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Browsing by Author "Durkaya,G."

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    Low Cost, Ultra-High Throuhput Particle Counting Using Inertial Microfluidics
    (Chemical and Biological Microsystems Society, 2016) Çetin,B.; Kaplan,H.; Durkaya,G.; Kurtuldu,H.
    In this work, an ultra-high throughput microfluidic particle counting system is demonstrated. For the particle counting, a low cost custom-design optical hardware is developed. The microfluidic chip utilizes the inertial microfluidics to focus the particles in a certain location which significantly enhanced the optical signal utilized for the quantification of the number concentration. The effect of the particle focusing on the counting performance is demonstrated. The proposed system has a potential to be portable and has a capability to process 10 ml of sample within couple minutes.
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    Citation - Scopus: 1
    Wear Resistance Performance of Boron Nitride Coatings on End Milling Cutters
    (Inderscience Publishers, 2017) Çetin,B.; Durkaya,G.; Kurtuldu,H.; Hacaloglu,T.; Gurbuz,M.; Kaftanoǧlu,B.
    For defence industry applications, the machining of ultra-high strength steels or aluminium with ballistic temper grades is a widely-used operation. Therefore, it is a great challenge to find an optimum solution for tool wear. In that sense, tool coatings provide various solutions for machining of hard materials or improving wear resistance. A cost-effective tool coating provides longer tool life, hence decreases the tool cost contribution in production. Boron nitride (BN) coating could be thought as a new generation coating method compared to titanium nitride (TiN), aluminium titanium nitride (AlTiN) or silicon aluminium oxy-nitride (SiAlON). BN coating material has a great strength, toughness and chemical stability whereas it has an important disadvantage of high intrinsic stress. In this industrial study, standard end mill cutters are coated with BN material by physical vapour deposition (PVD) method. The coated and uncoated milling tools are compared according to their wear resistance and the obtained workpiece surface roughness. First results of the study are presented in this paper. © 2017 Inderscience Enterprises Ltd.