Abstract
The goal of this study was to develop a model to predict sanding conditions of different type of materials such as Lebnon cedar (Cedrus libani) and European Black pine (Pinus nigra). Specimens were prepared using different values of grit size, cutting speed, feed rate, and sanding direction. Surface quality values of specimens were measured employing a laser- based robotic measurement system and stylus type measurement equipment. Full factorial design based Analysis of Variance was applied to determine the effective factors. These factors were used to develop the Artificial Neural Networks models for two different measurement systems. The MATLAB Neural Network Toolbox was used to predict the Artificial Neural Networks models. According to the results, the Artificial Neural Networks models were performed using Mean Absolute Percentage Error and R-square values. Mean Absolute Percentage Error values for laser and stylus equipment were found as 2.405 % and 3.766 %, respectively. R-square values were determined as 96.2% and 92.7 % for laser and stylus measurement equipment, respectively. These results showed that the proposed models can be successfully used to predict the surface roughness values.
Highlights
Sanding process is applied in different wood manufacturing applications
The surface roughness is the major indicator of wood surface quality
The grit size, feed rate, cutting speed, sanding direction and material type were the effective factor on the roughness for two measurement equipment
Summary
Sanding process is applied in different wood manufacturing applications. In furniture industry, this process presents some advantages such as low surface roughness, high productivity, appearance of wood products and high wood coating performance (Richter et al 1995, Cool and Hernandez 2011, Scrinzi et al 2011, Landry and Blanchet 2012, Hiziroglu et al 2014, Gurau et al 2015, Ugulino and Hernandez 2016, Sogutlu et al 2016). The surface roughness is the major indicator of wood surface quality. It is mainly a result of various controllable or uncontrollable sanding parameters. Laser measurement system provides crucial advantages such as measuring the complex surface structures with non-contact equipment, decreasing the time consumption, gathering more data from
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