TY  - JOUR
AU  - Svrzić, Srđan
AU  - Đurković, Marija
AU  - Danon, Gradimir
AU  - Furtula, Mladen
AU  - Stanojević, Damjan
PY  - 2021
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1188
AB  - 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 throughout corresponding spectra. As shown in previous studies, altering the cutting parameters, e.g., the feed speed and tool override, resulted in variations in power consumption, surface roughness, and acoustic emission (or acoustic pressure). The aim of this paper was to provide a possible correlation between the applied cutting parameters and the acoustic emission spectra with respect to consumed power and the state of the machined surface. Along with acoustic emissions, the power consumption and surface roughness data were also acquired in order to make a possible relationship. By associating the idle circular saw acoustic spectra with background noise and comparing them with those obtained during machining, it was possible to indicate spectrum areas of particular interest for further analysis.
T2  - BioResources
T1  - On Acoustic Emission Analysis in Circular Saw Cutting Beech Wood with Respect to Power Consumption and Surface Roughness
EP  - 8257
IS  - 4
SP  - 8239
VL  - 16
DO  - 10.15376/biores.16.4.8239-8257
UR  - conv_1613
ER  - 

@article{
author = "Svrzić, Srđan and Đurković, Marija and Danon, Gradimir and Furtula, Mladen and Stanojević, Damjan",
year = "2021",
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 throughout corresponding spectra. As shown in previous studies, altering the cutting parameters, e.g., the feed speed and tool override, resulted in variations in power consumption, surface roughness, and acoustic emission (or acoustic pressure). The aim of this paper was to provide a possible correlation between the applied cutting parameters and the acoustic emission spectra with respect to consumed power and the state of the machined surface. Along with acoustic emissions, the power consumption and surface roughness data were also acquired in order to make a possible relationship. By associating the idle circular saw acoustic spectra with background noise and comparing them with those obtained during machining, it was possible to indicate spectrum areas of particular interest for further analysis.",
journal = "BioResources",
title = "On Acoustic Emission Analysis in Circular Saw Cutting Beech Wood with Respect to Power Consumption and Surface Roughness",
pages = "8257-8239",
number = "4",
volume = "16",
doi = "10.15376/biores.16.4.8239-8257",
url = "conv_1613"
}

Svrzić, S., Đurković, M., Danon, G., Furtula, M.,& Stanojević, D.. (2021). On Acoustic Emission Analysis in Circular Saw Cutting Beech Wood with Respect to Power Consumption and Surface Roughness. in BioResources, 16(4), 8239-8257.
https://doi.org/10.15376/biores.16.4.8239-8257
conv_1613

Svrzić S, Đurković M, Danon G, Furtula M, Stanojević D. On Acoustic Emission Analysis in Circular Saw Cutting Beech Wood with Respect to Power Consumption and Surface Roughness. in BioResources. 2021;16(4):8239-8257.
doi:10.15376/biores.16.4.8239-8257
conv_1613 .

Svrzić, Srđan, Đurković, Marija, Danon, Gradimir, Furtula, Mladen, Stanojević, Damjan, "On Acoustic Emission Analysis in Circular Saw Cutting Beech Wood with Respect to Power Consumption and Surface Roughness" in BioResources, 16, no. 4 (2021):8239-8257,
https://doi.org/10.15376/biores.16.4.8239-8257 .,
conv_1613 .

TY  - JOUR
AU  - Stanojević, Damjan
AU  - Đurković, Marija
AU  - Danon, Gradimir
AU  - Svrzić, Srđan
PY  - 2017
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/883
AB  - The surface quality of solid wood is very important for its effective response in manufacturing processes. The effects of feed rate, cutting depth and rake angle on surface roughness and power consumption were investigated and modeled. Neuro-fuzzy methodology was applied and shown that it could be useful, reliable and an effective tool for modeling the surface roughness of wood. Thus, the results of the present research can be successfully applied in the wood industry to reduce time, energy and high experimental costs.
T2  - Journal of Forestry Research
T1  - Prediction of the surface roughness of wood for machining
EP  - 1283
IS  - 6
SP  - 1281
VL  - 28
DO  - 10.1007/s11676-017-0401-z
UR  - conv_1310
ER  - 

@article{
author = "Stanojević, Damjan and Đurković, Marija and Danon, Gradimir and Svrzić, Srđan",
year = "2017",
abstract = "The surface quality of solid wood is very important for its effective response in manufacturing processes. The effects of feed rate, cutting depth and rake angle on surface roughness and power consumption were investigated and modeled. Neuro-fuzzy methodology was applied and shown that it could be useful, reliable and an effective tool for modeling the surface roughness of wood. Thus, the results of the present research can be successfully applied in the wood industry to reduce time, energy and high experimental costs.",
journal = "Journal of Forestry Research",
title = "Prediction of the surface roughness of wood for machining",
pages = "1283-1281",
number = "6",
volume = "28",
doi = "10.1007/s11676-017-0401-z",
url = "conv_1310"
}

Stanojević, D., Đurković, M., Danon, G.,& Svrzić, S.. (2017). Prediction of the surface roughness of wood for machining. in Journal of Forestry Research, 28(6), 1281-1283.
https://doi.org/10.1007/s11676-017-0401-z
conv_1310

Stanojević D, Đurković M, Danon G, Svrzić S. Prediction of the surface roughness of wood for machining. in Journal of Forestry Research. 2017;28(6):1281-1283.
doi:10.1007/s11676-017-0401-z
conv_1310 .

Stanojević, Damjan, Đurković, Marija, Danon, Gradimir, Svrzić, Srđan, "Prediction of the surface roughness of wood for machining" in Journal of Forestry Research, 28, no. 6 (2017):1281-1283,
https://doi.org/10.1007/s11676-017-0401-z .,
conv_1310 .