Research Article

Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius

Volume: 8 Number: 1 June 30, 2025
TR EN

Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius

Abstract

The present work studies the machinability of bearing steel, AISI 52100 in dry turning process with two different tool nose radius, i.e. 0.4 mm and 0.8 mm. A full factorial design was used to analyze the effect of cutting speed, feed, and depth of cut in terms of a cutting force, surface roughness, and energy consumption. The experimental data demonstrated that higher cutting forces and energy consumption always occurs when increasing the tool nose radius (0.8 mm), and the higher surface roughness in the case of the smaller (0.4 mm) nose radius. ANOVA and S/N ratio analysis indicated that the most important factor affecting cutting force was the feed rate of feed per tooth, and the depth of cut also had considerable effects on the surface roughness between the two depths of cut, particularly for the 0.4 mm radius tool. Although the trend in force and energy as a function of both radius were close to each other, the surface finish performance differed significantly. The results can be used in setting cutting parameters for high-hardness steels (AISI 52100) to balance productivity and surface quality.

Keywords

AISI 52100, Tool nose radius, Surface roughness, Cutting force, Energy Consumption

References

  1. Azizi, M. W., Belhadi, S., Yallese, M. A., Mabrouki, T., & Rigal, J. F. (2012). Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel. Journal of mechanical science and technology, 26, 4105-4114.
  2. Biček, M., Dumont, F., Courbon, C., Pušavec, F., Rech, J., & Kopač, J. (2012). Cryogenic machining as an alternative turning process of normalized and hardened AISI 52100 bearing steel. Journal of Materials Processing Technology, 212(12), 2609-2618.
  3. Binali, R., Yaldız, S., & Neşeli, S. (2022). Investigation of power consumption in the machining of S960QL steel by finite elements method. European Journal of Technique (EJT), 12(1), 43-48.
  4. Binali, R., Yaldız, S., & Neşeli, S. (2024). Finite element analysis and statistical investigation of S960ql structure steel machinability with milling method. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46(5), 260. Binali, R., Patange, A. D., Kuntoğlu, M., Mikolajczyk, T., & Salur, E. (2022). Energy saving by parametric optimization and advanced lubri-cooling techniques in the machining of composites and superalloys: A systematic review. Energies, 15(21), 8313.
  5. Binali, R., Korkmaz, M. E., Özdemir, M. T., & Günay, M. (2025). A Holistic Perspective on Sustainable Machining of Al6082: Synergistic Effects of Nano-Enhanced Bio-Lubricants. Machines, 13(4).
  6. Cook, N. H. (1973). Tool wear and tool life.
  7. Çaydaş, U., Kuncan, O., & Çelik, M. (2017). AISI 52100 rulman çeliğinin işlenebilirliğinin yüzey pürüzlülüğü, takım ömrü ve sıcaklık kriterlerine göre araştırılması. Politeknik dergisi, 20(2), 409-417.
  8. Demirpolat, H., Kaya, K., Binali, R., & Kuntoğlu, M. (2023). AISI 52100 Rulman Çeliğinin Tornalanmasında İşleme Parametrelerinin Yüzey Pürüzlülüğü, Kesme Sıcaklığı ve Kesme Kuvveti Üzerindeki Etkilerinin İncelenmesi. İmalat Teknolojileri ve Uygulamaları, 4(3), 179-189.
  9. Gupta, M. K., Niesłony, P., Korkmaz, M. E., Królczyk, G. M., Kuntoğlu, M., Pawlus, P., ... & Sarıkaya, M. (2023). Potential use of cryogenic cooling for improving the tribological and tool wear characteristics while machining aluminum alloys. Tribology International, 183, 108434.
  10. Günay, M., Korkmaz, M. E., & Yaşar, N. (2017). Finite element modeling of tool stresses on ceramic tools in hard turning. Mechanics, 23(3), 432-440.
APA
Karabulut, S., Binali, R., Korkmaz, M. E., & Çetin, T. (2025). Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius. Doğu Fen Bilimleri Dergisi, 8(1), 39-52. https://doi.org/10.57244/dfbd.1708389
AMA
1.Karabulut S, Binali R, Korkmaz ME, Çetin T. Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius. Doğu Fen Bilimleri Dergisi. 2025;8(1):39-52. doi:10.57244/dfbd.1708389
Chicago
Karabulut, Songül, Rüstem Binali, Mehmet Erdi Korkmaz, and Tayfun Çetin. 2025. “Machining of AISI 52100 Steel: Statistical Insights into Dry Environment With Variable Tool Nose Radius”. Doğu Fen Bilimleri Dergisi 8 (1): 39-52. https://doi.org/10.57244/dfbd.1708389.
EndNote
Karabulut S, Binali R, Korkmaz ME, Çetin T (June 1, 2025) Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius. Doğu Fen Bilimleri Dergisi 8 1 39–52.
IEEE
[1]S. Karabulut, R. Binali, M. E. Korkmaz, and T. Çetin, “Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius”, Doğu Fen Bilimleri Dergisi, vol. 8, no. 1, pp. 39–52, June 2025, doi: 10.57244/dfbd.1708389.
ISNAD
Karabulut, Songül - Binali, Rüstem - Korkmaz, Mehmet Erdi - Çetin, Tayfun. “Machining of AISI 52100 Steel: Statistical Insights into Dry Environment With Variable Tool Nose Radius”. Doğu Fen Bilimleri Dergisi 8/1 (June 1, 2025): 39-52. https://doi.org/10.57244/dfbd.1708389.
JAMA
1.Karabulut S, Binali R, Korkmaz ME, Çetin T. Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius. Doğu Fen Bilimleri Dergisi. 2025;8:39–52.
MLA
Karabulut, Songül, et al. “Machining of AISI 52100 Steel: Statistical Insights into Dry Environment With Variable Tool Nose Radius”. Doğu Fen Bilimleri Dergisi, vol. 8, no. 1, June 2025, pp. 39-52, doi:10.57244/dfbd.1708389.
Vancouver
1.Songül Karabulut, Rüstem Binali, Mehmet Erdi Korkmaz, Tayfun Çetin. Machining of AISI 52100 Steel: Statistical Insights into Dry Environment with Variable Tool Nose Radius. Doğu Fen Bilimleri Dergisi. 2025 Jun. 1;8(1):39-52. doi:10.57244/dfbd.1708389