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Journals / Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi / 2024 / Cilt: 11 Sayı: 2

Grey Relationship Analysis of Cutting Forces and Surface Roughness in Turning using Cryo-treated and Untreated Cutting Tools

Kriyojenik İşlem Uygulanmış ve Uygulanmamış Kesici Takımlar Kullanılarak Tornalamada Kesme Kuvvetleri ve Yüzey Pürüzlülüğünün Gri İlişkiler Analizi

Şehmus Baday(BATMAN ÜNİVERSİTESİ)0000-0003-4208-8779
Hüseyin Gürbüz(BATMAN UNIVERSITY)0000-0003-1391-172X
Onur Ersöz(BATMAN UNIVERSITY)0000-0002-9792-2268
Pages
359–368
Publication Date
2024-11-29
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AI Summary & Key Takeaways

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

The results showed that the optimum parameters for surface roughness and cutting forces were obtained as 0.1 mm/rev at feed rate and 180 m/min at cutting speed with cryo-treated cutting tool.

📌 3 Key Takeaways

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Objective & Hypothesis:The aim of this experimental study is to establish the optimum heat treatment procedure and machining parameters to obtain values of cutting force and surface roughness in machining AISI 1050 workpiece by utilizing grey relations analysis based on Taguchi method.
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Key Findings & Data:In this regard, machining operations were carried out at three different cutting speeds and three different feed rates at a constant depth of cut.
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Conclusion & Impact:The results showed that the optimum parameters for surface roughness and cutting forces were obtained as 0.1 mm/rev at feed rate and 180 m/min at cutting speed with cryo-treated cutting tool.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yüzey pürüzlülüğü · Kesme Kuvvetleri · ANOVA

Abstract

The aim of this experimental study is to establish the optimum heat treatment procedure and machining parameters to obtain values of cutting force and surface roughness in machining AISI 1050 workpiece by utilizing grey relations analysis based on Taguchi method. In this regard, machining operations were carried out at three different cutting speeds and three different feed rates at a constant depth of cut. Taguchi mixed-level design L18 (2^2 3^2) was chosen for machining experiments. The optimum heat treatment and machining parameters for determination of cutting force and surface roughness values were identified according to the fact that higher the Signal/Noise ratio is better based on grey relations analysis of Taguchi method. The results showed that the optimum parameters for surface roughness and cutting forces were obtained as 0.1 mm/rev at feed rate and 180 m/min at cutting speed with cryo-treated cutting tool. According to ANOVA table and Signal/Noise ratios, it was specified that the most effective parameters on cutting forces and surface roughness were feed rate, cutting speed and heat treatment conditions, respectively.

Özet

Gerçekleştirilen bu deneysel çalışmanın amacı, Taguchi Gri ilişkiler yöntemi kullanarak AISI 1050 çeliğinin tornalanmasında kesme kuvveti ve yüzey pürüzlülüğü değerlerini elde etmek için optimum ısıl işlem şartlarını ve işleme parametrelerini belirlemektir. Bu doğrultuda tornalama işlemleri, sabit kesme derinliğinde üç farklı kesme hızı ve üç farklı ilerleme değerlerinde gerçekleştirilmiştir. Tornalama deneyleri için Taguchi L18 (2^2 3^2) karma seviyeli tasarım dizilimi seçilmiştir. Yüzey pürüzlülüğü ve kesme kuvveti değerleri için en ideal ısıl işlem ve işleme parametreleri Taguchi Gri ilişkiler yöntemine göre sinyal/gürültü oranı en büyük en iyidir yaklaşımı ile tespit edilmiştir. Sonuçlar yüzey pürüzlülüğü ve kesme kuvvetleri için optimum parametrelerin kriyojenik ısıl işlem uygulanmış kesici takım ile, ilerleme değerinin 0,1 mm/dev ve kesme hızının 180 m/dak olduğu durumda elde edildiğini göstermiştir. ANOVA tablosu ve sinyal/gürültü oranlarına göre, kesme kuvvetleri ve yüzey pürüzlülüğü üzerinde en etkili parametreler sırasıyla ilerleme, kesme hızı ve ısıl işlem şartı olduğu tespit edilmiştir.

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Cite This Article

Baday, Ş., Gürbüz, H., Ersöz, O. (2024). Grey Relationship Analysis of Cutting Forces and Surface Roughness in Turning using Cryo-treated and Untreated Cutting Tools. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi, Cilt: 11 Sayı: 2, 359–368. https://doi.org/10.35193/bseufbd.1380719

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