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Numerical characterisation of biomedical titanium surface texture using novel feature parameters.

Wang, J*; Jiang, X Q*; Gurdak, E; Scott, P*; Leach, R K; Tomlins, P; Blunt, L* (2011) Numerical characterisation of biomedical titanium surface texture using novel feature parameters. Wear, 271 (7-8). pp. 1059-1065.

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Abstract

In biomedicine, titanium materials with specific surface finishes (e.g. consecutive polishing, sandblasting and acid etching) are widely used to facilitate osteointegration of human/animal tissue with implant surface structures. The surface texture plays a critical role in the material's functionality in terms of cellular adhesion and proliferation. However conventional surface topography characterisation parameters such as Sds (density of summits) and Ssc (mean summit curvature) deemed to be pertinent to cellular attachment are liable to be influenced by small scale topographical features such as measurement noise. In this research a novel feature characterisation based on pattern recognition techniques is implemented on specially processed titanium surfaces. Some potentially efficient field parameters are highlighted based on one-way Analysis of Variance (ANOVA). The mean dimensions and densities of the micro `concave cells' are extracted. Compared to conventional surface roughness parameters, the capability and stability of the feature parameters are described.

Item Type: Article
Subjects: Engineering Measurements
Engineering Measurements > Dimensional
Identification number/DOI: 10.1016/j.wear.2011.05.018
Last Modified: 02 Feb 2018 13:14
URI: http://eprintspublications.npl.co.uk/id/eprint/5225

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