机械纸浆中纤维粘结能力分布的测定

December 2008 Pub Date : 2009-01-01 DOI:10.32964/tj7.12.26
S. Reyier, O. Ferritsius, O. Shagaev
{"title":"机械纸浆中纤维粘结能力分布的测定","authors":"S. Reyier, O. Ferritsius, O. Shagaev","doi":"10.32964/tj7.12.26","DOIUrl":null,"url":null,"abstract":"Currently, the pulp and paper industry mainly uses average values of mechanical pulp properties to characterize fibers, while printing paper grammages keep decreasing, making every fiber more important for strength, surface, and structure properties. Because fibers are inhomogeneous, average values of the whole pulp may not be enough for proper fiber characterization. This paper reports results from the development of a method to measure the distribution of fiber bonding ability in mechanical pulps.\n Fibers from two commercial TMPs were fractionated into five hydrocyclone streams, using a four-stage hydrocy-clone system. The fiber bonding ability of Bauer McNett fractions R16, P16/R30 and P30/R50 collected from each stream was analyzed. Five different methods of evaluating fiber bonding ability all showed that fibers were separat-ed in the hydrocyclones according to their bonding ability. \n Long fiber handsheets of the highest bonding fibers had up to 2.5 times higher tensile strength for the P16/R30 fraction than handsheets from the lowest bonding fibers. We also found that both the degree of fibrillation and col-lapse resistance index (CRI) of the fibers obtained from optical measurements are sufficient to predict quite accu-rately the tensile strength of handsheets made from fiber fractions. Further, we propose how to describe the distri-bution in fiber bonding ability for mechanical pulps, by combining some of these five different methods. A method to calculate fracture toughness of long fiber handsheets based on acoustic emission is also illustrated. \n A more rapid way to characterize fibers in mechanical pulps with respect to their bonding ability distribution needs to be developed in the future. It appears that it is time to move on from characterizing pulp suspensions and handsheet properties using conventional approaches based on average values.","PeriodicalId":308567,"journal":{"name":"December 2008","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Measuring the Bonding Ability Distribution of Fibers in Mechanical Pulps\",\"authors\":\"S. Reyier, O. Ferritsius, O. Shagaev\",\"doi\":\"10.32964/tj7.12.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, the pulp and paper industry mainly uses average values of mechanical pulp properties to characterize fibers, while printing paper grammages keep decreasing, making every fiber more important for strength, surface, and structure properties. Because fibers are inhomogeneous, average values of the whole pulp may not be enough for proper fiber characterization. This paper reports results from the development of a method to measure the distribution of fiber bonding ability in mechanical pulps.\\n Fibers from two commercial TMPs were fractionated into five hydrocyclone streams, using a four-stage hydrocy-clone system. The fiber bonding ability of Bauer McNett fractions R16, P16/R30 and P30/R50 collected from each stream was analyzed. Five different methods of evaluating fiber bonding ability all showed that fibers were separat-ed in the hydrocyclones according to their bonding ability. \\n Long fiber handsheets of the highest bonding fibers had up to 2.5 times higher tensile strength for the P16/R30 fraction than handsheets from the lowest bonding fibers. We also found that both the degree of fibrillation and col-lapse resistance index (CRI) of the fibers obtained from optical measurements are sufficient to predict quite accu-rately the tensile strength of handsheets made from fiber fractions. Further, we propose how to describe the distri-bution in fiber bonding ability for mechanical pulps, by combining some of these five different methods. A method to calculate fracture toughness of long fiber handsheets based on acoustic emission is also illustrated. \\n A more rapid way to characterize fibers in mechanical pulps with respect to their bonding ability distribution needs to be developed in the future. It appears that it is time to move on from characterizing pulp suspensions and handsheet properties using conventional approaches based on average values.\",\"PeriodicalId\":308567,\"journal\":{\"name\":\"December 2008\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"December 2008\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32964/tj7.12.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"December 2008","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32964/tj7.12.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

目前,制浆造纸工业主要使用机械纸浆性能的平均值来表征纤维,而印刷纸克数不断减少,使得每一种纤维的强度、表面和结构性能变得更加重要。由于纤维是不均匀的,整个纸浆的平均值可能不足以进行适当的纤维表征。本文报告了一种测量机械纸浆中纤维粘合能力分布的方法的发展结果。使用四级水力克隆系统,将来自两个商业tmp的纤维分馏到五个水力旋流器流中。分析了各流提取的Bauer McNett馏分R16、P16/R30和P30/R50的纤维结合能力。五种不同的纤维结合能力评价方法均表明,纤维在旋流器中的分离是根据纤维的结合能力进行的。对于P16/R30组分,高粘合纤维制成的长纤维手板的抗拉强度比低粘合纤维制成的手板高2.5倍。我们还发现,从光学测量中获得的纤维的纤颤程度和抗塌指数(CRI)足以相当准确地预测由纤维组分制成的手纸的抗拉强度。此外,我们提出了如何通过结合这五种不同的方法来描述机械纸浆纤维粘合能力的分布。提出了一种基于声发射的长纤维手纸断裂韧性计算方法。未来需要开发一种更快速的方法来表征机械纸浆中纤维的结合能力分布。看来,现在是时候继续使用基于平均值的传统方法来表征纸浆悬浮液和手抄纸的特性了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring the Bonding Ability Distribution of Fibers in Mechanical Pulps
Currently, the pulp and paper industry mainly uses average values of mechanical pulp properties to characterize fibers, while printing paper grammages keep decreasing, making every fiber more important for strength, surface, and structure properties. Because fibers are inhomogeneous, average values of the whole pulp may not be enough for proper fiber characterization. This paper reports results from the development of a method to measure the distribution of fiber bonding ability in mechanical pulps. Fibers from two commercial TMPs were fractionated into five hydrocyclone streams, using a four-stage hydrocy-clone system. The fiber bonding ability of Bauer McNett fractions R16, P16/R30 and P30/R50 collected from each stream was analyzed. Five different methods of evaluating fiber bonding ability all showed that fibers were separat-ed in the hydrocyclones according to their bonding ability. Long fiber handsheets of the highest bonding fibers had up to 2.5 times higher tensile strength for the P16/R30 fraction than handsheets from the lowest bonding fibers. We also found that both the degree of fibrillation and col-lapse resistance index (CRI) of the fibers obtained from optical measurements are sufficient to predict quite accu-rately the tensile strength of handsheets made from fiber fractions. Further, we propose how to describe the distri-bution in fiber bonding ability for mechanical pulps, by combining some of these five different methods. A method to calculate fracture toughness of long fiber handsheets based on acoustic emission is also illustrated. A more rapid way to characterize fibers in mechanical pulps with respect to their bonding ability distribution needs to be developed in the future. It appears that it is time to move on from characterizing pulp suspensions and handsheet properties using conventional approaches based on average values.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信