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W. Richard Bowen and Nidal Hilal 4

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Dfractional<br />

0.18<br />

0.16<br />

0.14<br />

0.12<br />

0.10<br />

0.08<br />

0.06<br />

0.04<br />

0.02<br />

4.8 CHARACTERIsATION OF METAL sURFACEs 127<br />

CA202, ES404<br />

S5-20<br />

T5-20<br />

0.00<br />

0 5 10 15<br />

JHA / k<br />

20 25 30<br />

FIgURE 4.22 Fractional deposition of humic acids at different operating fluxes. The<br />

intercepts on the x-axis indicate the critical fluxes.<br />

applications in (bio) process industries. Many environments to which<br />

they may become exposed are potentially corrosive, <strong>and</strong> thus more<br />

corrosion-resistant surfaces may have greater operational lifetimes. In<br />

addition, surfaces may become fouled, leading to a reduction in operating<br />

efficiency, especially for surfaces involved in the desalination <strong>and</strong><br />

water treatment industries. This section will concentrate on the use of<br />

AFM to characterise the surface features <strong>and</strong> morphology of metal surfaces<br />

of interest in process engineering applications.<br />

One of the most commonly used materials in process equipment is<br />

stainless steel in various forms. In Figure 4.23, by way of example, are<br />

shown three 3-dimensional 50 � 50 �m scans of different steel surfaces of<br />

difference roughness characteristics, imaged in air [12].<br />

These are: (a) a ‘highly polished’ stainless steel surface with an optically<br />

fine finish, (b) the surface of a stainless steel sample disk, such as<br />

that commonly used for affixing AFM samples <strong>and</strong> (c) a sample stub<br />

similar to that in (b), which has undergone significant pitting owing to<br />

corrosion. Surface (b) contains ridges caused by the mechanical polishing<br />

of the surface, which are not visible in (a). For the corroded sample,<br />

there is clearly a much greater variation in the height of surface<br />

features <strong>and</strong> a greater number of asperities. This can be seen from the<br />

roughness parameters obtained from the height data contained in these

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