Araştırma Makalesi

Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach

Cilt: 14 Sayı: 1 27 Haziran 2026
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Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach

Öz

This study investigates the effects of tool geometry and cutting parameters on cutting forces in milling Al 7075 alloy, which is frequently preferred in the aerospace and automotive industries due to its high strength-to-weight ratio. Three-flute carbide end mills were specially manufactured with varying combinations of clearance angle (8°, 10°, 12°) and rake angle (14°, 18°, 22°). The experimental process used a Taguchi L9 orthogonal array with clearance angle, rake angle, and cutting speed (70, 85, 100 m/min) as control factors. Variance analysis (ANOVA) showed that cutting speed had the largest contribution ratio (40%) to cutting forces, with results serving as exploratory trend indicators. Signal-to-Noise (S/N) analysis identified 8° clearance angle, 18° rake angle, and 100 m/min cutting speed as the optimum combination for minimum cutting force. The lowest resultant cutting force measured was 469.72 N. The findings indicate that combining a small rake angle with a high cutting speed reduces cutting resistance and improves machining efficiency.

Anahtar Kelimeler

Destekleyen Kurum

Chair of the Scientific Research Projects (BAP) Commission at Sakarya University of Applied Sciences (Project No: 130-2023)

Etik Beyan

No ethical approval is required for this study.

Teşekkür

We would like to express our gratitude to the Sakarya University of Applied Sciences Scientific Research Projects Coordination Unit (BAPK) for supporting project number 202-2024 in the execution of this study.

Kaynakça

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  3. Seçgin, Ö., "Multi-objective Optimization of Ms58 Brass Machining Operation by Multi-axis CNC Lathe", Arabian Journal for Science and Engineering, 46 (3), Pages 2133–45, 2021. 10.1007/s13369-020-04984-8
  4. Zailani, Z.A., Rosli, M.H., Shuaib, N.A., Zainuddin, M.Z., Azawqari, A.A., "Optimisation of Cutting Performance in Drilling of Aluminium Alloy 7075 Involving Chilled Air Cooling under Taguchi Method", Journal of Advanced Research in Applied Mechanics, 133 (1), Pages 12–23, 2025.
  5. Cagan, S.C., Venkatesh, B., Buldum, B.B., "Investigation of surface roughness and chip morphology of aluminum alloy in dry and minimum quantity lubrication machining", Materials Today: Proceedings, 27 , Pages 1122–6, 2020. 10.1016/j.matpr.2020.01.547
  6. Zaino, A., Yazid, M., "Environmentally friendly approaches assisted machining of aluminum alloy 7075-T6 for automotive applications: A review", International Journal of Integrated Engineering, 11 (6), Pages 018–26, 2019.
  7. Habrat, W., Lisowicz, J., Tymczyszyn, J., Skroban, A., "Simulation and Experimental Study of the Termo-Mechanical Effect of the Milling Process of 7075 Aluminium Alloy", 18 (3), Pages 58–66, 2024.
  8. Saraf, G., Imam, S., Nirala, C.K., "Machinability analysis of additively manufactured Ti6Al4V using micro-pillar textured tool under various cutting fluid strategies", Wear, 556–557 (July), Pages 205514, 2024. 10.1016/j.wear.2024.205514

Ayrıntılar

Birincil Dil

İngilizce

Konular

Makine Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

24 Haziran 2026

Yayımlanma Tarihi

27 Haziran 2026

Gönderilme Tarihi

11 Şubat 2026

Kabul Tarihi

18 Haziran 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 14 Sayı: 1

Kaynak Göster

APA
Boz, H., Seçgin, Ö., & Özsert, İ. (2026). Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science, 14(1), 106-113. https://doi.org/10.18586/msufbd.1886552
AMA
1.Boz H, Seçgin Ö, Özsert İ. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. MAUN Fen Bil. Dergi. 2026;14(1):106-113. doi:10.18586/msufbd.1886552
Chicago
Boz, Hasan, Ömer Seçgin, ve İbrahim Özsert. 2026. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science 14 (1): 106-13. https://doi.org/10.18586/msufbd.1886552.
EndNote
Boz H, Seçgin Ö, Özsert İ (01 Haziran 2026) Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science 14 1 106–113.
IEEE
[1]H. Boz, Ö. Seçgin, ve İ. Özsert, “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”, MAUN Fen Bil. Dergi., c. 14, sy 1, ss. 106–113, Haz. 2026, doi: 10.18586/msufbd.1886552.
ISNAD
Boz, Hasan - Seçgin, Ömer - Özsert, İbrahim. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science 14/1 (01 Haziran 2026): 106-113. https://doi.org/10.18586/msufbd.1886552.
JAMA
1.Boz H, Seçgin Ö, Özsert İ. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. MAUN Fen Bil. Dergi. 2026;14:106–113.
MLA
Boz, Hasan, vd. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science, c. 14, sy 1, Haziran 2026, ss. 106-13, doi:10.18586/msufbd.1886552.
Vancouver
1.Hasan Boz, Ömer Seçgin, İbrahim Özsert. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. MAUN Fen Bil. Dergi. 01 Haziran 2026;14(1):106-13. doi:10.18586/msufbd.1886552