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Journals / Gazi Mühendislik Bilimleri Dergisi / 2022 / Cilt: 8 - Sayı: 2

Machinability of CoCrMo Alloy used in Biomedical applications: Investigation of Cutting Tool Type

Biyomedikal Uygulamalarında Kullanılan CoCrMo Alaşımının İşlenebilirliği: Kesici Takım Tipinin İncelenmesi

Büşra MUTLU
Rüstem BİNALİ
Recep DEMİRSÖZ
Nafiz YAŞAR
Pages
215–227
Publication Date
2022-09-01
DOI
—
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AI Summary & Key Takeaways

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

The lowest Ra values were discovered when machining at the fastest possible cutting speed and feed rate, whereas the lowest T values were discovered when machining at the slowest possible cutting speed and feed rate.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:A study was conducted on the machinability of CoCrMo material, which is widely used in the health-care industry as an implant material.
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Key Findings & Data:When it came to dry machining testing, three separate variables of cutting speed and feed rate were used in conjunction with three different cutting tools (DCMT from two different firms and DCGT inserts).
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Conclusion & Impact:The lowest Ra values were discovered when machining at the fastest possible cutting speed and feed rate, whereas the lowest T values were discovered when machining at the slowest possible cutting speed and feed rate.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:CoCrMo · Tornalama · İşleme

Abstract

A study was conducted on the machinability of CoCrMo material, which is widely used in the health-care industry as an implant material. When it came to dry machining testing, three separate variables of cutting speed and feed rate were used in conjunction with three different cutting tools (DCMT from two different firms and DCGT inserts). Cutting tools with varied mechanical properties depending on hardness and toughness are available. A machine's output is defined as an average of surface roughness (Ra) and cutting temperature (T), which is calculated as the outcome of experimental study during machining. The outcomes of the tests were evaluated based on the signal-to-noise ratio (S / N) that was obtained. It was decided to apply the Analysis of Variance (ANOVA) approach to determine the influence of factors on Ra and T. In the analysis of variance, the feed rate was the most effective factor on Ra, with a precision ratio of 61.4%, while the cutting speed was the most effective factor on cutting temperature, with a precision ratio of 63.9%. The lowest Ra values were discovered when machining at the fastest possible cutting speed and feed rate, whereas the lowest T values were discovered when machining at the slowest possible cutting speed and feed rate.

Özet

Sağlık sektöründe yaygın olarak implant malzemesi olarak kullanılan CoCrMo malzemesinin işlenebilirliği üzerine bir çalışma yapılmıştır. Kuru işleme şartlarında gerçekleştirilen deneylerde, üç farklı kesici takım (iki farklı firmadan DCMT ve DCGT kesici uçlar) ile birlikte üç ayrı kesme hızı ve ilerleme miktarı değişkeni kullanılmıştır. Mevcut takımlar sertlik ve tokluğa bağlı olarak farklı mekanik özelliklere sahiptirler. Deneysel çalışmanın sonucu olarak işleme esnasında elde edilen ortalama yüzey pürüzlülüğü (Ra) ve kesme sıcaklığı (T) işleme çıktıları dikkate alınmıştır. Deneysel sonuçlar sinyal-gürültü (S/N) oranına göre değerlendirilmiş olup faktörlerin Ra ve T üzerindeki etkisini belirlemek için Varyans Analizi (ANOVA) kullanılarak değerlendirilmiştir. ANOVA sonuçlarına göre ilerleme miktarı %61,4 oranı ile Ra üzerindeki en etkili faktör iken, kesme hızı ise %63,9 ile T üzerinde en etkiki faktör olmuştur. En düşük Ra değerleri, en yüksek kesme hızı ve en düşük ilerleme miktarında, en düşük T değerleri ise en düşük kesme hızı ve ilerleme miktarında işleme ile gerçekleştirilen deneylerde elde edilmiştir.

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Cite This Article

MUTLU, B., BİNALİ, R., DEMİRSÖZ, R., YAŞAR, N. (2022). Machinability of CoCrMo Alloy used in Biomedical applications: Investigation of Cutting Tool Type. Gazi Mühendislik Bilimleri Dergisi, Cilt: 8 - Sayı: 2, 215–227. https://ajindex.com/articles/666706

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References (3)

  1. E. Şap and H. Çelik, “Investigation of Effects of Ti and Mn Addition on Microstructure and Mechanical Properties of Cobalt Based Alloys,” Electronic Journal of Machine Technologies, vol. 9, no. 3, pp. 25–33, 2012. E. Şap, “Investigation of effects of some metals on cobalt based alloys,” Fırat University Graduate School of Natural and Applied Sciences, 2010. I. Milošev, “CoCrMo Alloy for Biomedical Applications,” in Biomedical Applications, S. S. Djokić, Ed. Boston, MA: Springer US, 2012, pp. 1–72. doi: 10.1007/978-1-4614-3125-1_1. E. Bahce, M. S. Güler, E. EMİR, and C. ÖZEL, “CoCrMo Tibial Komponentin Karbür Takı m ile İşlenmesinde Yüzey Özelliklerinin Araştırılması,” Ordu University Journal of Science and Technology, vol. 8, no. 1, pp. 16–30, 2018.
  2. G. Meral, M. Sarıkaya, M. Mia, H. Dilipak, U. Şeker, and M. K. Gupta, “Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA,” International Journal of Advanced Manufacturing Technology, vol. 101, no. 5–8, pp. 1595–1610, 2019, doi: 10.1007/s00170-018-3061-z. M. E. Korkmaz and M. Günay, “Experimental and Statistical Analysis on Machinability of Nimonic80A Superalloy with PVD Coated Carbide,” Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 4, pp. 1141–1152, 2018.
  3. A. T. Abbas, D. Y. Pimenov, I. N. Erdakov, M. A. Taha, M. S. Soliman, and M. M. El Rayes, “ANN surface roughness optimization of AZ61 magnesium alloy finish turning: Minimum machining times at prime machining costs,” Materials, vol. 11, no. 5, 2018, doi: 10.3390/ma11050808. A. T. Abbas, D. Y. Pimenov, I. N. Erdakov, M. A. Taha, M. M. El Rayes, and M. S. Soliman, “Artificial intelligence monitoring of hardening methods and cutting conditions and their effects on surface roughness, performance, and finish turning costs of solid-state recycled aluminum alloy 6061 chips,” Metals, vol. 8, no. 6, 2018, doi: 10.3390/met8060394. M. S. Alajmi and A. M. Almeshal, “Modeling of Cutting Force in the Turning of AISI 4340 Using Gaussian Process Regression Algorithm,” Applied Sciences, vol. 11, no. 9. 2021. doi: 10.3390/app11094055. M. Kuntoğlu, A. Aslan, D. Y. Pimenov, K. Giasin, T. Mikolajczyk, and S. Sharma, “Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel,” Materials, vol. 13, no. 19. 2020. doi: 10.3390/ma13194242. M. K. Gupta, M. Mia, G. R.