • Nyyssönen, Tuomo
  • Kokko, Voitto
  • Fivel, Marc
  • Pajukoski, T.
  • Peltola, T.
  • Vuoristo, Petri
  • Tuominen, J.
  • Näkki, J.
  • Rasehorn, I.
  • Kaplan, A. F. H.
  • Poutala, J.
  • Alam, M. M.
OrganizationsLocationPeople

article

Estimation of Cavitation Pit Distributions by Acoustic Emission

  • Fivel, Marc C.
  • Ylönen, Markku
  • Saarenrinne, Pentti
  • Miettinen, Juha
  • Laakso, Jarmo
  • Franc, Jean-Pierre
Abstract

International audience ; Cavitation erosion in hydraulic machinery, such as in turbines and pumps, often leads to significant reduction of the service life of the affected components, with serious consequences for their maintenance costs and operation efficiency. In this study, the potential contribution of acoustic emission (AE) measurements to the assessment of cavitation damage is evaluated from experiments in a cavitation tunnel. Stainless steel samples were exposed to cavitation and damage was characterized from pitting tests carried out on mirror-polished samples. The pits were measured using an optical profilometer and cavitation damage was characterized by pit diameter distribution. In parallel, AE time signal was measured directly from behind the samples. A dedicated signal-processing technique was developed in order to identify each burst in the AE signal and determine its amplitude. The AE amplitude distribution compares well with PVDF and pressure sensor measurements from literature. It is concluded that AE signal analysis can be used to monitor the formation of pits without visual examination of the damaged surface. This provides a basis for possible future applications of nonintrusive cavitation erosion monitoring in hydraulic machines, provided the findings remain true in a more complex environment.

Topics
  • impedance spectroscopy
  • surface
  • stainless steel
  • experiment
  • acoustic emission