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Preparation for industrial pellet production from blends of eucalyptus sawdust and hydrolysis lignin: the optimal variable combinations of co-pelletization

机译:从桉树锯末和水解木质素的混合物制备工业颗粒生产:共造粒的最佳变量组合

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The technology of co-pelletization was adopted to improve the performance of eucalyptus sawdust pellets, and hydrolysis lignin was treated as an effective binder. The main objective of this work was to obtain the optimal variable combinations of co-pelletization for preparation of industrial production. Response surface methodology using a central composite design with five-factor and five-level was employed to design and obtain the optimal variable combinations. Single pellet-making experiments were carried out using a uniaxial piston-cylinder densification apparatus. The effect of variables on responses was analyzed in detail. The selected optimal models for responses are all modified quadratic expressed in the form of regression equations. By setting the desired values of the responses, the optimized variable combinations are 26% hydrolysis lignin adding amount, 11% moisture content, 107-degrees C temperature, 5500-N pressure, and 3-mm particle size. The validation experiments were performed using the same apparatus according to the optimal variable combinations, and the response values are 24.83 kJ kg(-1) for specific energy consumption, 1048.91 kg m(-3) for relaxed density, and 31.44 N mm(-2) for Meyer hardness. The relative percentage errors between the response predicted values and validation experiment results are all less than 10%.
机译:采用共造粒技术来改善桉树锯末颗粒的性能,水解木质素被视为有效粘合剂。这项工作的主要目标是获得用于制备工业生产的共造粒的最佳变量组合。采用具有五因素和五级的中央复合设计的响应面方法,用于设计并获得最佳变量组合。使用单轴活塞 - 缸致密化装置进行单颗粒制作实验。详细分析了变量对响应的影响。响应的所选择的最佳模型是以回归方程的形式进行修改的二次表达。通过设定所需的响应值,优化的可变组合是26%水解木质素加油量,含水量为11%,水分含量,107℃,5500-n压力和3mm粒度。根据最佳变量组合使用相同的装置进行验证实验,并且对于特定能量消耗,响应值是24.83kJ kg(-1),1048.91 kg m(-3),用于缓和密度,31.44 n mm( - 2)对于迈耶的硬度。响应预测值与验证实验结果之间的相对百分比误差均小于10%。

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