2018
DOI: 10.1007/s00170-018-2513-9
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Evaluation of grinding wheel loading phenomena by using acoustic emission signals

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Cited by 14 publications
(13 citation statements)
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“…During the final stage of grinding, the AE signal gradually becomes smaller, because the detached chips more easily accumulate onto the grinding wheel surface, and the grinding ability declines gradually. This phenomenon agrees with the experimental results of the traditional flat surface-grinding machine tool presented in [13]. From the experimental results, the AE signals can be divided into two sub-stages in the final stage of grinding.…”
Section: Ae Signalssupporting
confidence: 89%
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“…During the final stage of grinding, the AE signal gradually becomes smaller, because the detached chips more easily accumulate onto the grinding wheel surface, and the grinding ability declines gradually. This phenomenon agrees with the experimental results of the traditional flat surface-grinding machine tool presented in [13]. From the experimental results, the AE signals can be divided into two sub-stages in the final stage of grinding.…”
Section: Ae Signalssupporting
confidence: 89%
“…Having done so, a simple morphological operation followed by a particle filtering procedure is performed to remove any noise and segment the metal loading debris from the overlapped image, as shown in Figure 7f. It is noted that Ko et al (2013) and Liu et al (2013Liu et al ( , 2018 provide a more comprehensive description of the morphology processing [13,46,47]. From the comparison of Figure 7a,f it proves that the proposed offline digital image processing technique is workable and it can reliably segment the metal loading debris from the original captured image.…”
Section: Proposed Digital Image Processing Technique and Wheel Loadingmentioning
confidence: 73%
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