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Determination of CNC processing parameters for the best wood surface quality via artificial neural network
(Taylor and Francis Ltd., 2021)
The optimum adjustment the CNC (Computer Numerical Control) processing parameters is extremely important, especially in finishing processes such as coating, painting, and varnishing where surface quality is required. This ...
Modeling and comparison of bonding strength of impregnated wood material by using different methods: Artifıcial neural network and multiple linear regression
(Slovak Forest Products Research Inst, 2019)
In this study, the effects of vacuum time, diffusion time and pressing time on the bonding strength of Larix decidua wood impregnated with Immersol-Aqua and bonded with Klebit-303 were investigated. The vacuum time, diffusion ...
Prediction of optimum CNC cutting conditions using artificial neural network models for the best wood surface quality, low energy consumption, and time savings
(North Carolina State Univ Dept Wood & Paper Sci, 2022)
This study aimed to predict the CNC cutting conditions for the best wood surface quality, energy, and time savings using artificial neural network (ANN) models. In the CNC process, walnut, and ash wood were used as materials, ...