TY - GEN
T1 - Real-time monitoring and prognosis of energy consumption in hard milling
AU - Liu, Z. Y.
AU - Sealy, M. P.
AU - Guo, Y. B.
AU - Liu, Z. Q.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/16
Y1 - 2016/12/16
N2 - Tool wear progression is inevitable in precision cutting. However, the effect of tool wear on energy consumption at machine, spindle, and process levels is yet to understand. In this study, specific energy in dry milling of hardened AISI H13 was studied at the machine, spindle, and process levels. The effect of process parameters and tool wear progression on energy consumption at each level was investigated. The results indicated that tool wear progression only has a predominant influence on energy consumption at the process level but not the machine and spindle levels. Energy consumption at machine level can be described with a traditional empirical model effectively. However, the traditional model is incapable of predicting energy consumption at the process level. The investigation in energy consumption at different levels can help improve energy efficiency. Since energy consumption at the process level is responsible for chip formation and surface generation, the study of energy consumption at this level is critical to understanding and optimizing of a machining process.
AB - Tool wear progression is inevitable in precision cutting. However, the effect of tool wear on energy consumption at machine, spindle, and process levels is yet to understand. In this study, specific energy in dry milling of hardened AISI H13 was studied at the machine, spindle, and process levels. The effect of process parameters and tool wear progression on energy consumption at each level was investigated. The results indicated that tool wear progression only has a predominant influence on energy consumption at the process level but not the machine and spindle levels. Energy consumption at machine level can be described with a traditional empirical model effectively. However, the traditional model is incapable of predicting energy consumption at the process level. The investigation in energy consumption at different levels can help improve energy efficiency. Since energy consumption at the process level is responsible for chip formation and surface generation, the study of energy consumption at this level is critical to understanding and optimizing of a machining process.
UR - http://www.scopus.com/inward/record.url?scp=85010534866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010534866&partnerID=8YFLogxK
U2 - 10.1109/ISFA.2016.7790200
DO - 10.1109/ISFA.2016.7790200
M3 - Conference contribution
AN - SCOPUS:85010534866
T3 - International Symposium on Flexible Automation, ISFA 2016
SP - 422
EP - 427
BT - International Symposium on Flexible Automation, ISFA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Symposium on Flexible Automation, ISFA 2016
Y2 - 1 August 2016 through 3 August 2016
ER -