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Dive into the research topics where A. Armagan Arici is active.

Publication


Featured researches published by A. Armagan Arici.


Journal of Composite Materials | 2005

Influence of Annealing on the Performance of Short Glass Fiber-reinforced Polyphenylene Sulfide (PPS) Composites:

A. Armagan Arici; Tamer Sinmazçelik; Levon Çapan; Iskender Yilgor; Emel Yilgor

The influence of annealing on the morphology and the performance of randomly oriented short glass fiber-reinforced polyphenylene sulfide (PPS) composites have been investigated by differential scanning calorimetry (DSC), dynamic mechanical analysis (DMTA), impact tests, and scanning electron microscopy (SEM). Endotherms belonging to secondary crystals are seen 10–20 C above the annealing temperatures. DMTA results showed that the annealed samples had higher glass transition temperatures and elastic moduli values when compared with the quenched samples. The effect of microstructure on elastic deformation, crack formation, and crack propagation are studied with instrumented impact tester.


Materials and Manufacturing Processes | 2017

Cutting performance of glass-vinyl ester composite by abrasive water jet

Mustafa Armağan; A. Armagan Arici

ABSTRACT Polymer matrix composite materials have been increasingly used in aerospace, defense, automotive and marine industries. In these fields, nontraditional machining method of abrasive water jet (AWJ) has been used significantly in order to form polymer matrix components. In this study, glass fiber reinforced vinyl ester composite plates have been investigated under various AWJ cutting parameters by using the Taguchi experimental design in detail. For Taguchi experimental design, experimental parameters of standoff distance, abrasive mass flow rate, traverse speed, pressure and material thickness were determined at three levels. Top kerf width and the surface roughness were investigated in order to understand the cutting performance. Finally, linear regression models were conducted and all performance parameters were examined using analysis of variance (ANOVA) and main effects plots. According to the overall test results, standoff distance was determined as the most effective one. The optimal parameter levels were obtained by the ‘main effects plots’, and finally, the predictive modeling was validated by performing the optimal combination of parameter levels.


Volume 3: Advanced Composite Materials and Processing; Robotics; Information Management and PLM; Design Engineering | 2012

Torque Loss Measurements on Poly V-Ribbed Belt Drive Systems

Berna Balta; Bülent Balta; Abdulkadir Cengiz; Fazil O. Sonmez; A. Armagan Arici

Efficient belts can provide the same magnitude of energy savings as energy-efficient motors. Therefore, belt drives deserve greater attention, so that their losses should be minimized. The belt drive power losses are a combination of torque losses and speed losses. However, the determination of belt drive behavior in terms of power losses requires extensive experimental investigations. Therefore, in this study, belt slip and torque losses were investigated experimentally with a laboratory constructed test bench. Measurement System Analysis (MSA) was performed in order to investigate the test rig reliability. Special attention was paid for experimental test setup, testing and modeling of torque loss behavior of V-ribbed belt drive systems. Significant design parameters were investigated.Copyright


Journal of Materials Science | 2005

Effects of double passes of the tool on friction stir welding of polyethylene

A. Armagan Arici; Tamer Sinmazçelýk


Journal of Materials Science | 2006

Impact–fatigue behaviour of unidirectional carbon fibre reinforced polyetherimide (PEI) composites

Tamer Sınmazçelik; A. Armagan Arici; Volkan Gunay


Journal of Materials Science | 2006

Thermal cycles effects on interlaminar shear strength (ILSS) and impact behaviour of carbon/PEI composites

Tamer Sınmazçelik; A. Armagan Arici


Neural Computing and Applications | 2011

Surface roughness prediction in machining of cast polyamide using neural network

Serhat Yilmaz; A. Armagan Arici; Erol Feyzullahoğlu


Journal of Materials Science | 2011

Effect of annealing process in water on the essential work of fracture response of ultra high molecular weight polyethylene

Sinan Yilmaz; Taner Yilmaz; A. Armagan Arici


Journal of Materials Science | 2004

Investigation about the effect of previous impacts on the impact behavior of high impact polystyrene (HIPS)

T. Şahin; Tamer Sinmazçelik; A. Armagan Arici


Materials & Design | 2016

Optimization of process parameters for friction weld steel tube to forging joints

Berna Balta; A. Armagan Arici; Muharrem Yilmaz

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Tamer Sınmazçelik

Scientific and Technological Research Council of Turkey

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