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首页> 外文会议>2005 TAPPI engineering, pulping, environmental conference >Flow Cell Imaging Fiber Analysis, a New Way to Characterize Pulps
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Flow Cell Imaging Fiber Analysis, a New Way to Characterize Pulps

机译：流式细胞成像纤维分析，表征纸浆的新方法

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For several years industrialists and laboratories have been trying to find solutions to the challenges of pulprncharacterization. Conventional methods used in the past are based on screening or microscope inspection of pulprnsamples. Screening offers marginal precision at best with limited results. Fiber biometry gives the mainrncharacteristics of fibers but is time-consuming and tedious for the operator.rnNew optical techniques, as well as acquisition and treatment of digital images, have provided the paper industryrnwith new efficient tools to determine fiber morphology. These new methods are based on the 2 followingrnprinciples: the use a glass capillary tube system where fibers are forced in one by one and the use of a measuringrncell where fibers are feed through an open cell.rnThe capillary system allows an easy and accurate measurement of fibers but can face problems with deinkedrnpulp, long fibers or pulp with shives. The measurement cell system allows a good tolerance for pulp flow;rnhowever, typically has a lower accuracy and reliability due to the thick cell gap. The development of a new flowrncell imaging analyzer avoids these two pitfalls as well as offering other advantages, I.e. projected length insteadrnof developed length and high resolution for measurement accuracy. This new Fiber Analyzer is designed tornoffer an efficient and reliable fibers, fines and shives analyzer with the capability to develop a large amount ofrndimensional data. The data developed by this system compares well with paper physical properties such asrntensile, burst, bulk and tear.rnBecause of the amount of data developed by modern fiber analyzers is so large a way to easily evaluate this datarnneeded to be developed. A statistical analysis tool has been introduced to the market that can take all therndimensional characteristics for a pulp and quickly compare this information to a developed data base torndetermine if this pulp would fit a particular use. The StatMorFi system does this.rnThis paper includes four sections. The first section gives a technical description of the fiber imaging sensor andrnexamines its advantages and limitations. The second section explores the results obtained with this sensor forrnbasic fiber analysis and shive measurement. The third section looks at a comparison between fiber morphologyrnand physical characteristics. The fourth section reviews a statistical tool to evaluate fiber analysis results.
机译：几年来，工业家和实验室一直在努力寻找解决制浆特性化挑战的解决方案。过去使用的常规方法基于纸浆样品的筛选或显微镜检查。筛选最多只能提供有限的精度，而效果有限。纤维生物特征学提供了纤维的主要特征，但对操作员而言既费时又繁琐。新的光学技术以及数字图像的采集和处理为造纸工业提供了确定纤维形态的新有效工具。这些新方法基于以下2种原理：使用玻璃毛细管系统将纤维一一压入，以及使用测量室将纤维通过开孔进​​料。毛细管系统可轻松准确地测量纤维纤维，但可能会遇到脱墨浆，长纤维或带有碎屑的纸浆的问题。测量单元系统允许对纸浆流具有良好的公差；但是，由于单元间隙较厚，通常精度和可靠性较低。新的流通池成像分析仪的开发避免了这两个陷阱，并提供了其他优势，即投影长度诺尔诺夫开发了长度和高分辨率的测量精度。这种新型的光纤分析仪旨在提供高效，可靠的纤维，细粉和碎屑分析仪，并具有开发大量三维数据的能力。该系统开发的数据与纸张的物理性能（如拉伸，破裂，膨松和撕裂）具有很好的对比。由于现代纤维分析仪开发的数据量很大，因此可以轻松评估需要开发的数据。统计分析工具已投放市场，该工具可以获取纸浆的所有尺寸特征，并将此信息与已开发的数据库进行快速比较，以确定该纸浆是否适合特定用途。 StatMorFi系统可以做到这一点。本文包括四个部分。第一部分给出了光纤成像传感器的技术说明，并对其优点和局限性进行了研究。第二部分探讨了使用该传感器进行的基础纤维分析和切碎测量的结果。第三部分比较了纤维形态和物理特性。第四部分回顾了评估纤维分析结果的统计工具。

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