2018
DOI: 10.1007/s00170-018-1973-2
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Machining of biocompatible materials: a review

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Cited by 80 publications
(42 citation statements)
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“…Different oxides and carbides (TiO 2 , SiO 2 , TiC etc.) are used previously in different studies to enhance biocompatibility [5,42]. In this study, EDS analysis is employed due to its capability to analyze the bulk concentration of elements present on the modified surface.…”
Section: Resultsmentioning
confidence: 99%
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“…Different oxides and carbides (TiO 2 , SiO 2 , TiC etc.) are used previously in different studies to enhance biocompatibility [5,42]. In this study, EDS analysis is employed due to its capability to analyze the bulk concentration of elements present on the modified surface.…”
Section: Resultsmentioning
confidence: 99%
“…Non-conventional machining techniques electric discharge machining (EDM), electron beam machining (EBM), and laser beam machining (LBM) among many others are being used to machine hard-to-cut materials [5]. In addition to machining the profiles, biomedical applications in dental and orthopaedics require specific surface modifications to enhance inherent (biocompatibility) properties.…”
Section: Introductionmentioning
confidence: 99%
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“…The analysis of the components of cutting forces is virtually indispensable in subtractive machining for medical and aircraft purposes—the components implemented in these industries must meet particularly severe quality requirements. This is even more difficult given the frequently manufactured thin-walled workpieces of complex geometry [2,3,4]. Considerable cutting forces could potentially decrease the surface finish quality, as a consequence of excessive chatter in the milling machine-milling cutter–workpiece–fixture system [5].…”
Section: Introduction—state-of-the-artmentioning
confidence: 99%
“…This method is commonly used in the optimisation of machining parameters. 3643 The experimental plan was developed in two stages. The final goal is to determine the best strategy and parameters to minimise the arithmetical mean roughness value ( R a ).…”
Section: Methodsmentioning
confidence: 99%