Tool condition monitoring in milling using a force singularity analysis approach

2020 ◽  
Vol 107 (3-4) ◽  
pp. 1785-1792 ◽  
Author(s):  
Chang’an Zhou ◽  
Kai Guo ◽  
Jie Sun ◽  
Bin Yang ◽  
Jiangwei Liu ◽  
...  
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 134113-134124 ◽  
Author(s):  
Chang'an Zhou ◽  
Kai Guo ◽  
Bin Yang ◽  
Haijin Wang ◽  
Jie Sun ◽  
...  

2020 ◽  
Vol 166 ◽  
pp. 105254 ◽  
Author(s):  
Chang'an Zhou ◽  
Bin Yang ◽  
Kai Guo ◽  
Jiangwei Liu ◽  
Jie Sun ◽  
...  

2019 ◽  
Vol 38 ◽  
pp. 840-847
Author(s):  
James Coady ◽  
Daniel Toal ◽  
Thomas Newe ◽  
Gerard Dooly

2019 ◽  
Vol 106 (3-4) ◽  
pp. 1385-1395
Author(s):  
Bin Shen ◽  
Yufei Gui ◽  
Biao Chen ◽  
Zichao Lin ◽  
Qi Liu ◽  
...  

1999 ◽  
Vol 8 (3) ◽  
pp. 096369359900800 ◽  
Author(s):  
P. S. Sreejith ◽  
R. Krishnamurthy

During manufacturing, the performance of a cutting tool is largely dependent on the conditions prevailing over the tool-work interface. This is mostly dependent on the status of the cutting tool and work material. Acoustic emission studies have been performed on carbon/phenolic composite using PCD and PCBN tools for tool condition monitoring. The studies have enabled to understand the tool behaviour at different cutting speeds.


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