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Adaptive control of green target sizes

机译:自适应控制绿色目标尺寸

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In Swedish sawmills,about 70% of the total costs can be derived from raw-material costs. Hence, it is very important for sawmills to obtain the highest possible yield.The green target size is an important parameter that affects the yield. The nominal size, sawing allowance, shrinkage allowance and planer allowance add up to the green target size that is needed when sawing lumber. We have, in this work, studied whether it is possible to adaptively control the green target size by measuring log density and annual ring width with an X-ray LogScanner online. Our hypothesis was that density and growth speed will affect how much every single piece of lumber will shrink. The results show that both density and annual ring width are rather weak variables for prediction of lumber shrinkage. The variable "distance to pith", i.e., where in the log cross-section a piece of lumber has been cut, has proved to be a significant variable for prediction of lumber shrinkage.The results show that the yield can be considerably improved by adapting the green target size to how far from the pith every piece of lumber is cut.
机译:在瑞典锯木厂中,大约70%的总成本可以从原料成本中得出。因此,对于锯木厂获得最高的产量非常重要。绿色目标大小是影响产量的重要参数。标称尺寸,锯切津贴,收缩余量和刨床允许加入锯木材时所需的绿色目标尺寸。在这项工作中,我们研究了是否有可能通过在线测量日志密度和年环宽度来自适应地控制绿色目标大小。我们的假设是,密度和生长速度会影响每一块木材会缩小的程度。结果表明,密度和年环宽度都是用于预测木材收缩的变量。已经被切割的变量“到佩斯的距离”,即,在日志横截面中被切割的那样,已经被切割的是,用于预测木材收缩的显着变量。结果表明,通过调整可以显着提高产量绿色目标尺寸与每块木材的脚有多远。

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