Akar, Samet

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Profile URL
https://hdl.handle.net/20.500.14411/8347
Name Variants
S., Akar
Akar, Samet
Samet, Akar
A., Samet
Akar,S.
S.,Akar
A.,Samet
Job Title
Doktor Öğretim Üyesi
Email Address
samad.nadimi@atilim.edu.tr
Main Affiliation
Department of Mechanical Engineering
Status
Former Staff
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2

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14

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17

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8

DECENT WORK AND ECONOMIC GROWTH
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4

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7

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Scholarly Output

5

Articles

4

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1

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0

WoS Citation Count

15

Scopus Citation Count

23

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2

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3

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3.00

Scopus Citations per Publication

4.60

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1

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JournalCount
Artificial Intelligence for Engineering Design, Analysis and Manufacturing1
International Journal of Mechatronics and Manufacturing Systems1
Machining Science and Technology1
The International Journal of Advanced Manufacturing Technology1
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Author: Ilkhchi, Reza Najati

Scholarly Output Search Results

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    Article
    Citation - WoS: 7
    Citation - Scopus: 7
    Prediction of White Layer Formation in Μ-Wedm Process of Niti Shape Memory Superalloy: Fem With Experimental Verification
    (Springer London Ltd, 2021) Ilkhchi, Reza Najati; Akar, Samet; Meshri, Hassan Ali M.; Seyedzavvar, Mirsadegh
    Microscopic changes in the surface of nickel-titanium (nitinol) shape memory alloys (SMAs) in micro-wire electro-discharge machining (mu-WEDM) due to the formation of a resolidified layer on the machined surface, called white layer, are one of the main drawbacks in the processing of such alloys. Since these changes significantly affect the shape memory and elastic recovery characteristics of these alloys, reduction of the white layer thickness (WLT) based on the selection of optimum process parameters is essential to raise the quality of the machined parts. In this regard, a finite element model (FEM) has been developed to simulate the effects of mu-WEDM process parameters, including discharge current, pulse on-time, pulse off-time, and servo voltage, on the heat distributing in Ni55.8Ti SMA to predict the WLT. The flushing efficiency of electric discharges and the effect of flow regime of the dielectric fluid on the heat distribution in the workpiece and the formation of the WLT are analyzed. Experimental data are used to verify the accuracy of the FEM. The results show that the developed model can predict the WLT in mu-WEDM process of Ni55.8Ti SMA with an average error of 14%. The effects of discharge parameters on the formation of the WLT are discussed in details based on the results of the FEM.