A modelling approach for predicting marine engines shaft dynamics

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Tsitsilonis, K M and Theotokatos, G and Habens, M; (2020) A modelling approach for predicting marine engines shaft dynamics. In: Proceedings of the International Naval Engineering Conference & Exhibition 2020. Proceedings of the International Naval Engineering Conference & Exhibition . Institute of Marine Engineering, Science and Technology, London. (https://doi.org/10.24868/issn.2515-818X.2020.033)

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Abstract

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.

ORCID iDs

Tsitsilonis, K M ORCID logoORCID: https://orcid.org/0000-0002-1752-9440, Theotokatos, G ORCID logoORCID: https://orcid.org/0000-0003-3547-8867 and Habens, M;
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