Journals / Gazi Mühendislik Bilimleri Dergisi / 2023 / Volume: 9 Issue: 3

Optimization of the Process Parameters by the Bees Algorithm in Milling of Austempered Ductile Cast Iron (GGG70) Material

Östemperlenmiş Sfero Dökme Demir (GGG70) Malzemenin Frezelenmesinde Proses Parametrelerinin Arı Algoritması ile Optimizasyonu

Gürkan Ataş(Tarsus Üniversitesi)0000-0001-7361-3789
Mete Kalyoncu(KONYA TEKNİK ÜNİVERSİTESİ)0000-0002-2214-7631
Mevlüt Aydın(KONYA TEKNİK ÜNİVERSİTESİ)0000-0001-5457-8340
Muhammet Hüseyin Çetin(KONYA TEKNİK ÜNİVERSİTESİ)0000-0003-0429-5507
Pages
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Publication Date
2024-01-01
DOI
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AI Summary & Key Takeaways

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

Especially, the optimum performance of vegetable oil compared to boron oil is important from the point of view of sustainable environment.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Austempered ductile cast iron materials are used in automotive and other industrial sectors.
📊
Key Findings & Data:By changing the cutting fluid, speed and depth in GGG-70 material, channels have been opened on the material surface by milling process with a width of 10 mm and a length of 50 mm.
💡
Conclusion & Impact:Especially, the optimum performance of vegetable oil compared to boron oil is important from the point of view of sustainable environment.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Minimum quantity lubrication · Bees Algorithm · Austempered ductile cast iron

Abstract

Austempered ductile cast iron materials are used in automotive and other industrial sectors. It has outstanding mechanical properties which high strength, wear resistance, ductility and fatigue strength compared to other cast irons. In addition, the most important factor limiting using in industry is its poor machinability. The machinability of a material depends not only on its mechanical properties and microstructure, but also on the selection and control of process variables. By changing the cutting fluid, speed and depth in GGG-70 material, channels have been opened on the material surface by milling process with a width of 10 mm and a length of 50 mm. The machining process was carried out using a minimum amount of lubricant (MQL). As a result of experiments with different processing parameters, the surface roughness and surface hardness of the material were measured. Compared to the uncut surface hardness, an average hardness reduction of 2%-10% occurred as a result of milling. The level of cutting parameters did not cause a statistically significant change in the surface hardness value. The mathematical model between different cutting parameters and surface roughness was obtained decisively by regression analysis. The optimum parameters of the cutting fluid, its speed and depth were found by the Bees Algorithm, which is a meta-heuristic methods optimization method. According to the Bees Algorithm, the optimum milling conditions are vegetable oil, 180 m/min cutting speed and 0.5 mm cutting depth. Especially, the optimum performance of vegetable oil compared to boron oil is important from the point of view of sustainable environment.

Özet

Östemperlenmiş küresel grafitli dökme demir malzemeler (GGG-70) otomotiv ve diğer endüstriyel sektörlerde yaygın olarak kullanılmaktadır. Diğer dökme demirlere kıyasla yüksek mukavemet, aşınma direnci, süneklik ve yorulma mukavemeti gibi üstün mekanik özellikleri vardır. Bunun yanında endüstride kullanılabirliğini kısıtlayan en önemli etken zayıf işlenebilirliğidir. Bir malzemenin işlenebilirliği sadece mekanik özelliklerine ve mikro yapısına değil aynı zamanda proses değişkenlerinin seçimine ve kontrolüne de bağlıdır. GGG-70 malzemenin frezelenmesinde kesme sıvısı türü, kesme hızı ve talaş derinliğini değerleri değiştirilerek, malzeme yüzeyinde 10 mm genişliğinde 50 mm uzunluğunda kanallar açılmıştır. Kesme sıvısı uygulaması minimum miktarda yağlayıcı (MQL) kullanılarak gerçekleştirilmiştir. Farklı işleme parametreleri ile yapılan deneyler sonucunda malzeme yüzeyinin pürüzlülüğü ve sertliği ölçülmüştür. İşlenmemiş yüzey sertliğine kıyasla frezelenmiş yüzeylerde ortalama %2-%10 arasında sertlik düşüşü meydana gelmiştir. Sertlik değerlerinin değişimi ile parametre seviyelerinin değişimi arasında anlamlı bir istatistik oluşmamıştır. Farklı kesme parametreleri ile yüzey pürüzlüğü arasındaki matematiksel model 1. dereceden regresyon analizi ile elde edilmiştir. Kesme sıvısının, kesme hızının ve talaş derinliğinin optimum parametreleri metasezgisel optimizasyon metodu olan Arı Algoritması ile bulunmuştur. Arı Algoritmasına göre optimum frezeleme koşulları bitkisel yağ, 180 m/dk kesme hızı ve 0.5 mm kesme derinliğinin kullanıldığı şartlarda elde edilmiştir. Özellikle bitkisel yağın bor yağına kıyasla optimum performans sağlaması, sürdürülebilir çevre açısında önem arz etmektedir.

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Cite This Article

Ataş, G., Kalyoncu, M., Aydın, M., Çetin, M. H. (2024). Optimization of the Process Parameters by the Bees Algorithm in Milling of Austempered Ductile Cast Iron (GGG70) Material. Gazi Mühendislik Bilimleri Dergisi, Volume: 9 Issue: 3. https://ajindex.com/articles/1397439

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