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Journals / Gazi Mühendislik Bilimleri Dergisi / 2026 / Volume: 10 Issue: 1

Experimental and Statistical Investigation of the Effect of Nanoparticle Minimum Quantity Lubrication (nano-MQL) Method on Cutting Performance

Nanopartikül Takviyeli Minimum Miktarda Yağlama (MMY) Yönteminin Kesme Performansına Etkisinin Deneysel ve İstatistiki Araştırılması

Fuat Kara(Düzce Üniversitesi)0000-0002-3811-3081
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Publication Date
2024-04-30
DOI
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AI Summary & Key Takeaways

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

For optimum parameters, the cutting zone temperature was measured as 122 °C.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, two distinc cutting tools, coated carbide and cermet, were used in turning 20NiCrMo2 case-hardened steel.
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Key Findings & Data:Turning experiments were carried out with these tools at three distinc cooling methods (dry, MQL, nano-MQL), three distinc cutting speeds (80, 120, 160 m/min) and three distinc feed rates (0.125, 0.167, 0.2 mm/rev) has been carried out.
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Conclusion & Impact:For optimum parameters, the cutting zone temperature was measured as 122 °C.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:ANOVA · Cutting temperature · MQL

Abstract

In this study, two distinc cutting tools, coated carbide and cermet, were used in turning 20NiCrMo2 case-hardened steel. Turning experiments were carried out with these tools at three distinc cooling methods (dry, MQL, nano-MQL), three distinc cutting speeds (80, 120, 160 m/min) and three distinc feed rates (0.125, 0.167, 0.2 mm/rev) has been carried out. As a result of the experiments, the effects of cutting parameters, cutting tool type and cooling method type on the average surface roughness (Ra) and cutting zone temperature (Ctemp) were examined. In the study, the Taguchi optimization method was also applied to the experimental Ra and Ctemp results. As a result of Taguchi optimization, the most effective cutting parameters on Ra and Ctemp were determined. This result was confirmed by ANOVA analysis. Optimum parameters for Ra; cermet cutting tool, nano-MQL cooling method, 160 m/min cutting speed and 0.12 mm/rev feed rate. Optimum parameters for Ctemp; carbide cutting tool, nano-MQL cooling method, 80 m/min cutting speed and 0.12 mm/rev feed rate. Ideal numbers for both Ra and Ctemp were not found in the 18 turning experiments performed. Therefore, the 19th experiment was conducted for both output parameters. The average surface roughness value for optimum parameters was measured as 1.08 µm. For optimum parameters, the cutting zone temperature was measured as 122 °C.

Özet

Bu çalışmada, 20NiCrMo2 çeliğinin tornalanmasında kaplamalı karbür ve sermet olmak üzere iki farklı kesici takım kullanılmıştır. Bu takımlar ile üç farklı soğutma yöntemi (kuru, MQL, nano-MQL) üç farklı kesme hızı (80, 120, 160 m/dak) ve üç farklı ilerleme hızı (0,125, 0,167, 0,2 mm/dev) değerlerinde tornalama deneyleri gerçekleştirilmiştir. Deneyler sonucunda ortalama yüzey pürüzlülüğü (Ra) ve kesme bölgesi sıcaklığı (Ctemp) üzerinde kesme parametrelerinin, kesici takım türünün ve soğtma yöntemi türünün etkileri incelenmiştir. Çalışmada ayrıca deneysel Ra ve Ctemp sonuçlarına Taguchi optimizasyon metodu uygulanmıştır. Taguchi optimizasyonu sonucunda Ra ve Ctemp üzerinde en etkili kesme parametreleri tespit edilmiştir. ANOVA analizi ile bu sonuç doğrulanmıştır. Ra için optimum parametreler; sermet kesici takım, nano-mql soğutma yöntemi, 160 m/dak kesme hızı ve 0,12 mm/dev ilerleme hızı olarak bulunmuştur. Ctemp için optimum parametreler; karbür kesici takım, nano-mql soğutma yöntemi, 80 m/dak kesme hızı ve 0,12 mm/dev ilerleme hızı olarak bulunmuştur. Yapılan 18 tornalama deneyi içerisinde optimum parametrelere ait deneyler yer almadığı için hem Ra hem de Ctemp için 19. deneyler yapılmıştır. Optimum parametreler için ortalama yüzey pürüzlülük değeri 1,08 µm olarak ölçülmüştür. Bununla birlikte, optimum parametreler için kesme bölgesi sıcaklığı 122 °C olarak ölçülmüştür.

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Cite This Article

Kara, F. (2024). Experimental and Statistical Investigation of the Effect of Nanoparticle Minimum Quantity Lubrication (nano-MQL) Method on Cutting Performance. Gazi Mühendislik Bilimleri Dergisi, Volume: 10 Issue: 1. https://ajindex.com/articles/1397420

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