Journals / Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 23 Sayı: 1

Chip Morphology in Turning of AZ91D Magnesium Alloy under Different Machining Conditions

Farklı İşleme Koşullarında AZ91D Magnezyum Alaşımının Tornalanmasında Talaş Morfolojisi

Berat Barış Buldum(MERSİN ÜNİVERSİTESİ)0000-0003-2855-2571
İskender Özkul(MERSİN ÜNİVERSİTESİ)0000-0003-4255-0564
Pages
119–125
Publication Date
2019-04-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, only the cutting speed has a significant effect on the chip type.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In recent years, there has been an increase in research into industrial applications, especially in the machining of lightweight metals.
📊
Key Findings & Data:In this study, the effect of processing of AZ91D magnesium alloy in different parameters (machining medium, cutting speed, depth of cut, feed rate and cutting tool types) on the force, chip formation and cutting tool conditions were investigated.
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Conclusion & Impact:As a result, only the cutting speed has a significant effect on the chip type.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:AZ91D · Talaş oluşumu · Magnezyum alaşımı

Abstract

In recent years, there has been an increase in research into industrial applications, especially in the machining of lightweight metals. In this study, the effect of processing of AZ91D magnesium alloy in different parameters (machining medium, cutting speed, depth of cut, feed rate and cutting tool types) on the force, chip formation and cutting tool conditions were investigated. The experiments were designed using the L 18 orthogonal array of the Taguchi method. Thanks to the Taguchi method, time and cost savings were achieved by reducing the number of tests required. Then, the effect of the turning parameters on the force values was obtained by analysis of variance. The most important parameters affecting the force values were the depth of cut and the feed rate. As a result, only the cutting speed has a significant effect on the chip type.

Özet

Son yıllarda, özellikle hafif metallerin işlenmesinde ve bu metallerin endüstride uygulamalarına yönelik araştırmalarda önemli ölçüde artış olmuştur. Bu çalışmada, AZ91D magnezyum alaşımı farklı parametrelerde (işleme ortamı, kesme hızı, kesme derinliği, ilerleme oranı ve kesici takım tiplerine) işlenmesi sonrasında kuvvet, talaş tipleri ve kesici takım durumları incelenmiştir. Deneyler, Taguchi metodunun L 18 ortogonal dizini kullanılarak tasarlanmıştır. Taguchi metodu sayesinde yapılması gereken deney sayısı azaltılarak zaman ve maliyet tasarrufu sağlanmıştır. Ardından varyans analizi yapılarak tornalama parametrelerinin kuvvet değerlerine olan etkisi elde edilmiştir. Varyans analizi sonuçlarından kuvvet değerlerini etkileyen en önemli parametrelerin kesme derinliği ve ilerleme oranı olduğu belirlenmiştir. Sonuç olarak, yalnızca kesme hızının talaş tipinde önemli bir etkisinin olduğu görülmüştür.

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Cite This Article

Cagan, S. C., Buldum, B. B., Özkul, İ. (2019). Chip Morphology in Turning of AZ91D Magnesium Alloy under Different Machining Conditions. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 23 Sayı: 1, 119–125. https://doi.org/10.19113/sdufenbed.443411

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References (23)

  1. Shi, K., Ren, J., Zhang, D., Zhai, Z., Huang, X. 2017. Tool wear behaviors and its effect on machinability in dry high-speed milling of magnesium alloy. The International Journal of Advanced Manufacturing Technology, 90, 9-12, 3265-3273.
  2. Suneesh, E., Sivapragash, M. 2019. Parameter optimisation to combine low energy consumption with high surface integrity in turning Mg/Al2O3 hybrid composites under dry and MQL conditions. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41, 2, 89.
  3. Buldum, B. B., Aydın, S., Ozkul, I. 2013. Investigation of magnesium alloys machinability. International Journal of Electronics, Mechanical and Mechatronics Engineering, 2(3), 261-268.
  4. Ugurlu, M., Cagan, S. C., Buldum, B. B. 2017. Improvement of surface roughness using ANOVA for AZ31B magnesium alloy with ball burnishing process. Int J Engine Res Technol, 6(9), 216-221.
  5. Danish, M., Ginta, T. L., Habib, K., Abdul Rani, A. M., Saha, B. B. 2018. Effect of cryogenic cooling on the heat transfer during turning of AZ31C magnesium alloy. Heat Transfer Engineering, 1-10.
  6. Viswanathan, R., Ramesh, S., Subburam, V. 2018. Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions. Measurement, 120, 107-113.
  7. Ramesh, S., Viswanathan, R., Ambika, S. 2016. Measurement and optimization of surface roughness and tool wear via grey relational analysis, TOPSIS and RSA techniques. Measurement, 78, 63-72.
  8. Thein, M. A., Lu, L., Lai, M. 2009. Effect of milling and reinforcement on mechanical properties of nanostructured magnesium composite. Journal of Materials Processing Technology, 209(9), 4439-4443.
  9. Grigoraş, C. C., Brabie, G. 2015. The influence of milling parameters on the surface roughness in the case of magnesium alloy AZ61A. Elastic, 3(20), 41-45.
  10. Jović, S., Arsić, N., Vukojević, V., Anicic, O., Vujičić, S. 2017. Determination of the important machining parameters on the chip shape classification by adaptive neuro-fuzzy technique. Precision Engineering, 48, 18-23.
  11. Mia, M., Dhar, N. R. 2016. Response surface and neural network based predictive models of cutting temperature in hard turning. Journal of advanced research, 7(6), 1035-1044.
  12. Segreto, T., Simeone, A., Teti, R. 2014. Principal component analysis for feature extraction and NN pattern recognition in sensor monitoring of chip form during turning. CIRP Journal of Manufacturing Science and Technology, 7(3), 202-209.
  13. Byrne, G., Dornfeld, D., Denkena, B. 2003. Advancing cutting technology. CIRP Annals, 52(2), 483-507.
  14. Venkatesan, K. 2017. The study on force, surface integrity, tool life and chip on laser assisted machining of inconel 718 using Nd: YAG laser source. Journal of advanced research, 8(4), 407-423.
  15. Teti, R., Jawahir, I., Jemielniak, K., Segreto, T., Chen, S., Kossakowska, J. 2006. Chip form monitoring through advanced processing of cutting force sensor signals. CIRP annals, 55(1), 75-80.
  16. Hegab, H., Umer, U., Soliman, M., Kishawy, H. A. 2018. Effects of nano-cutting fluids on tool performance and chip morphology during machining Inconel 718. The International Journal of Advanced Manufacturing Technology, 96, 9-12, 3449-3458.
  17. Buldum, B., Esme, U., Kemal Külekci, M., Sik, A., Kazançoğlu, Y. 2012. Use of Grey-Taguchi method for the optimization of oblique turning process of AZ91D magnesium alloy. Materials Testing, 54, 11-12, 779-785.
  18. Grzesik, W. 2008. Advanced machining processes of metallic materials: theory, modelling and applications. Elsevier.
  19. Shaw, M. C., Cookson, J. 2005. Metal cutting principles. Oxford university press New York.
  20. Groover, M. P. 2007. Fundamentals of modern manufacturing: materials processes, and systems. John Wiley & Sons.
  21. Kalpakjian, S. S. 2013. Manufacturing engineering and technology. Pearson Education Limited.
  22. Warsi, S. S., Jaffery, S. H. I., Ahmad, R., Khan, M., Agha, M. H., Ali, L. 2018. Development and analysis of energy consumption map for high-speed machining of Al 6061-T6 alloy. The International Journal of Advanced Manufacturing Technology, 1-12.
  23. ISO I. 3685: Tool-Life Testing with Single-Point Turning Tools. 1993. International Organization for Standardization (ISO): Geneva, Switzerland.