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SCI JCR Q2 Özgün Makale Scopus
Influence of tool path strategies on machining time, tool wear, and surface roughness during milling of AISI X210Cr12 steel
The International Journal of Advanced Manufacturing Technology 2022 Cilt 119
Scopus Eşleşmesi Bulundu
34
Atıf
119
Cilt
2709-2720
Sayfa
Özet
In this study, the effect of four different machining methods consisting of “Trochoidal,” “Follow Part,” “Zig,” and “Zig-Zag” which are common in CAM package programs and used often in the industry has been investigated. Firstly, the 3D model of samples is produced in the CAD program. Models are machined in CNC milling workbench. In order to examine the effect of tool path strategies on tool life, the amount of wear loss as a criterion and the SEM images of tool wear as a supporting criterion are taken into account. According to the results, the “Zig-Zag” tool path strategy is the tool path that causes the highest weight loss in the cutting tool, while the “Trochoidal” tool path strategy causes in the least weight loss in the cutting tool. In addition, the surface roughness of the samples taken from different regions of the model and the operation time of the different tool paths are determined. In this context, the operation time of the test sample is maximum in “Zig” team path strategy, while it is at least in “Follow part” team path strategy. By examining the surface roughness, the best surface roughness values are obtained with the strategy of “Follow Part” and “Trochoidal” tool path, while the worst values are obtained in the “Zig” tool path strategy. As a result of the examination, the optimum tool path strategy for cutting tool life was found to be “Trochoidal” tool path. This work differs from the counterparts as handling the AISI X210Cr12 steel which make the paper first in determining the effect of tool path strategies on machinability. Lastly, obtained findings are useful for the organization of this type of steel in manufacturing chain of industrial companies.
Web of Science Eşleşmesi Bulundu
32
WoS Atıf
119
Cilt
Article
Belge Türü
Kaynak: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY · s. 2709-2720
Anahtar Kelimeler (WoS)

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Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2022 yılı verileri
International Journal of Advanced Manufacturing Technology
Q1
SJR Quartile
0,774
SJR Skoru
175
H-Index
Kategoriler: Industrial and Manufacturing Engineering (Q1) · Mechanical Engineering (Q1) · Computer Science Applications (Q2) · Control and Systems Engineering (Q2) · Software (Q2)
Alanlar: Computer Science · Engineering
Ülke: United Kingdom · Springer London
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

WoS | Bir kelimeye tıklayıp ilgili kaynaktaki yayınları görün.

Makale Bilgileri

Dergi The International Journal of Advanced Manufacturing Technology
ISSN 0268-3768
Yıl 2022 / 3. ay
Cilt / Sayı 119
Sayfalar 2709 – 2720
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI
JCR Quartile Q2
Teşvik Puanı 6,48 · YÖKSİS Akademik Teşvik
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 4 kişi
Erişim Türü Elektronik
Alan Mühendislik Temel Alanı Makine Mühendisliği Optimizasyon ve Teknikleri Üretim Teknolojileri

YÖKSİS Yazar Kaydı

Yazar Adı UZUN MAHİR, USCA ÜSAME ALİ, KUNTOĞLU MUSTAFA, GUPTA MUNISH KUMAR
YÖKSİS ID 6471861

Metrikler

Scopus Atıf 34
Havuz Atıfları 0
JCR Quartile Q2
Teşvik Puanı 6,48
Yazar Sayısı 4