Modeling and comparing vertical density profiles
Modeling and comparing vertical density profiles
复制标题
垂直密度剖面建模和比较
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
E. Walker
中科院分区：
文献类型：
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作者：
P. Winistorfer;T. Young;E. Walker
压制木板的垂直密度分布受制造工艺的影响，对板材最终用户很重要。模拟垂直密度分布，并进行统计比较，从不同的制造处理的轮廓是至关重要的理解和改善面板的性能。采用非参数回归分析方法对白杨定向刨花板的垂直密度分布进行了模拟。提出了一种比较垂直密度剖面曲线的方法。在608 kg/m3下制造了27个实验室面板，其中包括三个水平的配料含水量（4%，8%，12%）和三个水平的压力闭合率（20 s，60 s，100 s），在重复的实验设计中。采用三次样条非参数回归技术拟合数据，R2在0.985 ~ 0.998之间.详细讨论了非参数回归分析的方法和解释。各处理水平的垂直密度剖面曲线的统计比较表明，4%水分水平与8%和12%水分水平差异显著（P = 0.015），8%水分水平与12%水分水平差异不显著（P > 0.99）。各压密率处理的垂直密度剖面曲线差异显著（P
The vertical density profile of pressed wood panels is influenced by the manufacturing process and is important to panel end-users. Modeling the vertical density profile and making statistical comparisons among profiles resulting from different manufacturing treatments are critical to understanding and improving panel properties. Nonparametric regression analysis was used to model the vertical density profile of aspen ( Populus tremuloides ) oriented strandboard panels. A methodology is presented to compare vertical density profile curves. Twenty-seven laboratory panels were manufactured at 608 kg/m 3 incorporating three levels of furnish moisture content (4%, 8%, 12%) and three levels of press closure rate (20 s, 60 s, 100 s) in a replicated, experimental design. The nonparametric regression technique called cubic splines was used to fit the data, R 2 ranged from 0.985 to 0.998. Detailed discussion is presented that describes the method and interpretation of the nonparametric regression analysis. Statistical comparison of vertical density profile curves among treatment levels revealed that the 4% furnish moisture content level was significantly different ( P = 0.015) from the 8% and 12% levels; the 8% level was not significantly different ( P > 0.99) from the 12% level. Vertical density profile curves for all press closure rate treatments were significantly different ( P