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Projects / Programmes source: ARIS

Monitoring kavitacije v hidravličnih strojih s pomočjo računalnisko podprte kavitacije (Slovene)

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Research activity

Code Science Field Subfield
2.03.01  Engineering sciences and technologies  Energy engineering  Efficient energy usage 

Code Science Field
T000  Technological sciences   
T210  Technological sciences  Mechanical engineering, hydraulics, vacuum technology, vibration and acoustic engineering 
Keywords
hydraulic machines, cavitation, monitoring, computer-aided visualization
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  04044  PhD Frančišek Bizjan  Energy engineering  Researcher  2000 - 2002  134 
2.  18836  PhD Marko Hočevar  Process engineering  Researcher  2000 - 2002  577 
3.  20430  Franc Jere  Process engineering  Researcher  2000 - 2002  22 
4.  15977  PhD Matej Novak  Process engineering  Researcher  2000 - 2002  107 
5.  14342  PhD Mihael Sekavčnik  Energy engineering  Researcher  2000 - 2002  565 
6.  09286  PhD Brane Širok  Mechanics  Head  2000 - 2002  1,185 
7.  01696  PhD Ferdinand Trenc  Energy engineering  Researcher  2000 - 2002  376 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0263  Scotta Turboinštitut Turbine machines, Ltd  Ljubljana  5051584000  276 
2.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  29,236 
Abstract
Cavitation in hydraulic machines cause surface erosion of the flow tract, noise, mechanical vibrations, and modification of flow field. The current state of the art of cavitation detection employs acoustic emission, pressure pulsation, mechanical vibration sensors, etc. Characteristically for all mentioned methods is an indirect observation of cavitation, which do not contain direct information about cavitation space structure and have relative low accuracy level. In contrast to mentioned methods, the aim of the proposed project is to develope a new, direct method of cavitation detection and monitoring on vital parts of the hydraulic machines with aid of a computer-aided visualization which will on-line provide information about cavitation in hydraulic machines useful for inspection and monitoring. It will enable machines to operate in the regions with just allowed cavitation conditions.
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