Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing
AbstractThe polishing process is the most common technology used in applications where a high level of surface quality is demanded. The automation of polishing processes is especially difficult due to the high level of skill and dexterity that is required. Much of this difficulty arises because of the lack of reliable data on the effect of the polishing parameters on the resulting surface roughness. An experimental study was developed to evaluate the surface roughness obtained during Robot Assisted Polishing processes by the analysis of acoustic emission signals in the frequency domain. The aim is to find out a trend of a feature or features calculated from the acoustic emission signals detected along the process. Such an evaluation was made with the objective of collecting valuable information for the establishment of the end point detection of polishing process. As a main conclusion, it can be affirmed that acoustic emission (AE) signals can be considered useful to monitor the polishing process state. View Full-Text
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de Agustina, B.; Marín, M.M.; Teti, R.; Rubio, E.M. Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing. Sensors 2014, 14, 21514-21522.
de Agustina B, Marín MM, Teti R, Rubio EM. Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing. Sensors. 2014; 14(11):21514-21522.Chicago/Turabian Style
de Agustina, Beatriz; Marín, Marta M.; Teti, Roberto; Rubio, Eva M. 2014. "Surface Roughness Evaluation Based on Acoustic Emission Signals in Robot Assisted Polishing." Sensors 14, no. 11: 21514-21522.