scholarly journals Cutting Tool Wear Monitoring

2015 ◽  
Vol 15 (3) ◽  
pp. 380-384 ◽  
Author(s):  
Jan Madl ◽  
Michal Martinovsky
2017 ◽  
Vol 50 ◽  
pp. 354-360 ◽  
Author(s):  
Seongkyul Jeon ◽  
Christopher K. Stepanick ◽  
Abolfazl A. Zolfaghari ◽  
ChaBum Lee

2015 ◽  
Vol 29 (9) ◽  
pp. 3885-3895 ◽  
Author(s):  
Luka Čerče ◽  
Franci Pušavec ◽  
Janez Kopač

Measurement ◽  
2016 ◽  
Vol 77 ◽  
pp. 117-123 ◽  
Author(s):  
Wafaa Rmili ◽  
Abdeljalil Ouahabi ◽  
Roger Serra ◽  
René Leroy

Author(s):  
Israel Zamudio-Ramirez ◽  
Jose Alfonso Antonino-Daviu ◽  
Miguel Trejo-Hernandez ◽  
Roque A. Alfredo Osornio-Rios

Author(s):  
ChaBum Lee

This paper presents a non-contact, convenient, efficient cutting tool wear monitoring technique of dicing wheel based on a knife-edge diffraction interferometry. Dicing is a standard technology for fabricating components of micro-electromechanical systems, and the wear of dicing wheels may influence the components’ quality with respect to cutting-surface quality and subsurface damage. Based on the edge diffraction principle that utilizes interference of transmitted wave and a diffracted wave at the wheel end, the diffraction patterns according to dicing wheel conditions were scanned, and cross-correlation was used to extract attrition and abrasive wear from the measured diffraction patterns. Attrition and abrasive wear were related with lag and similarity coefficients of cross-correlation, respectively. This measurement technique can be used for in-process monitoring of wheel conditions or wheel radius compensation and can be included in dicing parameter optimization process.


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