Efficient oil filtration is crucial for maintaining optimal engine performance and preventing damage, wear, and potential malfunctions in marine diesel engines. Contaminants present in fuel and lubricants can adversely affect combustion and engine operation. This article explores the significance of fuel and oil purification in marine diesel engines, focusing on techniques such as sedimentation, filtration, and centrifugation.The study highlights the substantial consumption of lubricants by marine diesel engines and their vulnerability to contamination. Increased lubricant consumption can result in wear and decreased efficiency. Thus, effective oil purification methods play a pivotal role in extending engine lifespan, reducing wear, and ensuring environmentally responsible operation.  Three primary methods of oil purification are discussed: sedimentation, filtration, and centrifugation. Sedimentation allows particles to settle due to gravity, filtration employs filters to capture solid impurities, and centrifugation utilizes centrifugal force to separate impurities based on density differences. To assess filtration efficiency, a practical scenario is presented, comparing full-flow, partial-flow, and combined filters. The article emphasizes the need for real-world data to make informed decisions about oil filtration methods. Furthermore, it highlights the importance of mathematical models, such as the Darcy-Brinkman equation, for understanding fluid movement and contamination distribution. Effective oil purification is essential for marine diesel engines to ensure optimal performance, reduce wear, and minimize environmental impact. By employing efficient filtration methods and leveraging mathematical models, marine industries can enhance their maintenance practices and contribute to the longevity and sustainability of their engines.

МЕТОД РАСЧЕТА ПЕРЕХОДНЫХ РЕЖИМОВ ГРЕБНЫХ ЭЛЕКТРОЭНЕРГЕТИЧЕСКИХ УСТАНОВОК ЭЛЕКТРОХОДОВ

ОПТИМАЛЬНОЕ УПРАВЛЕНИЕ ГРЕБНЫМИ ЭЛЕКТРОДВИГАТЕЛЯМИ ЭЛЕКТРОХОДОВ ПРИ РЕВЕРСИРОВАНИИ

The article presents a unified fractal approach to processing and analyzing ship trajectories based on AIS and ECDIS data. A comprehensive algorithmic pipeline is proposed, which provides time normalization, coordinate transformation, calculation of dynamic motion characteristics, and application of fractal analysis in sliding windows. This approach allows for the stable calculation of key parameters (course, angular velocity, deviation from the route) and detection of local changes in movement complexity that are not recorded by classical methods. The fractal indicators used (Higuchi, Katz, Petrosyan, DFA dimensions) demonstrate high reproducibility and resistance to typical navigation data shortcomings. The proposed framework is primarily intended for onboard and post-voyage analysis, supporting navigational performance assessment, trajectory reconstruction, and detailed investigation of vessel motion dynamics based on the records from AIS and ECDIS.

This study presents an analytical methodology for evaluating the influence of hull design parameters on the controllability and manoeuvrability of ships equipped with integrated electric propulsion systems. Unlike traditional approaches that examine the hull and propulsion plant independently, the proposed method employs a generalized model of transient modes within the propulsion complex, enabling the coupled interaction among the hull, propulsion units, electric motors, and the electrical power system to be captured during manoeuvring. Active experimental design and regression modelling are applied to construct controllability diagrams, identify the most influential dimensionless parameters, and reduce computational effort. The methodology is used to assess the effect of hull elongation (0.08–0.16 L) with curvature variation limited to 6%. The results show that this degree of elongation has minimal impact on turning performance and course-keeping stability, confirming the feasibility of such design modifications. The proposed approach provides an effective tool for early-stage design and modernization of electric ships and supports decision-making in ship behaviour prediction and traffic management.