Scopus
🔓 Açık Erişim
Monitoring Built-Up Edge, Chipping, Thermal Cracking, and Plastic Deformation of Milling Cutter Inserts through Spindle Vibration Signals
Machines · Ağustos 2023
Makale Bilgileri
DergiMachines
Yayın TarihiAğustos 2023
Cilt / Sayfa11
Scopus ID2-s2.0-85169112673
Erişim🔓 Açık Erişim
Özet
Condition monitoring provides insights into the type of damage occurring in the cutting tool during machining to facilitate its timely maintenance or replacement. By detecting and analyzing machining consequences (vibrations, chatter, noise, power consumption, spindle load, etc.), correlating them with different tool conditions enables real-time monitoring and the automated detection of tool failures. Machine learning (ML) plays a vital role in making tool condition monitoring (TCM) frameworks intelligent, and most research is geared toward classifying various types of tool wear. However, monitoring built-up edges, chipping, thermal cracking, and plastic deformation of milling cutter inserts are challenging and need careful consideration. To effectively monitor these phenomena, spindle vibrations can narrate the corresponding dynamic behavior of tool conditions and therefore have been investigated in this research. The acquired vibration data are then analyzed using histogram features and trained through the Partial C4.5 (PART) classifier to extract meaningful recommendations related to the milling cutter inserts condition.
Yazarlar (7)
1
Keshav Jatakar
2
Varsha Shah
3
Rüstem Binali
ORCID: 0000-0003-0775-3817
4
Emin Salur
5
Haci Sağlam
ORCID: 0000-0002-6598-8262
6
Tadeusz Mikolajczyk
ORCID: 0000-0002-5253-590X
7
Abhishek Dhananjay Patange
ORCID: 0000-0002-9130-694X
Anahtar Kelimeler
cutting tool
machine learning
partial C4.5 classifier
tool diagnosis
vibration signals
Kurumlar
Bydgoszcz University of Science and Technology
Bydgoszcz Poland
College of Engineering, Pune
Pune India
MKSSS’s Cummins College of Engineering for Women
Pune India
Rizvi College of Engineering
Mumbai India
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
1
Atıf
7
Yazar
5
Anahtar Kelime