Morphological parameters of steel substrates determine the adhesion of coatings and adhesives. Three different assessment methods (cross section image, contact stylus instrument, and stripe light projection) were applied to blast-cleaned substrates. A total of 12 surface configurations were generated with different abrasive materials. The fractal dimensions were estimated by means of the box-counting method. Design of experiment and ANOVA were applied to statistically analyze the relationships. Factors included abrasive type, surface preparation grade, surface roughness, and surface profile measurement method. Similar relative trends for the fractal dimensions resulted for the three measurement methods. The normalized values of the fractal dimensions were approximately twice as high for the cross section profiles compared to the ones from contact stylus and stripe light projection. Fractal values derived from contact stylus measurements showed the highest repeatability, whereas those derived from cross section images showed the lowest repeatability.
MarquardtT, MomberAW.Classified substrate roughness parameters of blast-cleaned steel substrates and their effects on fractal dimensions. J Adhes Sci Technol. 2023;37(7):1233–1255. doi:10.1080/01694243.2022.2071045
3.
MarquardtT, MomberAW.The assessment of fractal dimensions with the direct use of scanning electron microscopy (SEM) images from blast-cleaned steel substrates. J Adhes Sci Technol. 2023;37(1):16–37. doi:10.1080/01694243.2021.2013057
4.
MarquardtT, MomberAW.The determination of fractal dimensions of blast-cleaned steel substrates by means of comparative cross-section image analysis and contact stylus instrument measurements. J Adhes Sci Technol. 2023;37(15):2175–2194.
5.
MannelqvistA, GrothMR.Comparison of fractal analyses methods and fractal dimension for pre-treated stainless steel surfaces and the correlation to adhesive joint strength. Appl Phys. 2001;73A:347–355. doi:10.1007/s003390100736
6.
GhodratiS, MohseniM, KandiSG. Dependence of adhesion strength of an acrylic clear coat on fractal dimension of abrasive blasted surfaces using image processing. The 6th International color and coating congress; 2015 November 10–12; Teheran, Iran.
7.
AmadaS, SatohA.Fractal analysis of surfaces roughened by grit blasting. J Adhes Sci Technol. 2000;14(1):27–41. doi:10.1163/156856100742096
8.
BahbouMF, NylenP, WigrenJ.Effect of grit blasting and spraying angle on the adhesion strength of a plasma-sprayed coating. J Thermal Spray Technol. 2004;13:508–514. doi:10.1361/10599630421406
9.
SaborowskiE, SteinertP, DittesA, . Introducing fractal dimension for interlaminar shear and tensile strength assessment of mechanically interlocked polymer-metal interfaces. Materials. 2020;13(9):2171
10.
ISO 8501-1. Preparation of steel substrates before application of paints and related products – visual assessment of surface cleanliness – Part 1: rust grades and preparation grades of uncoated steel substrates and of steel substrates after overall removal of previous coatings. Geneva: ISO; 2007.
11.
ISO 11126-7. Preparation of steel substrates before application of paints and related products – specifications for non-metallic blast-cleaning abrasives Part 7: fused aluminium oxide. Geneva: ISO; 2018.
12.
ISO 11127-4. Preparation of steel substrates before application of paints and related products – test methods for non-metallic blast-cleaning abrasives – Part 4: assessment of hardness by a glass slide test, Geneva: ISO; 2020.
13.
ISO 11124-3. Preparation of steel substrates before application of paints and related products - specifications for metallic blast-cleaning abrasives – Part 3: high-carbon cast-steel shot and grit. Geneva: ISO; 2018.
14.
ISO 11126-1. Preparation of steel substrates before application of paints and related products – specifications for non-metallic blast-cleaning abrasives – Part 1: general introduction and classification. Geneva: ISO; 2018.
15.
ISO 11124-1. Preparation of steel substrates before application of paints and related products – specifications for metallic blast-cleaning abrasives – Part 1: general introduction and classification. Geneva: ISO; 2018.
16.
ISO 8503-4. Preparation of steel substrates before application of paints and related products – surface roughness characteristics of blast-cleaned steel substrates – Part 4: method for the calibration of iso surface profile comparators and for the determination of surface profile – stylus instrument procedure. Geneva: ISO; 2012.
FalconerK.Fractal geometry: mathematical foundations and applications. New York: Wiley & Sons; 2014.
20.
Garcia-DiazA, PhillipsDT.Principles of experimental design and analysis. London: Chapman & Hall; 1994.
21.
MyersJL, WellAD, LorchRF.Research design and statistical analysis. 3rd ed. New York: Routledge; 2010.
22.
EverittB.The Cambridge dictionary of statistics. Cambridge: Cambridge University Press; 1998.
23.
MarquardtT, KrenzA, MomberAW, . The applicability of stripe light projection data to the determination of fractal dimensions of blast-cleaned steel surfaces. IJAAD-S-22-00611; 2023.
