DEVELOPMENT OF A NOVEL EMPIRICAL MODEL TO ESTIMATE THE KRAFT PULP YIELD OF FAST-GROWING EUCALYPTUS

被引:0
作者
Liu, Jing [2 ]
Hu, Huichao [2 ]
Luo, Xiaolin [1 ]
机构
[1] Fujian Agr & Forestry Univ, Coll Mat Engn, Fuzhou 350002, Fujian Province, Peoples R China
[2] S China Univ Technol, State Key Lab Pulp & Paper Engn, Guangzhou 510641, Guangdong, Peoples R China
来源
BIORESOURCES | 2012年 / 7卷 / 01期
关键词
Novel empirical model; Estimation; kraft pulp yield; Fast-growing Eucalyptus; Transition point; Kappa number; Lignin content; HexA content; HEXENEURONIC ACID GROUPS; FATE; DELIGNIFICATION; CARBOHYDRATE; PREDICTION; DIGESTERS; GLOBULUS;
D O I
暂无
中图分类号
TB3 [工程材料学]; TS [轻工业、手工业、生活服务业];
学科分类号
0805 ; 080502 ; 0822 ;
摘要
In this study, several kraft pulps were produced by kraft pulping of fast-growing Eucalyptus with a wide range of cooking conditions. The dependences between pulp yields and some pulp properties, namely, kappa number, HexA contents, and cellulose viscosities, were well investigated. It was found that kraft pulp yields linearly decreased with the reduction of HexA-free kappa number in two different stages, respectively, in which a transition point of measured pulp yield of 48.7% was observed. A similar relationship between pulp yield and HexA was also found, in which the resulting transition point of HexA content was 67 mu mol/g. Moreover, the logarithm of pulp viscosity was linearly proportional to the reduction of lignin-free pulp yields. Then, a novel empirical model was successfully developed based on these findings. The parameters in this empirical model were calculated by least-squares estimation using the experimental data from active alkali values of 13.2, 14.7 and 17.8. Another data set was used to verify the effectiveness of this model in predicting the pulp yields. Finally, a good agreement (a linear regression coefficient of 90.59%) between experimental and fitting data was obtained, which indicated that the kraft pulp yield of fast-growing Eucalyptus could be accurately predicted by this novel empirical model.
引用
收藏
页码:1134 / 1144
页数:11
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