Abstract
During the machining of mechanical parts, structural damages such as cracks can appear on the finished surface, consequently, the measured cutting forces being perturbed. It is difficult to detect directly such damages starting from the measured signals because they are always mixed with the measuring noise. In this paper, a method based on the wavelet multiresolution analysis is applied to extract the required information relating to the existence of structural damages in a disk using the cutting force signals measured by a Kistler dynamometer during the disk machining. In order to simulate the structural damage, a longitudinal crack is voluntarily created on the cylindrical surface of the disk. Since periodic impacts are produced each time the cutting tool comes into contact with the structural damage, an optimized wavelet multiresolution analysis is used as a filtering and a denoising tool. The experimental results show the validity of this method within the detection of single and multiple defects created on the disk surface during the machining processes.
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Khechana, M., Djamaa, M.C., Djebala, A. et al. Identification of structural damage in the turning process of a disk based on the analysis of cutting force signals. Int J Adv Manuf Technol 80, 1363–1368 (2015). https://doi.org/10.1007/s00170-015-7110-6
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DOI: https://doi.org/10.1007/s00170-015-7110-6