TRIBOLOGICAL PROPERTIES OF SIO2/TIO2 MULTILAYER, TIO2, SIO2 COATINGS DEPOSITED ON CP-TI IMPLANT MATERIAL IN SIMULATED BODY FLUID (SBF) SOLUTION
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS AND ENVIRONMENTAL ENGINEERING
Author(s): A. FATIH YETIM , AYHAN CELIK , MUSTAFA YAZICI , ONUR COMAKLI , TUBA YETIM
Abstract: In this study, the influences of different coatings on wear and scratch performances in simulated body fluid (SBF) solution were investigated. SiO2/TiO2 multilayer, TiO2 and SiO2 coatings were deposited on CP-Ti by sol-gel dip coating process and calcined at 700°C. The phase structure, crosssectional morphology, composition, wear track morphologies, adhesion properties, hardness and roughness of uncoated and coated samples were characterized with X-ray diffraction, scanning electron microscopy (SEM), scratch tester and 3D profilometer. Also, the tribological performances of all samples were investigated by a pin-on-disc tribo-tester against Al2O3 ball in SBF. Results showed that hardness, wear and adhesion resistance of multilayer coated samples were higher than untreated CP-Ti. It was found that the values of these three properties of SiO2/TiO2 multilayer coatings were higher than other coatings. Additionally, the lowest friction coefficient and wear rates were obtained on SiO2/TiO2 m
- Publication Date: 19-Aug-2016
- DOI: 10.15224/978-1-63248-100-9-58
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BEHAVIOUR PROFILING IN HEALTHCARE APPLICATIONS USING THE INTERNET OF THINGS TECHNOLOGY
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN INFORMATION PROCESSING AND COMMUNICATION TECHNOLOGY
Author(s): ABDELRAHMAN ABUARQOUB , MOHAMMAD HAMMOUDEH
Abstract: This position paper advocates applying the monitoring pogwer of IoT to build profiles of user behaviour using the large volumes of collected data. The desired system exploits sensor data mining approaches to profile user behaviour patterns in smart environments. Sensor data is mined to extract relationships of interest between environmental variables (context) and the user, building in this way behaviour profiles. The capability of applying knowledge to manipulate user’s environment is expected take monitoring beyond the simple alert-mode of operation to long term profiling of user’s behaviour. After a brief literature review to prove the suitability of IoT as a low-cost unsupervised profiling platform, we give the details of our proposal and the objectives that needs to be met before user behaviour profiling across inter-spaces is possible.
- Publication Date: 19-Aug-2016
- DOI: 10.15224/978-1-63248-099-6-25
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