scholarly journals Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

2010 ◽  
Vol 23 (3) ◽  
pp. 869-882 ◽  
Author(s):  
Agustin Gajate ◽  
Rodolfo Haber ◽  
Raul del Toro ◽  
Pastora Vega ◽  
Andres Bustillo
2012 ◽  
Vol 13 (1) ◽  
pp. 702-706 ◽  
Author(s):  
Jaharah A. Ghani ◽  
Muhammad Rizal ◽  
Mohd Zaki Nuawi ◽  
Che Hassan Che Haron

2014 ◽  
Vol 984-985 ◽  
pp. 83-93
Author(s):  
D. Rajeev ◽  
D. Dinakaran ◽  
Shanmugam Satishkumar ◽  
Anselm W.A. Lenin

On-line monitoring of tool wear in turning is vital to increase machine utilization as scrapped components, machine tool breakage and unscheduled downtime result from worn tool usage cause huge economic loss. Several techniques have been developed for monitoring wear levels on the cutting tool on-line. Keeping in to account the difficulties encountered during the implementation of tool condition monitoring (TCM). The signal acquisition is one of the key elements used during the implementation of TCM. This paper provides an in depth coverage of various signal acquisition methods used in TCM.


1990 ◽  
Vol 28 (10) ◽  
pp. 1861-1869 ◽  
Author(s):  
YOICHI MATSUMOTO ◽  
NGUN TJIANG ◽  
BOBBIE FOOTE ◽  
YNGVE NAERHEIMH

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