Processing and testing of functional surface of low-wear ceramic implants

Denkena, B.; Reichstein, M.; Meer, M. van der; Hurschler, C.; Stukenborg-Colsman, Christina; Ostermeier, Sven

doi:10.1016/s0021-9290(06)83473-1

Cited by 1 publication

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“…The combination of the grinding and polishing steps ensures the requirements regarding shape accuracy and surface quality of the articulating surfaces are met. Previous work by the authors has described in detail the grinding process with toric tools [12-14] and the polishing process with resilient tools [15-20]. …”

Section: Methodsmentioning

confidence: 99%

Manufacturing conditioned roughness and wear of biomedical oxide ceramics for all-ceramic knee implants

Turger

Köhler

Denkena

et al. 2013

BioMedical Engineering OnLine

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BackgroundCeramic materials are used in a growing proportion of hip joint prostheses due to their wear resistance and biocompatibility properties. However, ceramics have not been applied successfully in total knee joint endoprostheses to date. One reason for this is that with strict surface quality requirements, there are significant challenges with regard to machining. High-toughness bioceramics can only be machined by grinding and polishing processes. The aim of this study was to develop an automated process chain for the manufacturing of an all-ceramic knee implant.MethodsA five-axis machining process was developed for all-ceramic implant components. These components were used in an investigation of the influence of surface conformity on wear behavior under simplified knee joint motion.ResultsThe implant components showed considerably reduced wear compared to conventional material combinations. Contact area resulting from a variety of component surface shapes, with a variety of levels of surface conformity, greatly influenced wear rate.ConclusionsIt is possible to realize an all-ceramic knee endoprosthesis device, with a precise and affordable manufacturing process. The shape accuracy of the component surfaces, as specified by the design and achieved during the manufacturing process, has a substantial influence on the wear behavior of the prosthesis. This result, if corroborated by results with a greater sample size, is likely to influence the design parameters of such devices.

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Section: Methodsmentioning

confidence: 99%