An image-based methodology to establish correlations between porosity and cutting force in micromilling of porous titanium foams

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DOIResolve DOI: http://doi.org/10.1007/s00170-011-3647-1
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TypeArticle
Journal titleThe International Journal of Advanced Manufacturing Technology
ISSN0268-3768
1433-3015
Volume60
Issue9-12
Pages841851; # of pages: 11
SubjectPorous titanium foam; Optical imaging; Image processing; Porosity; Micromilling; Cutting force
AbstractPorous titanium foam is now a standard material for various dental and orthopedic applications due to its light weight, high strength, and full biocompatibility properties. In practical biomedical applications, outer surface geometry and porosity topology significantly influence the adherence between implant and neighboring bone. New microfabrication technologies, such as micromilling and laser micromachining opened new technological possibilities for shape generation of this class of products. Besides typical geometric alterations, these manufacturing techniques enable a better control of the surface roughness that in turn affects to a large extent the friction between implant and surrounding bone tissue. This paper proposes an image analysis approach for optical investigation of the porosity that is tailored to the specifics of micromilling process, with emphasis on cutting force monitoring. According to this method, the area of porous material removed during micromilling operation is estimated from optical images of the micromachined surface, and then the percentage of solid material cut is calculated for each tool revolution. The employment of the aforementioned methodology in micromilling of the porous titanium foams revealed reasonable statistical correlations between porosity and cutting forces, especially when they were characterized by low-frequency variations. The developed procedure unlocks new opportunities in optimization of the implant surface micro-geometry, to be characterized by an increased roughness with minimal porosity closures in an attempt to maximize implant fixation through an appropriate level of bone ingrowth.
Publication date
LanguageEnglish
AffiliationNRC Industrial Materials Institute; National Research Council Canada
Peer reviewedYes
Identifier3647
NPARC number21268267
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Record identifier7f344ea3-7ee5-446d-9b1a-bf54d086f30e
Record created2013-06-12
Record modified2016-05-09
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