TY - GEN
T1 - The sensing technology of applying the acoustic emission sensor to the grinding wheel loading phenomenon
AU - Liu, Chien Sheng
AU - Li, Yu An
N1 - Funding Information:
The authors gratefully acknowledge the financial support provided to this study by the Ministry of Science and Technology of Taiwan under Grant Nos. MOST 104-2622-E-194-014-CC2, 106-2622-E-194-004-CC2, and 106-2628-E-194-001-MY3.
Funding Information:
The authors gratefully acknowledge the financial support provided to this study by the Ministry of Science and Technology of Taiwan under Grant Nos. MOST 104-2622-E- 194-014-CC2, 106-2622-E-194-004-CC2, and 106-2628-E-194- 001-MY3.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/27
Y1 - 2018/8/27
N2 - For the grinding machine tool, the loading effect is a common phenomenon causing grinding wheel wear. This phenomenon will also cause the deterioration of the grinding wheel cutting capability, requiring a large grinding force, and it will increase the vibration and temperature of the machine. Therefore, the identification of influences from the loading effect is an important subject in grinding machines. We can know the status of a machine for manufacturing grinding through its acoustic emission (AE) signal. We hope that it can eventually be applied to the grinding tool machine for the purpose of online monitoring, achieving an AE pre-alarm system for the loading effect, reducing machine manufacturing errors, and improving grinding machine precision.
AB - For the grinding machine tool, the loading effect is a common phenomenon causing grinding wheel wear. This phenomenon will also cause the deterioration of the grinding wheel cutting capability, requiring a large grinding force, and it will increase the vibration and temperature of the machine. Therefore, the identification of influences from the loading effect is an important subject in grinding machines. We can know the status of a machine for manufacturing grinding through its acoustic emission (AE) signal. We hope that it can eventually be applied to the grinding tool machine for the purpose of online monitoring, achieving an AE pre-alarm system for the loading effect, reducing machine manufacturing errors, and improving grinding machine precision.
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U2 - 10.1109/MESA.2018.8449149
DO - 10.1109/MESA.2018.8449149
M3 - Conference contribution
AN - SCOPUS:85053890964
SN - 9781538646434
T3 - 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
BT - 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
Y2 - 2 July 2018 through 4 July 2018
ER -