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http://hdl.handle.net/10397/96024
Title: | A data-driven approach to predicting the attachment density of biofouling organisms | Authors: | Vellwock, AE Fu, J Meng, Y Thiyagarajan, V Yao, H |
Issue Date: | 2019 | Source: | Biofouling, 2019, v. 35, no. 8, p. 832-839 | Abstract: | The attachment efficiency of biofouling organisms on solid surfaces depends on a variety of factors, including fouler species, nutrition abundance, flow rate, surface morphology and the stiffness of the solid to which attachment is to be made. So far, extensive research has been carried out to investigate the effects of these factors on the attachment of various fouling species. However, the results obtained are species-dependent and scattered. There is no universal rule that can be applied to predict the attachment efficiency of different species. To solve this problem, the authors carried out meta-analysis of the effects of ten selected factors on attachment efficiency, resulting in a universal correlation between the attachment density and the selected factors, which was validated by attachment tests of tubeworms on PDMS surfaces. The results provide a practical approach to predicting the attachment efficiency of fouling organisms and should be of great value in the design of anti-biofouling materials. | Keywords: | Anti-biofouling Dimensional analysis Marine biofouling Meta-analysis Regression Surface topography |
Publisher: | Taylor & Francis | Journal: | Biofouling | ISSN: | 0892-7014 | DOI: | 10.1080/08927014.2019.1667982 | Rights: | © 2019 Informa UK Limited, trading as Taylor & Francis Group This is an Accepted Manuscript of an article published by Taylor & Francis in Biofouling on 1 Oct 2019 (published online), available at http://www.tandfonline.com/10.1080/08927014.2019.1667982. |
Appears in Collections: | Journal/Magazine Article |
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Vellwock_Data-Driven_Approach_Predicting.pdf | Pre-Published version | 687.25 kB | Adobe PDF | View/Open |
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