Engin NAS

Dr. Engin NAS

Engineering, Duzce University, Düzce, Turkey (Türkiye)
orcid
Dr. Engin NAS was born in Bafra, Turkey in 1983. He received...

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 November 2022 in Machines
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Engin NASEngin NAS
Engin NAS
Fuat KaraFuat Kara
Fuat Kara
In this study, machinability tests were carried out on a corrosion-resistant superalloy subjected to shallow (SCT) and deep cryogenic treatment (DCT) via electrical discharge machining (EDM), and the effect of the cryogenic treatment types applied to the material on the EDM processing performance was investigated. Experimental parameters, including pulse-on time (300, 400 and 500 μs), peak current (A) (6 and 10 A) and material types (untreated and treated with SCT and DCT), were used to construct the full factorial experimental design. The resulting average surface roughness (Ra) and material removal rate (MRR) results were optimized using the Taguchi L18 method. According to the Taguchi-based gray relational analysis, the optimal parameters for both Ra and MRR were determined as cryogenic treatment, pulse-on time and peak current, respectively. The response table obtained using the Taguchi method showed the most effective factors as A1BlC3 for Ra and A2B2C1 for MRR values. According to the ANOVA results for determining parameters affecting performance, peak current was the most effective factor for average surface roughness and MRR, at 74.79% and 86.43%, respectively. When examined in terms of Taguchi-gray relational degrees, the optimal parameters for both Ra and MRR were observed in the experiment performed with the SCT sample at a peak current of 6 A and 300 μs pulse-on time.

1 January 2021 in Advances in Materials Science and Engineering
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Engin NASEngin NAS
Engin NAS
Onur ÖZBEKOnur ÖZBEK
Onur ÖZBEK
FBFurgan Bayraktar
Furgan Bayraktar
Fuat KaraFuat Kara
Fuat Kara
This study investigated the effects of machining parameters on the experimental and statistical results using the electric discharge method in the machining of AISI D2 cold work tool steel. The design of the experiment was established using the Taguchi L18 method. The effect of the experiment parameters on the performance characteristics was analyzed by analysis of variance (ANOVA). As a result of the study, it was determined that increasing amperage and pulse time affected the surface roughness and hole diameter on the surface of the material. The lowest values for surface roughness, machining time, hole diameter, and crater diameter were determined as 2.085 μm, 47 minutes, 12.010 mm, and 81.007 μm, respectively. The highest wear amount was obtained as 0.604 grams with the processed parameters in the ninth experiment. When the signal‐to‐noise ratios were examined, the optimum combinations of the control factors for surface roughness, hole diameter, crater diameter, wear amount, wear rate, and processing time were determined as A1B1C3, A1B1C3, A1B1C3, A1B3C1, A2B1C1, and A1B3C3, respectively. According to the ANOVA results, the most important parameters affecting the test results for surface roughness, hole diameter, crater diameter, wear amount, material wear loss, and processing time were determined as amperage (49.34%), time‐on (59.38%), amperage (55.65%), time‐on (56.92%), amperage (51.42%), and amperage (78.02%), respectively. When the gray relational degree was calculated for the maximum and minimum values, the ideal factors for all output results were found to be the parameters applied in the third experiment.

26 May 2018 in Materials Testing
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Engin NASEngin NAS
Engin NAS
BÖBurak Öztürk
Burak Öztürk
Due to its excellent casting ability, spheroidal graphite cast iron is widely used in the production of complex automotive and machine products. In this study, the milling of spheroidal cast iron was carried out at different parameters. First, using the Taguchi statistical method, the parameters affecting surface roughness values were determined to b e cutting tool (65.54 %), then feed rate (19.65 %), and finally, with a minimum effect, cutting speed (7.31 %). Second, the amount of power consumed during chip removal was observed as being larger than the amount consumed when the machine was operating without a cutting load. Increases in the power index (PI) were measured by an amperemeter and it was determined that, as cutting speed was augmented, the amount of total power (Ptotal) consumed decreased, while, as feed rate was augmented, total power consumption increased. Total cutting energy (Pcutting) was increased by stepping up cutting speed. The PI was increased as a result of stepping up cutting speed and feed rate. On the basis of the cutting parameters, the Pcutting, Ptotal, spindle torque (%) and specific energy consumption (SEC) value changes were calculated.

4 August 2017 in Metallurgical and Materials Transactions A
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Engin NASEngin NAS
Engin NAS
HGHasan Gökkaya
Hasan Gökkaya

15 May 2015 in Materials Testing
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Journal Article
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Engin NASEngin NAS
Engin NAS
HGHasan Gökkaya
Hasan Gökkaya
In this study, the mechanical and physical properties of hybrid reinforced (Al/B4C/Ni(K)Gr) metal matrix composite (MMC) materials were investigated. The MMC materials were produced using the powder metallurgy (PM) production method of hot pressing (HP). The aluminum alloy Alumix 13 was used as matrix material and boron carbide (B4C) and nickel-coated graphite (Ni(K)Gr) as reinforcement elements. The microstructural characteristics, hardness, 3-point bending strength and density values of the produced hybrid reinforced MMC materials were determined. The reinforcement element B4C was kept at constant concentration of 8 wt.-%. Four different MMC materials were produced with the addition of 0, 3, 5 and 7 wt.-% Ni(K)Gr in the B4C. From the SEM images of the MMC materials produced by the HP technique, it was observed that the reinforcement element exhibited a uniform distribution. Moreover, the particles showed an approach to each other depending on the particle size and the amount (wt.-%) of the reinforcement element. With increasing graphite content in the structure density, hardness and 3-point bending test values decreased.