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