Abstract
The 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.
Highlights
The increasing demand for improved surface integrity of manufactured components with high production rate has acted as a driving force in the development of automated production methods.For this reason, the monitoring of surface quality obtained by a manufacturing process has been extensively studied and improved in the last years
An analysis of the acoustic emission (AE) signal in frequency domain detected during the process was made with the objective of finding a feature or features from AE signal sensitive to the variations of the surface roughness measured along five polishing sessions
For the polishing conditions employed in this study, the surface roughness and the analyzed feature calculated from the frequency domain of AE signal during polishing process follow the same trend
Summary
The increasing demand for improved surface integrity of manufactured components with high production rate has acted as a driving force in the development of automated production methods.For this reason, the monitoring of surface quality obtained by a manufacturing process has been extensively studied and improved in the last years. A great effort has been made to evaluate and control on line the surface roughness obtained in finishing machining processes by the analysis of signals detected by different sensors such as dynamometer, acoustic emission, accelerometer, current/power among others [1,2,3,4,5,6,7] This is an important challenge to avoid valuable product rejects and refinishing [8,9]. Among these processes, polishing is the most common technology used in those applications in which high surface qualities, in terms of low roughness level, minimized subsurface damage and high form accuracies, are demanded. It is an essential step in optics manufacturing and in mold finishing operations [4]
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