Biyomedikal Uygulamalarında Kullanılan CoCrMo Alaşımının İşlenebilirliği: Kesici Takım Tipinin İncelenmesi

Year 2022, Volume: 8 Issue: 2, 215 - 227, 01.09.2022

Büşra Mutlu , Rüstem Binali , Recep Demirsöz , Nafiz Yaşar

Abstract

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.

Keywords

CoCrMo, Tornalama, İşleme, ANOVA, Regresyon Analizi

Supporting Institution

Karabük Üniversitesi

Project Number

KBÜBAP-18-YL-189

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

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.

Keywords

CoCrMo, Turning, Machining, ANOVA, Regression Analysis

Project Number

KBÜBAP-18-YL-189

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