scholarly journals Unsupervised learning and nonlinear identification for in-cylinder pressure prediction of diesel combustion rate shaping process

2019 ◽  
Vol 52 (29) ◽  
pp. 199-203 ◽  
Author(s):  
Wang Pan ◽  
Metin Korkmaz ◽  
Joachim Beeckmann ◽  
Heinz Pitsch
MTZ worldwide ◽  
2018 ◽  
Vol 79 (4) ◽  
pp. 16-21 ◽  
Author(s):  
Christian Jörg ◽  
Joschka Schaub ◽  
Daniel Neumann ◽  
Stefan Pischinger

2020 ◽  
Vol 3 (2) ◽  
pp. 181-190
Author(s):  
Daniel Neumann ◽  
Lukas Schäfers ◽  
Paul Muthyala ◽  
Jakob Andert ◽  
Stefan Pischinger

1982 ◽  
Vol 25 (200) ◽  
pp. 241-248 ◽  
Author(s):  
Masateru SHIMOTSU ◽  
Yasuhisa ENDO

2009 ◽  
Vol 2 (2) ◽  
pp. 362-375 ◽  
Author(s):  
Jan Hinkelbein ◽  
Can Sandikcioglu ◽  
Stefan Pischinger ◽  
Matthias Lamping ◽  
Thomas Körfer

2021 ◽  
Author(s):  
Theofanis Chountalas ◽  
Maria Founti

According to the current legislation, since 01/01/2020 it is necessary to operate marine diesel engines in a wide range of areas using MGO (Marine Gas Oil). Currently, most marine diesel engines operate on HSFO (High Sulfur Fuel Oil). In the present work the effect of MGO and HSFO on the combustion mechanism and performance of Marine Diesel Auxiliary Engines is investigated. This can be accomplished via comparative evaluation of operational parameters and net combustion rate at various engine operating conditions. In this work, performance evaluation is based on the processing of measured engine cylinder pressure data acquired at sea using both fuel types. The measured cylinder pressure traces are analyzed to determine the net combustion rate, ignition delay, dynamic start of fuel injection timing, injection-combustion quality and combustion duration. Final analysis confirmed that there is considerable impact of the fuel type on engine performance and the combustion mechanism. Due to the high rotational speed of auxiliary engines, alterations in engine operation and especially the different dynamic response of the injection system between the two fuel types, led to measurably deviating engine performance, akin to different engine tuning. Severity of fuel effect was found dependent on engine type and especially condition.


2012 ◽  
Vol 13 (6) ◽  
pp. 607-615 ◽  
Author(s):  
Jan Hinkelbein ◽  
Florian Kremer ◽  
Matthias Lamping ◽  
Thomas Körfer ◽  
Joschka Schaub ◽  
...  

Author(s):  
Daniel Neumann ◽  
Paul Muthyala ◽  
Christian Frenken ◽  
Joschka Schaub ◽  
Christian Jörg ◽  
...  

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