Abstract
The calculation of the effective wake within the CFD
context is usually made by combining a potential-flow
method for modeling the propeller forces with a RANS
equation solver for simulating the viscous flow around
the hull and possible appendages. The different
assumptions and/or simplifications made in the potential
flow model relative to the viscous flow solver may result
in significant errors in the prediction of the effective
wake particularly for high loadings. This is especially
troublesome for ships with full forms where large
differences are expected between the nominal and
effective wake, and for special propulsion applications
such as contra-rotating units. Such errors are
responsible within the hydrodynamic design problem for an
unadjusted prediction of the propeller pitch, and within
the hydrodynamic analysis problem for a deficient
prediction of self-propulsion point. This paper presents
an approach based on correction factors which converts
propeller-induced velocities approximately estimated via
potential flow theory into viscous induced velocities on
the basis of a viscous flow RANS analysis. The correction
factors are calculated for one reference advance number
and work accurately in a neighboring region where the
propeller loading may change about ±50 %. This procedure
allows controlling one of the errors present in the
calculation of effective wakes, namely the error derived
from coupling a potential-flow method for the
representation of the propeller with a RANS solver.
Consequently, it permits calculating the effective wake
more precisely. The approach is illustrated for a simple
case in which the potential flow model representing the
propeller is an actuator disk
Original language | English |
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Pages (from-to) | 104-117 |
Number of pages | 13 |
Journal | Journal of Marine Science and Technology |
Volume | 20 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2015 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Coupling
- CRP
- effective wake
- pod propulsor
- potential flow
- RANS