TY - JOUR
T1 - Fuzzy estimation of feed-cutting force from current measurement-a case study on intelligent tool wear condition monitoring
AU - Li, Xiaoli
AU - Li, Han-Xiong
AU - Guan, Xin-Ping
AU - Du, R.
PY - 2004/11
Y1 - 2004/11
N2 - It is very important to use a reliable and inexpensive sensor to obtain useful information about manufacturing processing, such as cutting force for monitoring automated machining. In this paper, the feed-cutting force is estimated using inexpensive current sensors installed on the ac servomotor of a computerized numerical control (CNC) turning center, with the results applied to the intelligent tool wear monitoring system. The mathematical model is used to disclose the implicit dependency of feed-cutting force on feed-motor current and feed speed. Afterwards, a neuro-fuzzy network is used to identify the cutting force with current measurement only. This hybrid math-fuzzy approach will reduce the modeling uncertainty and measurement cost. Finally, the estimated cutting force is applied in the tool-wear monitoring process. Successful experiments demonstrate robustness and effectiveness of the suggested method in the wide range of tool-wear monitoring applications. © 2004 IEEE.
AB - It is very important to use a reliable and inexpensive sensor to obtain useful information about manufacturing processing, such as cutting force for monitoring automated machining. In this paper, the feed-cutting force is estimated using inexpensive current sensors installed on the ac servomotor of a computerized numerical control (CNC) turning center, with the results applied to the intelligent tool wear monitoring system. The mathematical model is used to disclose the implicit dependency of feed-cutting force on feed-motor current and feed speed. Afterwards, a neuro-fuzzy network is used to identify the cutting force with current measurement only. This hybrid math-fuzzy approach will reduce the modeling uncertainty and measurement cost. Finally, the estimated cutting force is applied in the tool-wear monitoring process. Successful experiments demonstrate robustness and effectiveness of the suggested method in the wide range of tool-wear monitoring applications. © 2004 IEEE.
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-7744225044&origin=recordpage
U2 - 10.1109/TSMCC.2004.829296
DO - 10.1109/TSMCC.2004.829296
M3 - RGC 22 - Publication in policy or professional journal
SN - 1094-6977
VL - 34
SP - 506
EP - 512
JO - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
JF - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
IS - 4
ER -
