...
首页> 外文期刊>Journal of Materials Science >An analytical model for number of fibre-fibre contacts in paper and expressions for relative bonded area (RBA)
【24h】

An analytical model for number of fibre-fibre contacts in paper and expressions for relative bonded area (RBA)

机译:纸中纤维接触数的分析模型和相对结合面积(RBA)的表达式

获取原文
获取原文并翻译 | 示例
           

摘要

This paper proposes an analytical model for calculating the number of fibre-fibre contacts per unit fibre length from the cross-sectional dimensions of the fibres in a sheet and sheet density. This model has been verified with data of the number of fibre-fibre contacts measured directly in handsheets. The measured fibre-fibre contacts in the handsheets were classified into full and partial contacts. The model best fits this data when 1.5 partial contacts are equated to one full contact. A plot of measured versus predicted equivalent full contacts produced a linear correlation with a slope of 0.99 and correlation coefficient of R-2 = 0.93. The model was used to derive expressions for the fraction of the available fibre surface, which is bonded to other fibres, a quantity called the Relative Bonded Area (RBA). The validity of the model was checked using experimental data for RBA. RBA was determined both by nitrogen adsorption (RBA(N2)) and by scattering coefficient (RBA(sc)). The extrapolation method of Ingmanson and Thode to determine S-0, the scattering coefficient of an unbonded sheet, proved to be inaccurate. We estimated S-0 for some samples from their linear relationship between scattering coefficient and nitrogen adsorption. The new model accurately predicted both RBA(N2) and RBA(sc).
机译:本文提出了一种分析模型,用于根据纸中纤维的横截面尺寸和纸密度来计算每单位纤维长度的光纤接触数。此模型已通过直接在手抄纸中测量的光纤接触数数据进行了验证。在手抄纸中测得的纤维接触被分为完全接触和部分接触。当1.5个局部触点等于一个完整触点时,该模型最适合此数据。测得的与预测的等效全接触的关系图产生了线性相关性,其斜率为0.99,相关系数为R-2 = 0.93。该模型用于导出可用纤维表面与其他纤维粘合的分数的表达式,该数量称为相对粘合面积(RBA)。使用RBA的实验数据检查了模型的有效性。 RBA由氮吸附(RBA(N2))和散射系数(RBA(sc))确定。用Ingmanson和Thode的外推法来确定S-0(未粘结薄片的散射系数)是不准确的。我们根据散射系数与氮吸附之间的线性关系估算了一些样品的S-0。新模型可以准确预测RBA(N2)和RBA(sc)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号