Performance optimization of marine propellers

Lee, Chang-Sup; Choi, Young-Dal; Ahn, Byoung-Kwon; Shin, Myoung-Sup; Jang, Hyun-Gil

doi:10.3744/jnaoe.2010.2.4.211

Cited by 6 publications

(3 citation statements)

References 0 publications

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“…The increase of the thrust coefficient with open water propeller efficiency indicates that propeller performance can be enhanced by increasing the pitch angle provided the latter is smaller than the stall angle of the propeller. From Table 2, it could be observed that there is agreement with the results obtained from Lindo software and this investigation as well as that of Lee et al (2010). Salvatore et al (2011) showed from their experiment using BEM theory that at lower advance ratio the propeller is moderately loaded and was confirmed in this work and their results were also used for validation.…”

Section: Resultssupporting

confidence: 88%

“…(NNS Thunder (F90) -Wikipedia (2017)) 2. Optimisation of matching power of prime movers to propeller thrust and torque Analysis and optimisation of the thrust and torque produced by a propeller with prime movers and ship hull in an operating mode - Figure 2 is complex hence a finite dimensional analysis model is normally developed from the laws of physics (Lee, et al 2010;Stalinski, 1983) and according to Pivano (2008) the thrust and torque depend on the propeller geometrical parameters. In a paper of Priyanta (2015), he proffered that the matching is an application of the principle of conservation of energy i.e.…”

Section: ____________________________________________________________mentioning

confidence: 99%

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Optimising technique in matching combined diesel engine or gas turbine (CODOG) propulsion system to hull and propeller of a frigate

Bob-Manuel

Okim

2018

Proceedings of the International Naval Engineering Conference and Exhibition (INEC)

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In operation of a combined diesel engine or gas turb ine (CODOG) propulsion system, optimal matching of prime movers with propellers and ship hull is of great importance. Selection of an ideal propeller pitch that will be apt for different operating conditions of a marine vessel is an arduous task and requires initial assessment with a dedicated mathematical model. In this work, matching CODOG propulsion system to achieve best operation of type F90 frigate was carried out. A non-complex Java computer program (prop-matching) was developed to facilitate the matching process using dedicated simulation models in design and off-design conditions. The goal is to understand the interaction of either diesel engine or gas turbine with propeller and ship hull. The pitch of a controllable pitch propeller (CPP) was varied to the limit of optimal operation to absorb the power in either diesel engine or gas turbine mode in wide range of engine speeds and load. If a pitch other than that for the appropriate load and speed is selected, there would be an increase in fuel consumption, cavitation, vibration induced stresses in addition to stresses caused by engine load and wave motion on the vessel. The determination of the optimal operating points will lead to significant improvement in flexibility, minimum environmental impact and operating cost. Propeller characteristics were determined with hydrodynamics based on updated B-series regression polynomials which were correlated using Boundary Element Methods (BEM) and tuned with semi-empirical corrections. The analysis showed that the pitch ratio of a propeller has a dominating influence in the selection of the optimal points under operations in diesel or gas turbine mode and that the highest propeller efficiency did not occur at the optimal points. The output results for the open water propeller characteristics from this model are in good agreement with results of other authors and commercial Lindo software.

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Section: Resultssupporting

confidence: 88%

Section: ____________________________________________________________mentioning

confidence: 99%

Optimising technique in matching combined diesel engine or gas turbine (CODOG) propulsion system to hull and propeller of a frigate

Bob-Manuel

Okim

2018

Proceedings of the International Naval Engineering Conference and Exhibition (INEC)

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“…The challenging factor for the designer is to develop a propeller that fulfils the requirements and expectations within a short time frame available in the competition races, before manufacturing of the supplier's model propeller candidate. Thus, although the evaluation of propeller performance demands highly unsteady and physically tremendously complex simulations, it is common practice to apply less accurate but faster potential methods (Mishima [2], Griffin and Kinnas [3], Lee et al [4], Bertetta et al [5]).…”

Section: Introduction-the Problem In Propeller Designmentioning

confidence: 99%

Procedure for Application-Oriented Optimisation of Marine Propellers

Vesting

Bensow

Johansson

et al. 2016

JMSE

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The use of automated optimisation in engineering applications is emerging. In particular, nature inspired algorithms are frequently used because of their variability and robust application in constraints and multi-objective optimisation problems. The purpose of this paper is the comparison of four different algorithms and several optimisation strategies on a set of seven test propellers in realistic industrial design setting. The propellers are picked from real commercial projects and the manual final designs were delivered to customers. The different approaches are evaluated and final results of the automated optimisation toolbox are compared with designs generated in a manual design process. We identify a two-stage optimisation for marine propellers, where the geometry is first modified by parametrised geometry distribution curves to gather knowledge of the test case. Here we vary the optimisation strategy in terms of applied algorithms, constraints and objectives. A second supporting optimisation aims to improve the design by locally changing the geometry, based on the results of the first optimisation. The optimisation algorithms and strategies yield propeller designs that are comparable to the manually designed propeller blade geometries, thus being suitable as robust and advanced design support tools. The supporting optimisation, with local modification of the blade geometry and the proposed cavity shape constraints, features particular good performance in modifying cavitation on the blade and is, with the AS NSGA-II (adaptive surrogate-assisted NSGA-II), superior in lead time.

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