Rodríguez Alejandro, Pérez Antonio, de la Torre María Jesús, Ramos Enrique, Jiménez Luis
Departamento de Ingeniería Química, Universidad de Córdoba (España), Spain.
Bioresour Technol. 2008 Mar;99(5):965-74. doi: 10.1016/j.biortech.2007.03.007. Epub 2007 Apr 25.
We studied the influence of the operational variables (viz. ethylene-glycol concentrations of 50-70%, temperatures of 155-185 degrees C, times of 30-90 min and numbers of PFI beating revolutions of 500-1500) on pulp yield and various paper properties (breaking length, stretch, burst index, tear index and brightness) obtained in the ethylene-glycol pulping of vine shoots, cotton stalks, leucaena (Leucaena leucocephala) and tagasaste (Chamaecytisus proliferus). The fuzzy neural network models used reproduced the experimental results with errors less than 15% and smaller than those provided by second-order polynomial models in all cases. An ethylene-glycol concentration of 65% at 180 degrees C for 75 min and 1500 PFI beating revolutions were found to provide substantial savings in energy, chemicals and facility investments as a result of operating under milder conditions than the strongest ones studied in this work. Tagasaste was found to be the most suitable raw material among those tested as it provided the paper sheets with the highest breaking length (4644 m), stretch (2.87%), burst index (2.46 kN/g), tear index (0.33 m Nm(2)/g) and brightness (40.92%); its pulp yield was also high (62.88%), which reflects efficient use of this raw material.
我们研究了操作变量（即乙二醇浓度为50 - 70%、温度为155 - 185摄氏度、时间为30 - 90分钟以及PFI打浆转数为500 - 1500）对葡萄枝条、棉秆、银合欢（Leucaena leucocephala）和银荆（Chamaecytisus proliferus）进行乙二醇制浆时的纸浆得率以及各种纸张性能（抗张强度、伸长率、耐破指数、撕裂指数和白度）的影响。所使用的模糊神经网络模型重现实验结果时的误差小于15%，且在所有情况下均小于二阶多项式模型所给出的误差。结果发现，在180摄氏度下采用65%的乙二醇浓度、75分钟以及1500次PFI打浆转数，由于操作条件比本研究中最强的条件更为温和，可在能源、化学品和设施投资方面大幅节省。在所测试的原料中，银荆被发现是最合适的，因为它所制成的纸张具有最高的抗张强度（4644米）、伸长率（2.87%）、耐破指数（2.46千牛/克）、撕裂指数（0.33毫牛·米²/克）和白度（40.92%）；其纸浆得率也很高（62.88%），这反映了该原料的高效利用。
