Evaluation of methods for determining the combustion ignition delay in a Diesel engine powered by liquid biofuel

Mateusz Bednarski , Piotr Orliński , Marcin Krzysztof Wojs , Mieczysław Sikora

Abstract

The following article presents the results of empiric research of the delay time of self-ignition in the compression ignition engine Perkins 1104C-E44T, powered with biofuel – the mixture of fatty acid methyl esters. The research followed the calculations using known correlations that describe the delay of self-ignition in engines powered by petroleum fuels. The comparison of values calculated and achieved in the course of the research is shown in the graphs
Author Mateusz Bednarski (FACME / IAE)
Mateusz Bednarski,,
- Institute of Automotive Engineering
, Piotr Orliński (FACME / IAE)
Piotr Orliński,,
- Institute of Automotive Engineering
, Marcin Krzysztof Wojs (FACME / IAE)
Marcin Krzysztof Wojs,,
- Institute of Automotive Engineering
, Mieczysław Sikora (FACME / IV)
Mieczysław Sikora,,
- Institute of Vehicles
Journal seriesJournal of the Energy Institute, ISSN 1743-9671, (N/A 100 pkt)
Issue year2019
Vol4
No92
Pages1107-1114
Publication size in sheets0.65
Keywords in PolishSamozapłon, zwłoka samozapłonu, silnik
Keywords in Englishself-ignition; compression ignition delay; engine
ASJC Classification2102 Energy Engineering and Power Technology; 2103 Fuel Technology; 2105 Renewable Energy, Sustainability and the Environment; 2207 Control and Systems Engineering; 2208 Electrical and Electronic Engineering; 3104 Condensed Matter Physics
DOIDOI:10.1016/j.joei.2018.06.007
URL https://www.sciencedirect.com/science/article/pii/S1743967118300503
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 09-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus Citations = 0; GS Citations = 4.0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.366; WoS Impact Factor: 2018 = 3.774 (2) - 2018=3.433 (5)
Citation count*4 (2020-01-10)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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