TY - GEN
T1 - Acoustic signal analysis for prediction of flank wear during conventional milling
AU - Roney, Travis
AU - Bauccio, Anthony
AU - Shaffer, Derek
AU - Lorson, Paige
AU - Ragai, Ihab
AU - Loker, David
AU - Nikhare, Chetan
N1 - Funding Information:
This project was partially funded by Penn State University Undergraduate Research Grants and Undergraduate Summer Research Fellowships. The author would to extend their gratitude to Mr. Glenn Craig for his technical assistance throughout this project.
Publisher Copyright:
Copyright © 2018 ASME
PY - 2018
Y1 - 2018
N2 - In recent years, the investigation of the acoustic signals (AS) produced from different machining processes have primarily focused on the ultrasonic frequency range. The objective of this work is to propose a novel technique for predicting the flank wear condition of a tool and ultimately tool failure (insert chipping) during the process of conventional face milling. Preliminary experiments suggest that the spectral content of audible acoustic emission (AAE) signals could be used to predict the cumulative flank wear in real time for an indexable carbide insert during the milling process. The experiments conducted for this study suggest a strong correlation between the magnitudes of the AAE in the selected frequency range, and the amount of wear on the insert.
AB - In recent years, the investigation of the acoustic signals (AS) produced from different machining processes have primarily focused on the ultrasonic frequency range. The objective of this work is to propose a novel technique for predicting the flank wear condition of a tool and ultimately tool failure (insert chipping) during the process of conventional face milling. Preliminary experiments suggest that the spectral content of audible acoustic emission (AAE) signals could be used to predict the cumulative flank wear in real time for an indexable carbide insert during the milling process. The experiments conducted for this study suggest a strong correlation between the magnitudes of the AAE in the selected frequency range, and the amount of wear on the insert.
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U2 - 10.1115/IMECE2018-86886
DO - 10.1115/IMECE2018-86886
M3 - Conference contribution
AN - SCOPUS:85060368174
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Y2 - 9 November 2018 through 15 November 2018
ER -