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.
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 .
