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首页> 外文期刊>Wood and Fiber Science >EMPIRICAL DISTRIBUTION MODELS FOR SLENDERNESS AND ASPECT RATIOS OF CORE PARTICLES OF PARTICULATE WOOD COMPOSITES
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EMPIRICAL DISTRIBUTION MODELS FOR SLENDERNESS AND ASPECT RATIOS OF CORE PARTICLES OF PARTICULATE WOOD COMPOSITES

机译：颗粒状木材复合材料核心颗粒的长宽比和宽高比的经验分布模型

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Particle geometry was characterized for particleboard furnish prepared through hydrolysis of finished commercial particleboard procured from six Canadian plants. Particles samples were screened into seven particle size classes. Particles retained on 0.5-mm mesh were considered core particles and further partitioned into core-fine, medium, and coarse. Individual particles were then randomly selected for geometrical characterization and distribution fitting. About 80% of all screened particles by masswere between mesh sizes of 0.5 and 2 mm. There were significant differences in percentage screen masses of all particle sizes between plants. Masses of particle size greater than 1 mm of panels from two plants were significantly higher than the rest (0.05 alpha-level), whereas another plant had the highest mass of particle sizes retained on the 2-mm mesh. Particles retained on the 1-mm mesh showed the largest percentage mass variation among all plants. It was found that aspect ratio was a better geometrical indicator for predicting screw withdrawal resistance than any of the absolute dimensions, and increase in core-fine particles increases internal bond strength. Based on maximum likelihood and Akaike's Information Criterion, a log normal distributionwas the best fit for all geometrical descriptors of most particle types; gamma and two-parameter Weibull were better fits for length and aspect ratio for most medium particles with gamma being the better of the two.
机译：对通过从六家加拿大工厂采购的成品商业刨花板进行水解而制得的刨花板配料，对其颗粒几何形状进行了表征。将颗粒样品筛分为七个粒径等级。保留在0.5毫米筛孔上的颗粒被视为核心颗粒，并进一步分为细颗粒，中颗粒和粗颗粒。然后随机选择单个颗粒进行几何表征和分布拟合。按质量计算，所有筛分颗粒的约80％在0.5到2 mm的筛孔之间。植物之间所有颗粒尺寸的筛分质量百分比存在显着差异。来自两个工厂的面板的粒径大于1 mm的质量明显高于其余植物（0.05 alpha水平），而另一个工厂的2 mm筛网上保留的粒径最大。保留在1毫米筛网上的颗粒在所有植物中显示出最大的质量百分比变化。已经发现，纵横比是比任何绝对尺寸更好的用于预测螺杆抗拔性的几何指标，并且核-细颗粒的增加会提高内部粘结强度。根据最大似然和Akaike的信息准则，对数正态分布最适合大多数粒子类型的所有几何描述子。对于大多数中等粒子，γ和两参数Weibull更适合长度和长宽比，其中γ更好。

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