Simulated and realised industrial yields in sawing of maritime pine (Pinus pinaster Ait.)

Conicity and Yield for Lumber From Commercial Species From the Amazon

“…Computational simulations of log cutting have been tested for specific variables and scenarios, as well as for different species, and the results have shown the importance of this technique for the optimization of the industrial process of log sawing methods and maximization of yield (Buehlmann and Thomas, 2001;Ikonen et al, 2003;Moberg and Nordmark, 2006;Pinto et al, 2006;Knapic et al, 2011;Berglund et al, 2013;Fredriksson et al, 2015;Stängle et al, 2015;Wery et al, 2018).…”

“…Furthermore, modeling and computational simulation of cuts allows for the generation of information that can serve as a base for economic and financial analyses of the lumber processing operation (Biasi and Rocha 2007). In spite of being a technique that has been evaluated and used in a large diversity of scenarios for many years (Richards, 1973;Hallock et al, 1976;Todoroki, 1994;Pinto et al, 2006;Knapic et al, 2011;Fredriksson et al, 2015), for tropical species this technique has rarely been employed (Ah Shenga et al, 2015;, especially for species from Amazonian forests. Therefore, studies that can indicate the potential for use of this technique in Amazonian sawmills are essential.…”

Predicting lumber grade and by-product yields for Scots pine trees

“…Each stem was sawn into 25 mm thick flitches to allow 3D reconstruction only, these sawings did not provide information of the product yields of the stems. Based on image analysis of flitch surfaces, the three-dimensional structure of the stems, including the description of external shape, internal knots, other possible defects and heartwood core, was mathematically reconstructed (Pinto et al, 2003(Pinto et al, , 2006. Information from the Stem bank Data has been used in previous studies to assess different aspects of the quality of pine.…”

“…The virtual stems as well as the mathematically reconstructed real stems from the Stem Data Bank were used as an input to the WoodCim sawing simulation system (Pinto et al, 2006). WoodCim is an integrated optimization software which predicts sawn timber, by product and component output in volumes and values depending on characteristics of the raw material and production variables.…”

“…The second data set, derived from the analyses of real stems, was selected from the Stem Data Bank collected by the Technical Research Centre of Finland (VTT). Both the virtual stems predicted by the PipeQual simulator and the real stems from the Stem Data Bank were used as an input to the integrated wood conversion simulation system, WoodCim (Pinto et al, 2006) to enable the virtual sawing of individual logs and prediction of grade distribution of sawn timber and by-product yields.…”