Enhancing the tribological performance of tool steels for wood-processing applications: A comprehensive review

M Muhammed, M Javidani, M Heidari, M Jahazi - Metals, 2023 - mdpi.com
The stochastic nature of tool wear during wood machining, owing to the dynamic properties
of the biological material and its dependence on various factors, has raised significant …

A comprehensive investigation on the influences of optimal CNC wood machining variables on surface quality and process time using GMDH neural network and …

F Rabiei, S Yaghoubi - Materials Today Communications, 2023 - Elsevier
The present research work is concerned with the effects of machining parameters on the
quality and economical aspects of wooden product. Process variables include depth of cut …

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

EA Ayyıldız, M Ayyıldız, F Kara - Advances in Materials Science …, 2021 - Wiley Online Library
This study focuses on the examination of the effect of cutting parameters on surface
roughness when drilling medium‐density fiberboard (MDF) with a parallel robot. Taguchi …

Optimization of wood machining parameters using artificial neural network in CNC router

A Cakmak, A Malkocoglu… - Materials Science and …, 2023 - journals.sagepub.com
This study aims to determine the optimal CNC (Computer Numerical Control) machining
conditions using an artificial neural network. For this purpose, Fagus orientalis, Castanea …

Granulometric characterization of wood dust emission from CNC machining of natural wood and medium density fiberboard

R Kminiak, M Kučerka, L Kristak, R Reh, P Antov… - Forests, 2021 - mdpi.com
The aim of this paper was to determine the particle size composition of wood dust emission
from CNC milling of natural wood and medium-density fiberboard (MDF) and evaluate the …

[HTML][HTML] Prediction of surface roughness of CO2 laser modified poplar wood via response surface methodology

R Li, C He, W Xu, XA Wang - Maderas. Ciencia y tecnología, 2022 - SciELO Chile
Due to the advantages of short treatment period, no wastewater and oil produced, the CO 2
laser is applied as an environment friendly thermal treatment for wood materials to improve …

[PDF][PDF] Effects of CNC processing parameters on surface quality of wood-based panels used in furniture industry

A Demir, EO Cakiroglu, I Aydin - Drv. Ind, 2022 - academia.edu
The processing of wood-based panels such as plywood, particleboard and fiberboard,
which are widely used in the furniture industry, with CNC (Computer Numerical Control) …

Determination of CNC processing parameters for the best wood surface quality via artificial neural network

A Demir, EO Cakiroglu, I Aydin - Wood Material Science & …, 2022 - Taylor & Francis
The optimum adjustment the CNC (Computer Numerical Control) processing parameters is
extremely important, especially in finishing processes such as coating, painting, and …

A study on the beech wood machining parameters optimization using response surface methodology

S Pakzad, S Pedrammehr, M Hejazian - Axioms, 2022 - mdpi.com
The surface quality of wooden products is of great importance to production industries. The
best surface quality requires a thorough understanding of the cutting parameters' effects on …

[PDF][PDF] Prediction of optimum CNC cutting conditions using artificial neural network models for the best wood surface quality, low energy consumption, and time …

EO Çakıroğlu, A Demir, İ Aydın, Ü Büyüksarı - BioResources, 2022 - academia.edu
The furniture industry is a sector in which solid wood and wood-based panels are consumed
in very high quantities to supply a fast-growing market worldwide. In particular, with the use …