Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
A review of indirect tool condition monitoring systems and decision‐making methods in turning: Critical analysis and trends
Sensors (Switzerland) · Ocak 2021
YÖKSİS Kayıtları
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
Sensors · 2020 SCI-Expanded
DOÇENT EMİN SALUR →
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends.
Sensors (Basel, Switzerland) · 2021 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ ÜSAME ALİ USCA →
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends
Sensors · 2020 SCI-Expanded
DOÇENT MUSTAFA KUNTOĞLU →
Makale Bilgileri
DergiSensors (Switzerland)
Yayın TarihiOcak 2021
Cilt / Sayfa21 · 1-33
Scopus ID2-s2.0-85098792933
Erişim🔓 Açık Erişim
Özet
The complex structure of turning aggravates obtaining the desired results in terms of tool wear and surface roughness. The existence of high temperature and pressure make difficult to reach and observe the cutting area. In‐direct tool condition, monitoring systems provide tracking the condition of cutting tool via several released or converted energy types, namely, heat, acoustic emis-sion, vibration, cutting forces and motor current. Tool wear inevitably progresses during metal cutting and has a relationship with these energy types. Indirect tool condition monitoring systems use sensors situated around the cutting area to state the wear condition of the cutting tool without in-tervention to cutting zone. In this study, sensors mostly used in indirect tool condition monitoring systems and their correlations between tool wear are reviewed to summarize the literature survey in this field for the last two decades. The reviews about tool condition monitoring systems in turning are very limited, and relationship between measured variables such as tool wear and vibration re-quire a detailed analysis. In this work, the main aim is to discuss the effect of sensorial data on tool wear by considering previous published papers. As a computer aided electronic and mechanical support system, tool condition monitoring paves the way for machining industry and the future and development of Industry 4.0.
Yazarlar (10)
1
Mustafa Kuntoğlu
ORCID: 0000-0002-7291-9468
2
Abdullah Aslan
3
Danil Yurievich Pimenov
4
Üsame Ali Usca
5
Emin Salur
6
Munish Kumar Gupta
ORCID: 0000-0002-0777-1559
7
Tadeusz Mikolajczyk
ORCID: 0000-0002-5253-590X
8
Khaled Giasin
9
Wojciech Kapłonek
10
Shubham Sharma
Anahtar Kelimeler
Acoustic emission
Current
Cutting force
Indirect tool condition monitoring systems
Industry 4.0
Machining
Temperature
Turning
Vibration
Kurumlar
Bingöl Üniversitesi
Bingol Turkey
Bydgoszcz University of Science and Technology
Bydgoszcz Poland
Politechnika Koszalinska
Koszalin Poland
Punjab Technical University
Jalandhar India
Selçuk Üniversitesi
Selçuklu Turkey
Shandong University
Jinan China
South Ural State University
Chelyabinsk Russian Federation
University of Portsmouth
Portsmouth United Kingdom
Metrikler
176
Atıf
10
Yazar
9
Anahtar Kelime