Scopus
YÖKSİS Eşleşti
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Measurement: Journal of the International Measurement Confederation · Mart 2021
YÖKSİS Kayıtları
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Measurement · 2021 SCI-Expanded
DOÇENT MUSTAFA KUNTOĞLU →
Makale Bilgileri
DergiMeasurement: Journal of the International Measurement Confederation
Yayın TarihiMart 2021
Cilt / Sayfa173
Scopus ID2-s2.0-85092517471
Özet
Monitoring of the cutting area with different type of sensors requires confirmation for composing sensor fusion to obtain longer tool life and high-quality product. The complex structure of machining and interaction between variables affect the influence of parameters on quality indicators. Using multiple sensors provide comparison of information acquired from different resources and make easier to decide about tool and workpiece condition. In this experimental research for the first time, five different sensors were adopted to a lathe for collecting data to measure the capability of each sensor in reflecting the tool wear. Cutting forces, vibration, acoustic emission, temperature and current measurements were carried out during turning of AISI 5140 with coated carbide tools. Considering the graphical investigation, the successes of sensors on detection of progressive flank wear and tool breakage were investigated. Besides, the effects of cutting parameters on measured variables were interpreted considering graphs. According to results, temperature and acoustic emission signals seem to be effective about 74% for flank wear. In addition, fuzzy logic based prediction of flank wear was performed with the assistance of temperature and acoustic emission sensors with high accuracy which demonstrates their availability for sensor fusion. Tool breakage occurs instantly which can prevent with the assistance of sensor signals and tangential and feed cutting forces, acoustic emission and vibration signals seem as reliable indicators for approaching major breakage. Sensor fusion based turning provides confirmed information which enables more reliable, robust and consistent machining.
Yazarlar (2)
1
Mustafa Kuntoğlu
ORCID: 0000-0002-7291-9468
2
Haci Sağlam
ORCID: 0000-0002-6598-8262
Anahtar Kelimeler
Acoustic emission
Current
Cutting forces
Sensor fusion
Temperature
Tool condition monitoring
Vibration
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
123
Atıf
2
Yazar
7
Anahtar Kelime