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Abstract：
In this work, we focus on the prediction of the influence of CO2 laser parameters on the kerf properties of cut spruce wood. Laser kerf cutting is mainly characterized by the width of kerf and the width of the heat-affected zone, which depend on the laser power, cutting speed, and structure of the cut wood, represented by the number of cut annual rings. According to the measurement results and ANN prediction results, for lower values of the laser power (P) and cutting speed (v), the effect of annual rings (ARs) is non-negligible. The results of the sensitivity analysis show that the effect of v increases at higher energy density (E) values. With P in the range between 100 and 500 W, v values between 3 and 50 mm·s-1, and AR numbers between 3 and 11, the combination of P = 200 W and v = 50 mm·s-1, regardless of the AR value, leads to the best cut quality for spruce wood. In this paper, the main goal is to show how changes in the input parameters affect the characteristics of the cutting kerf and heat-affected zones for all possible input parameter values.
摘要：
在这项工作中,我们重点预测了CO2激光参数对云杉木材切缝性能的影响。激光切割的主要特点是切口的宽度和热影响区的宽度，这取决于激光功率，切削速度,和切割木材的结构，以切割年轮的数量表示。根据测量结果和人工神经网络预测结果，对于激光功率(P)和切割速度(V)的较低值，年轮（ARs）的影响是不可忽视的。敏感性分析的结果表明，在较高的能量密度（E）值下，v的影响增加。P在100和500W之间的范围内，v值在3到50mm·s-1之间，AR数在3到11之间，P=200W和v=50mm·s-1的组合，无论AR值如何，导致云杉木材的最佳切割质量。在本文中,主要目标是显示输入参数的变化如何影响所有可能的输入参数值的切割切口和热影响区的特征。
