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       by  marine  adhesives and  hence  foulants will  more  readily attach.  Moreover,  the foulants also  find
       shelter  from  shear  and  abrasion  in  the  crevices  and  thus  roughness  also  poses  a  threat  to  the
       hydrodynamical removal of the organisms.


       3  CORRELATION OF THE ROUGHNESS AND DRAG

       Townsin and Dey (I 990) correlated the roughness and drag of a very wide range of coated surfaces and
       found that the resistance of smooth newly painted surfaces correlated well with the parameter Rt50.
       Their main argument for the use of a single height parameter to characterise the roughness was that the
       texture of a newly painted surface must depend principally on the rheology of the paint. There is no in-
       service damage which might affect the texture and only a height parameter is required to differentiate
       one from another.  This argument may hold for newly painted SPC surfaces, but it does not hold for
       Foul  Release  surfaces  since  its  surface  texture  is  already  significantly  different  immediately  after
       application.

       Townsin and Dey (1990) had found that a composite roughness parameter, h, correlated well with the
       drag increase of the entire range of painted surfaces. The parameter h is equal to mo(m4/mz)0 ’ whereby
       mo, mz and   are the first even spectral moments of the roughness profile, which are directly related
       to the variances of the height, slope and curvature respectively. The drag increase is characterised by
       the roughness  function  AU/u,  as defined  by  Hama (1954).  Granville’s  indirect method was used  to
       convert the total drag as measured from the towing tank experiments to the roughness function at the
       trailing edge, using the equation (Granville, 1987):





       The  frictional  resistance  of  the  rough,  painted  surfaces  is  subtracted  from  the  smooth  aluminium
       reference values at equal values of ReCF. The frictional resistance coefficients CF were obtained from
       subtracting the wave resistance coefficients, as computed by a dedicated computational fluid dynamics
       tool, from the measured total resistance coefficients shown in Figure 1. The frictional resistance of the
       aluminium reference surface was found to be in excellent agreement with the Schoenherr friction line.
       Consequently, iteration of the Schoenherr equation was carried out to obtain (~/CF)’-’ of the aluminium
       surface at the respective  ReCF values of the painted  surfaces. The associated value of the roughness
       Reynolds number h’  = hu,/v  for the given value of ReCF is then applied  with the h values obtained
       from the optical roughness measurement:





       Figure 4 shows the roughness function of the two painted surfaces plotted against log(hu,/v  ).
       In Figure 4, the results of four other painted surfaces, which were tested by Dey with rotating drums
       (Dey, 1989), are included for the sake of comparison. Also plotted is the line of Colebrook-White form
       which Townsin and Dey (1990) had found to indicate the trend of 28 different painted surfaces. The
       influence of a different roughness parameter appears as a shift in the abscissa of the data in Figure 4,
       where the data seem to correlate quite well. The parameter h of the Foul Release surface was increased
       in view of the fact that the sample plates analysed by the optical measurement  system did not exhibit
       the same underlying conditions in terms of surface preparation. This was done by calculating mo  as the
       square of Rq, which in turn was calculated via a correlation relationship with Rt. The value of Rt was
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