Analysis of particle abrasive wear of engine oil when using lasernet fines analyzer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F13%3A61414" target="_blank" >RIV/60460709:41310/13:61414 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of particle abrasive wear of engine oil when using lasernet fines analyzer
Original language description
For technical practice, it is necessary to objectively analyze oil pollution. Quantification of the number and types of particles in the engine oil can be realized by various methods tribotechnickými. In this case the use analyzer of particles LNF for determining the abrasive particles in the oil. This device is not only used for classification of particles the oil, but also for the direct analysis of wear and contamination according to the standardized code purity. This paper describes the use of thisparticle analyzer for the analysis of engine oil from the machine Skoda Felicia Combi 1.3 MPI, which has undergone total general overhaul and went through a period of operation. 2013 Czech University of Life Sciences Prague.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JR - Other machinery industry
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
5th International Conference on Trends in Agricultural Engineering 2013, TAE 2013
ISBN
978-80-213-2388-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
637-641
Publisher name
Czech University of Life Sciences Prague
Place of publication
Prague
Event location
Prague
Event date
Sep 3, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000345059700125