Version 1
: Received: 2 September 2024 / Approved: 3 September 2024 / Online: 4 September 2024 (04:45:04 CEST)
How to cite:
Koleda, P.; Čuchor, T.; Koleda, P.; Rajko, Ľ. Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy. Preprints2024, 2024090200. https://doi.org/10.20944/preprints202409.0200.v1
Koleda, P.; Čuchor, T.; Koleda, P.; Rajko, Ľ. Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy. Preprints 2024, 2024090200. https://doi.org/10.20944/preprints202409.0200.v1
Koleda, P.; Čuchor, T.; Koleda, P.; Rajko, Ľ. Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy. Preprints2024, 2024090200. https://doi.org/10.20944/preprints202409.0200.v1
APA Style
Koleda, P., Čuchor, T., Koleda, P., & Rajko, Ľ. (2024). Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy. Preprints. https://doi.org/10.20944/preprints202409.0200.v1
Chicago/Turabian Style
Koleda, P., Pavol Koleda and Ľubomír Rajko. 2024 "Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy" Preprints. https://doi.org/10.20944/preprints202409.0200.v1
Abstract
The article is focused mainly on verifying the suitability of data from experimental milling heat-treated beech wood and on investigation of the effect of technical and technological parameters of milling on the energy consumption of this process. The independent parameters of machining process are cutting speed, feed speed, rake angle, and hydrothermal modification of experimental wood material. Based on analysis of variance it can be argued that the greatest statistically significant effect on energy consumption have cutting speed and rake angle of the tool while the feed speed had the least influence. The measured data of cutting power during milling were used to build a regression model and validate it, while the most suitable type of model with correlation of 87 % is Classification and Regression Tree followed by model created by Random Forests method.
Keywords
milling; heat-treated wood; energy consumption; regression model
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
