TY  - GEN
AB  - For making decisions on maintenance and operations of ship systems in a timely and cost effective way, intelligent approaches for continuously assessing the critical ship systems condition are required. This study aims to provide a framework for large marine two-stroke diesel engines performance assessment, by mapping the relationship of specific malfunctioning engine conditions on the Instantaneous Crankshaft Torque (ICT). This is accomplished by the development of a thermodynamics model, which is coupled with a lumped mass crankshaft dynamics model, in order to predict the engine shaft dynamics and torsional response. Subsequently, by employing the coupled engine models, a number of case studies are simulated for investigating the influence on the engine ICT, which include: (a) change in the Start of Injection (SOI), (b) change in the Rate of Heat Release (RHR), (c) change in the scavenge air pressure, and (d) leaking exhaust valve. By investigating the predicted ICT from the coupled model in both the time and frequency domains, distinct frequencies are identified, which correspond to specific engine malfunctioning conditions. Based on the derived results, these engine malfunctioning conditions are mapped with the frequencies most affected in the engine’s instantaneous torque, which demonstrate the usefulness of implementing the the ICT measurement for diagnostic purposes.
AD  - Maritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde
AD  - Maritime Safety Research Centre, Department of Naval Architecture, Ocean & Marine Engineering, University of Strathclyde
AD  - Datum Electronics Ltd.,
AU  - Tsitsilonis, KM
AU  - Theotokatos, G
AU  - Habens, M
DA  - 2020-10-05
ID  - 7675
JF  - Conference Proceedings of INEC
KW  - Malfunctions engine conditions mapping
KW  - Engine maintenance
KW  - Shafting dynamics
KW  - Lumped-mass model
KW  - Two-stroke internal combustion engine
L1  - https://library.imarest.org/record/7675/files/INEC_2020_Paper_47.pdf
L2  - https://library.imarest.org/record/7675/files/INEC_2020_Paper_47.pdf
L4  - https://library.imarest.org/record/7675/files/INEC_2020_Paper_47.pdf
LK  - https://library.imarest.org/record/7675/files/INEC_2020_Paper_47.pdf
N2  - For making decisions on maintenance and operations of ship systems in a timely and cost effective way, intelligent approaches for continuously assessing the critical ship systems condition are required. This study aims to provide a framework for large marine two-stroke diesel engines performance assessment, by mapping the relationship of specific malfunctioning engine conditions on the Instantaneous Crankshaft Torque (ICT). This is accomplished by the development of a thermodynamics model, which is coupled with a lumped mass crankshaft dynamics model, in order to predict the engine shaft dynamics and torsional response. Subsequently, by employing the coupled engine models, a number of case studies are simulated for investigating the influence on the engine ICT, which include: (a) change in the Start of Injection (SOI), (b) change in the Rate of Heat Release (RHR), (c) change in the scavenge air pressure, and (d) leaking exhaust valve. By investigating the predicted ICT from the coupled model in both the time and frequency domains, distinct frequencies are identified, which correspond to specific engine malfunctioning conditions. Based on the derived results, these engine malfunctioning conditions are mapped with the frequencies most affected in the engine’s instantaneous torque, which demonstrate the usefulness of implementing the the ICT measurement for diagnostic purposes.
PY  - 2020-10-05
T1  - A Modelling Approach for Predicting Marine Engines Shaft Dynamics
TI  - A Modelling Approach for Predicting Marine Engines Shaft Dynamics
UR  - https://library.imarest.org/record/7675/files/INEC_2020_Paper_47.pdf
VL  - INEC 2020
Y1  - 2020-10-05
ER  -