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ADVANCED ATLINE KAPPA MEASUREMENTS WITH NIR- SPECTROSCOPY FOR FIBRELINE OPTIMIZATION

机译:近红外光谱的近距离光谱测量,用于纤维优化

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With increasing worldwide competition, pulp and paper manufacturers require greater emphasis on cost reduction, increased product efficiency and quality, while minimizing environmental impact. Although the chemical recovery process plays a critical role in the economic viability of pulp mills, efficient operation of the digester is equally important to ensure excellent yield and product quality. The kappa number of pulp, or residual lignin content, estimates the extent of delignification in the cooking process and is a critical parameter for digester and bleaching processes. To optimize cooking yield and product quality, kappa number is used as a feedback parameter to automated control algorithms, allowing for adjustments to the liquor charge and time-temperature profile of the digester, as well as the bleaching chemical charge in the bleach plant. Kappa measurement has become even more critical due to greater variability in chip quality (i.e., moisture content, size distribution, and species mixtures) necessitating varying cooking conditions; thus greater demand on more frequent kappa measurements. Although many online analyzers exist for kappa measurement, at-line measurement is still required as cross-checks. Results from the application of the advanced spectroscopic technique indicate that kappa accuracy from operator-to-operator and from lab-to-lab is within ≤ 1 kappa unit. The calibration and validation results from various mill installations illustrate that residual lignin measurement using NIR spectroscopy, as per described technique, is linear from 5 kappa to 120 kappa, and is independent of wood species. Correlation coefficient (R~2) of 0.98 is obtained for wet pulp and accuracy within 0.7 kappa unit. For unbleached finished pulp sheets, accuracy is within ±0.5 kappa unit and correlation coefficient of 0.99 (R2). This paper will present the results obtained from the mill implementation and will also briefly discuss the improvements in digester operations resulting from better kappa determination, along with savings from reduced process variability. Applications in product segregation will also be discussed.
机译:随着全球竞争的加剧,纸浆和造纸制造商要求更加重视降低成本,提高产品效率和质量,同时最大程度地减少对环境的影响。尽管化学回收过程对制浆厂的经济可行性起着至关重要的作用,但蒸煮器的有效运行对于确保出色的产量和产品质量也同样重要。纸浆的卡伯值或残留的木质素含量估计蒸煮过程中的脱木质素程度,并且是蒸煮和漂白过程的关键参数。为了优化烹饪产量和产品质量,将卡伯值用作自动控制算法的反馈参数,从而可以调整蒸煮器的液体装料和时间-温度曲线,以及漂白厂中的漂白化学装料。由于木片质量的较大差异性(即水分含量,尺寸分布和种类混合物),需要改变蒸煮条件,因此卡伯值的测量变得更加关键;因此,对更频繁的Kappa测量的需求越来越大。尽管存在许多用于测量kappa的在线分析仪,但仍需要在线测量作为交叉检查。先进光谱技术的应用结果表明,操作员与操作员之间以及实验室与实验室之间的kappa精度均在≤1 kappa单位之内。来自各种工厂安装的校准和验证结果表明,按照所描述的技术,使用NIR光谱仪测量残留木质素的范围从5 kappa到120 kappa是线性的,并且与木材种类无关。湿纸浆的相关系数(R〜2)为0.98,精度在0.7 kappa单位之内。对于未漂白的成品浆板,精度在±0.5 kappa单位内,相关系数为0.99(R2)。本文将介绍从工厂实施中获得的结果,还将简要讨论由更好的卡伯测定确定的蒸煮器操作方面的改进,以及从减少的工艺可变性中节省的成本。产品隔离中的应用也将被讨论。

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