computational hydrodynamic analysis of azipod system propeller-rudder

Upload: jorge-perez-patino

Post on 07-Apr-2018

245 views

Category:

Documents


1 download

TRANSCRIPT

  • 8/4/2019 Computational Hydrodynamic Analysis of AZIPOD System Propeller-Rudder

    1/14

    Ocean Engineering 35 (2008) 117130

    Computational hydrodynamic analysis of the propellerrudder and the

    AZIPOD systems

    Hassan Ghassemi, Parviz Ghadimi

    Department of Marine Technology, Amirkabir University of Technology, Hafez Ave, No 424, P.O. Box 15875-4413, Tehran, Iran

    Received 20 November 2006; accepted 13 July 2007

    Available online 27 July 2007

    Abstract

    A computational method has been developed to predict the hydrodynamic performance of the propellerrudder systems (PRS) and

    azimuthing podded drive (AZIPOD) systems. The method employs a vortex-based lifting theory for the propeller and the potential

    surface panel method for the steering system. Three propeller models along with three steering systems (rudder and strut, flap and pod

    (SFP)) are implemented in the present calculations for the cases of uniform and non-uniform conditions. Computed velocity components

    show good agreement with the experimental measurements behind a propeller with or without the rudder. Calculated thrust, torque and

    lift also agree well with the experimental results. Computations are also performed for an AZIPOD system in order to obtain the pressure

    distributions on the SFP, and the hydrodynamic performance (thrust, torque and lift coefficients). The present method is useful for

    examining the performance of the PRS and AZIPOD systems in the hope of estimating the propulsion and the maneuverability

    characteristics of the marine vehicles more accurately.

    r 2007 Elsevier Ltd. All rights reserved.

    Keywords: Hydrodynamic analysis; Propellerrudder; AZIPOD

    1. Introduction

    Propellerrudder systems (PRS) are located behind a

    ships stern where they encounter large wake flow. Due to

    the hulls presence, the flow distribution into the propeller

    is non-uniform and unsteady. Recent improvements made

    in the electrical propulsion by the engine manufacturers

    provide the azimuthing podded drive (AZIPOD) systems

    which are compact propulsion systems, and give excellent

    maneuverability. The most significant hydrodynamic ad-

    vantage of the AZIPOD system is that the propeller is setin a more regular flow. It utilizes a smaller rudder, i.e. the

    flap, located at the trailing edge of a vertical hydrofoil, and

    the strut, situated in a similar arrangement as a flap on an

    airplane wing, The flap and strut mechanism provides

    greater propulsion efficiency and excellent maneuverabi-

    lity. The flap is generally used for high-speed crafts when

    the pod needs to be locked in neutral position, but could

    also function as a controlling element for the course

    keeping task.

    Until now, hydrodynamics investigations of the propeller

    rudder systems, by virtue of different methodologies, have

    mainly concentrated on the PRS propulsors. A theoretical

    treatment of the propeller and rudder was initially

    conducted by Yamazaki (1968) and later numerically by

    Yamazaki et al. (1985). Tamashima et al. (1993) and

    Matsui et al. (1994) evaluated the PRS propulsion systems

    under uniform flow conditions. Matsui et al. (1994) applied

    this method in the context of the ship maneuverabilitytaking into account free surface effects. Molland and

    Turnock (1993, 1996) investigated experimentally the

    propellerrudder performance in the wind tunnel and

    developed the propeller theory and rudder lifting line

    theory to predict forces on a rudder in a propeller

    slipstream. Li (1996) also investigated the propellerrudder

    interactions by applying the lifting line theory for the

    propeller and the vortex lattice method for the rudder.

    For the AZIPOD systems, efficient numerical schemes

    are scarce. Rains et al. (1981) applied empirical formulas to

    ARTICLE IN PRESS

    www.elsevier.com/locate/oceaneng

    0029-8018/$ - see front matter r 2007 Elsevier Ltd. All rights reserved.

    doi:10.1016/j.oceaneng.2007.07.008

    Corresponding author. Tel.: +982166419615; fax: +982166413028.

    E-mail address: [email protected] (H. Ghassemi).

    http://www.elsevier.com/locate/oceanenghttp://dx.doi.org/10.1016/j.oceaneng.2007.07.008mailto:[email protected]:[email protected]://dx.doi.org/10.1016/j.oceaneng.2007.07.008http://www.elsevier.com/locate/oceaneng
  • 8/4/2019 Computational Hydrodynamic Analysis of AZIPOD System Propeller-Rudder

    2/14

    estimate the drag coefficients of different parts of the strut,

    flap, and pod (SFP). Wang et al. (2004) investigated

    experimentally and numerically (panel code) the push and

    pull configurations of the podded propulsion system andthe effect of the pod geometry on the hydrodynamic

    performance of the whole system.

    More recently, due to the market needs and in order to

    gain more efficiency by the AZIPOD systems, marine

    researchers have rigorously pursued this topic and much

    effort has been devoted to explore it numerically and

    experimentally. During the past two years, the 1st and 2nd

    T-Pod conferences have been held at the University of

    Newcastle (UK) and Universite de Bretagne Occidentale

    Brest (France) in 2004 and 2006, respectively, and many

    researchers (like Ma et al., 2004; Mohammed Islam et al.,

    2004; Sakir Bal et al., 2006; Zhang Lijun and Wang

    Yanyin, 2006) presented their latest findings.

    Hydrodynamic design of the propellerpod-strut system

    has not thus far been adequately explored. It is indeed

    imperative that we use more reliable procedures in the

    design of such a propulsion system in order to increase the

    propulsion efficiency. In an attempt to meet these needs,

    the present paper introduces a numerical procedure which

    analyzes the hydrodynamic performance of the PRS

    and the AZIPOD systems. The method applies Yamazaki

    et al.s (1985) method for the analysis of the propeller and

    the potential-based boundary element method (so-called

    panel method) for the steering system. This combined

    method could not only emulate the hydrodynamic behavior

    of the simple PRS systems, but also could quite satisfacto-

    rily predict the hydrodynamic performance of the more

    complex and involved AZIPOD systems. In this work, the

    effect of the steering system is also examined on both typesof the propulsors as well as the interactions occurring at

    different operating conditions.

    2. Prediction method

    2.1. Formulation of the problem

    2.1.1. Coordinate system

    In order to study the flow fields around a rotating

    propeller and steering system in a steady flow, a

    rectangular coordinate system O-XYZ and a cylindrical

    coordinate system O-Xry are defined in space. The origin is

    located at the center of the propeller and the X-axis

    coincides with the propeller shaft axis as shown Fig. 1. The

    steering post is placed behind the propeller and is parallel

    to the Z-axis. The distance between the post and the

    propeller is X XRud.

    2.1.2. Inflow velocity onto the propeller

    The propeller is assumed to rotate with a constant

    angular velocity o around the X-axis in the negative

    direction ofy. Denoting the components of the steady non-

    uniform velocity field towards the propeller in the

    Cartesian coordinates by (uPX, uPY, uPZ) and in the

    cylindrical coordinates by (vPX, vPr, vPy), they are expressed

    ARTICLE IN PRESS

    Nomenclature

    a0(r) geometric pitch of the propeller

    a(r) effective pitch of the propeller

    c(r) propeller chord length at r

    cM(r) distance from leading edge to maximum thick-ness

    CP pressure distribution coefficient

    D propeller diameter

    FRY rudder lift

    h(r) pitch of the free vortex

    kN(r) Prandtls tip correction factor

    MP radial number of intervals

    n revolutions per second

    N number of propeller blades

    nq normal vector

    NP circumferential number of intervals

    Pi pressure at center of each panel

    P0 atmospheric pressureP propeller pitch

    PU upper-side pressure

    PL lower-side pressure

    Q propeller torque

    rB hub radius

    R propeller radius

    SB body surface (steering system)

    SW wake surface

    SN

    outer control surface

    T propeller thrust

    tL(r) distance from LE to base line at r

    tT(r) distance from TE to base line at rtmax(r) maximum thickness at r

    tan ag zero lift angle from the base line~V0 upstream inflow velocityV measured axial mean velocity~Vr induced radial velocity~VP inflow velocity to propeller~VR inflow velocity to rudder~VX induced axial velocity~Vt induced tangential velocityXRud propellerrudder stock distance

    dF flap angle

    dR rudder angle

    fP velocity potential on propellerfR velocity potential on rudder

    fR right-side potential

    fL left-side potential

    r water density

    G(r,y) strength of bound vortex

    H. Ghassemi, P. Ghadimi / Ocean Engineering 35 (2008) 117130118

  • 8/4/2019 Computational Hydrodynamic Analysis of AZIPOD System Propeller-Rudder

    3/14

    as components of the vector:

    ~vP vPX; vPr; vPy uPX; uPY sin y

    uPZ cos y; 2prn uPY cos y uPZ sin y. 1

    In the case of steady and uniform flow, the inflow

    velocity simplifies to

    ~vP vPX; vPr; vPy V0; 0; 2prn, (2)

    where V0 is the speed at which water is moving onto the

    propeller and n is the propeller rotational speed.

    2.2. Vortex-based lifting theory for the propeller

    2.2.1. Vortex and potential calculations

    The propeller is represented by the vortex system. This is

    composed of the bound vortex arranged in the radial

    direction on the propeller (it is assumed that the propeller

    is replaced by the infinitely many blade-like actuator discs)

    and the free vortex shedding from the bound vortex. The

    free vortex is distributed on the helical surface with

    pitch 2ph(r) without contraction. The strength of the

    bound vortex G(r,y) and the velocity potential fP are

    determined by the equations of the propeller theory and the

    kinematic boundary condition (KBC). An iterative proce-

    dure is used to obtain converged values of h(r) on the bladeradius.

    The velocity potential fP due to the bound vortex on the

    propeller may be expressed (Yamazaki, 1968) as

    fP

    ZRrB

    r0 dr0Z2p

    0

    Gr0; y0GPx; r; y; r0; y0 dy0, (3)

    where

    GPx; r; y; r0; y0

    r0

    hr0

    1

    RP

    r cos y sin y0 r sin y cos y0

    R2P X

    21

    X

    RP 4

    and

    RP

    ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiX2 Y r0 sin y02 Z r0 cos y02

    q.

    Other parameters of the Eqs. (3) and (4) are identified in

    Fig. 2.

    2.2.2. Kinematic boundary condition

    The propeller is considered to have a finite number of

    blades and a finite chord length. Under these assumptions,

    the KBC on the blade is expressed as

    2

    ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffir2 ar2

    qNk1cr

    r2 hr2

    2rhrkNr

    0@

    1AGr; y

    qfPqX

    P

    hr

    r

    qfPrqy

    P

    ar

    rvPy vPX, 5

    where a(r) is the effective pitch angle and is defined by

    ar ka0r r tan ag

    1 a0r=r tan ag;

    tan ag 2k0tr=cr

    1:5 cMr=cr

    tLr tTr

    cr,

    tr tmaxr

    2 1

    cMr

    cr

    tLr

    cMr

    crtTr, 6

    kNr 2

    pcos1 exp N 1

    r

    R

    ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiR2 hr2q

    2hr

    8