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Article Details

  • Article Code : FIRAT-AKADEMI-10422-5774
  • Article Type : Araştırma Makalesi
  • Publication Number : 1A0502
  • Page Number : 148-155
  • Doi : 10.12739/NWSA.2025.20.4.1A0502
  • Abstract Reading : 124
  • Download : 31
  • Atıf Sayısı : 0
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Issue Details

  • Year : 2025
  • Volume : 20
  • Issue : 4
  • Number of Articles Published : 6
  • Published Date : 1.10.2025

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Dergi Kapağı
Engineering Sciences

Serial Number : 1A
ISSN No. : 1308-7231
Release Interval (in a Year) : 4 Issues

Songül Karabulut1 , Rüstem BİNALİ2 , Muhammet Enver Gökdemir3 , Tayfun Çetin4 , Bekir Yavuzer5

Keywords

EXPERIMENTAL AND STATISTICAL EVALUATION OF THE MACHINABILITY OF PURE ZINC BY TURNING METHOD

Songül Karabulut1 , Rüstem BİNALİ2 , Muhammet Enver Gökdemir3 , Tayfun Çetin4 , Bekir Yavuzer5

In this study, the machinability of pure zinc during dry turning is examined experimentally. Low melting point and high ductility of zinc enable easy machining, while low strength and hardness result in a limiting factor for the usage of high-loading applications. Zinc samples (99.58% purity) are turned using a TiAlNi-coated carbide cutting tool at feed rates of 0.1-0.2mm/rev, depths of cut of 0.2-0.4mm, and cutting speeds of 20-40m/min. Surface roughness was evaluated as the main indicator of machinability, and the effects of parameters were statistically examined using S/N and ANOVA analyses. Optimum surface quality was observed at a low feed rate (0.1mm/rev), low cutting speed (20m/min), and 0.2mm depth of cut. Maximum surface roughness was achieved at high cutting speed and feed rate settings. The ANOVA results revealed that the depth of cut was the most influential parameter on surface roughness, followed by the feed rate and cutting speed, respectively. The R² value of 91.32% indicates a strong correlation between the model and the experimental results.

Keywords
Pure Zn, ANOVA, Turning, Surface Roughness, Machining,

Details
   

Authors

Songül Karabulut (1)

songulkarabulut376@gmail.com | 0009-0002-2591-5461

Rüstem BİNALİ (2)

Selçuk Üniversitesi
rstmbinali@gmail.com | 0000-0003-0775-3817

Muhammet Enver Gökdemir (3)

menvergokdemir@hakkari.edu.tr | 0000-0002-3314-3089

Tayfun Çetin (4) (Corresponding Author)
Hakkari Üniversitesi
tayfuncetin@hakkari.edu.tr | 0009-0003-3089-0489

Bekir Yavuzer (5)

bekiryavuzer@beykent.edu.tr | 0000-0001-8984-774X

Supporting Institution

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Project Number

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