عنوان مجله
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Arabian Journal for Science and Engineering
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چکیده
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In this paper, the effect of tempering on crack
propagation and fracture mechanism of a cold-work tool
steel is investigated. Acoustic emission (AE) monitoring with
fuzzy C-means (FCM) clustering was developed in order
to detect the different fracture mechanisms during fracture
toughness tests of specimens tempered at 5 different temperatures
from 0 to 575 ◦C. The obtained AE signals were
analyzed by considering AE parameters such as amplitude,
count, frequency, energy, and classified using FCM. Scanning
electron microscopy (SEM) observation was also used
to determine the different fracture mechanisms. The results
show that the AE characteristics and FCM classification are
efficient tools in the analysis of AE signals to detect fracture
mechanism, and there is a good agreement with the results
of these tools and microscopic observation by SEM.
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