TY - JOUR

T1 - Mathematical modelling of a self-polishing antifouling paint exposed to seawater: A parameter study

AU - Kiil, Søren

AU - Pedersen, M. S.

AU - Dam-Johansen, Kim

AU - Erik Weinell, Claus

PY - 2002

Y1 - 2002

N2 - A Fundamental mathematical model for a self-polishing antifouling paint was used to conduct a parameter study. The aims were to show how a mathematical model can reduce the amount of experimental work needed to estimate the behaviour of self-polishing antifouling paints at different conditions, and to suggest ways of controlling biocide release rates. A case study with an antifouling paint based on the well-known tributyltin self-polishing copolymer system showed that the rate of paint polishing was influenced, to various degrees, by the following parameters: seawater pH and concentration of NaCl, pigment particle size. pigment volume concentration of the paint, the rate of pigment dissolution, and the pore size distribution of the leached layer. The modelling approach can be applied to any type of self-polishing antifouling paint provided that kinetic, solubility and diffusivity data are available for the pertinent rate-influencing steps.

AB - A Fundamental mathematical model for a self-polishing antifouling paint was used to conduct a parameter study. The aims were to show how a mathematical model can reduce the amount of experimental work needed to estimate the behaviour of self-polishing antifouling paints at different conditions, and to suggest ways of controlling biocide release rates. A case study with an antifouling paint based on the well-known tributyltin self-polishing copolymer system showed that the rate of paint polishing was influenced, to various degrees, by the following parameters: seawater pH and concentration of NaCl, pigment particle size. pigment volume concentration of the paint, the rate of pigment dissolution, and the pore size distribution of the leached layer. The modelling approach can be applied to any type of self-polishing antifouling paint provided that kinetic, solubility and diffusivity data are available for the pertinent rate-influencing steps.

U2 - 10.1205/026387602753393358

DO - 10.1205/026387602753393358

M3 - Journal article

VL - 80

SP - 45

EP - 52

JO - Chemical Engineering Research & Design

JF - Chemical Engineering Research & Design

SN - 0263-8762

IS - 0

ER -