2021
DOI: 10.15376/biores.16.4.8239-8257
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On acoustic emission analysis in circular saw cutting beech wood with respect to power consumption and surface roughness

Abstract: A sound or a noise that accompanies wood machining processes is introduced by the tool rotation itself, by the friction of moving machine parts, or by wood-tool interaction. The sounds generated during machining with a circular saw could be analysed in order to monitor and possibly control the cutting process. Applying altered cutting parameters while cutting beech wood (Fagus sylvatica L.), which is the most common wood species in the Republic of Serbia, caused acoustic emissions that could be analysed throug… Show more

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Cited by 2 publications
(4 citation statements)
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“…The curves for all three saw blades observed overlapped in this range. As previously mentioned (Svrzic et al 2023), this spectral range could be related to the noise generated by the machine itself. Since the speed was the same for all saw blades, the curves overlapped completely.…”
Section: Resultsmentioning
confidence: 85%
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“…The curves for all three saw blades observed overlapped in this range. As previously mentioned (Svrzic et al 2023), this spectral range could be related to the noise generated by the machine itself. Since the speed was the same for all saw blades, the curves overlapped completely.…”
Section: Resultsmentioning
confidence: 85%
“…This article deals with the problem of recognizing a particular saw blade, which is one of the most important aspects of manufacturing. The rotation of the saw blade produces a specific sound, also known as whistling, which is generated by the geometry of the teeth and the vibrations of the blade during machining (Aguilera 2011;Kminiak and Kubš 2015;Kvietkova et al 2015;Svrzic et al 2021Svrzic et al , 2023. Noise produced during machining of wood materials also can be a source of harm to workers and an environmental hazard (Özşahin and Singer 2022).…”
Section: Introductionmentioning
confidence: 99%
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“…The changes in the cutting tool geometry as well the tool wear degree can be also assessed according to physical criteria of wear as follows: the tool force data (Meulenberg et al 2022), vibration data (Górski et al 2019;Nasir et al 2019), acoustic emission signal (Svrzic et al 2021;Svoreň et al 2021), and temperature data (Igaz et al 2019).…”
Section: Introductionmentioning
confidence: 99%