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Reflections on Power Prediction Modeling of Conventional High-Speed Craft pp 51–68Cite as

Propeller’s Open-Water Efficiency Prediction

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Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

Modeling propeller’s open water hydrodynamic characteristics is in many respects different from modeling resistance, although the same tools and methods are used. Two main differences should be emphasized: 1. Dependent variables that should be modeled simultaneously are thrust coefficient  and torque coefficient. By definition, these coefficients are interrelated (linked) through the expression for the open water efficiency.  2. While the dependent variables are always KT and KQ, the independent ones are some or all of the following: advance coefficient, pitch ratio, area ratio, number of blades  and cavitation number. This pre-determination makes modeling easier, since there is no need to search for optimum independent variables best suited for a particular propeller series.

The original version of this chapter was revised: For detailed information please see correction. The correction to this chapter is available at https://doi.org/10.1007/978-3-319-94899-7_8

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Notes

  1. 1.

    With the exception of cases where ANN was applied directly for obtaining KT and KQ (e.g. Neocleous and Schizas 2002), and not for MM development (which then can be used by other users who do not have knowledge about ANN whatsoever).

  2. 2.

    This propeller series was modeled in Neocleous and Schizas (2002) but is not addressed here due to reasons given in Sect. 1.5.3. See also Footnote 1, Sect. 4.1.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Department of Naval Architecture, University of Belgrade, Belgrade, Serbia

    Dejan Radojčić

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  1. Dejan Radojčić
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Correspondence to Dejan Radojčić .

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Radojčić, D. (2019). Propeller’s Open-Water Efficiency Prediction. In: Reflections on Power Prediction Modeling of Conventional High-Speed Craft. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-94899-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-94899-7_4

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