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SCI-Expanded JCR Q2 Özgün Makale Scopus
Machinability Investigations based on Tool Wear, Surface Roughness, Cutting Temperature, Chip Morphology and Material Removal Rate during Dry and MQL-Assisted Milling of Nimax Mold Steel
MDPI AG 2023 Cilt 11 Sayı 3
Scopus Eşleşmesi Bulundu
27
Atıf
11
Cilt
🔓
Açık Erişim
Scopus Yazarları: Rüstem Binali, Mustafa Kuntoğlu, Havva Demirpolat, Haci Sağlam
Özet
Using cutting fluids is considered in industrial applications and academia due to their increased influence over many aspects such as machinability, sustainability and manufacturing costs. This paper addresses the machinability perspective by examining indicators such as roughness, cutting temperature, tool wear and chip morphology during the milling of mold steel. A special type of steel is Nimaxm which is a difficult-to-cut material because of its high strength, toughness, hardness and wear resistance. Since mold steels have the reverse geometry of the components produced by this technology, their surface quality and dimensional accuracy are highly important. Therefore, two different strategies, i.e., dry and minimum quantity lubrication (MQL), were chosen to conduct an in-depth analysis of the milling performance during cutting at different cutting speeds, feed rates and cutting depths. Without exception, MQL technology showed a better performance than the dry condition in obtaining better surface roughnesses under different cutting parameters. Despite that only a small improvement was achieved in terms of cutting temperature, MQL was found to be successful in protecting the cutting tool from excessive amounts of wear and chips. This paper is anticipated to be a guide for manufacturers and researchers in the area of mold steels by presenting an analysis of the capabilities of sustainable machining methods.
Anahtar Kelimeler (Scopus)
machinability Nimax milling

Anahtar Kelimeler

machinability Nimax milling

Makale Bilgileri

Dergi MDPI AG
ISSN 2075-4442
Yıl 2023 / 2. ay
Cilt / Sayı 11 / 3
Sayfalar 101 – 114
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
JCR Quartile Q2
TEŞV Puanı 648,00
Yayın Dili Türkçe
Kapsam Uluslararası
Toplam Yazar 4 kişi
Erişim Türü Basılı+Elektronik
Erişim Linki Makaleye Git
Alan Mühendislik Temel Alanı Makine Mühendisliği Üretim Teknolojileri Optimizasyon ve Teknikleri

YÖKSİS Yazar Kaydı

Yazar Adı BİNALİ RÜSTEM, DEMİRPOLAT HAVVA, KUNTOĞLU MUSTAFA, SAĞLAM HACI
YÖKSİS ID 6963641

Metrikler

Scopus Atıf 27
JCR Quartile Q2
TEŞV Puanı 648,00
Yazar Sayısı 4