【作者】 仇敏； 藏占锋； 邵伟；

【Author】 QIU Min1 , ZHANG Zhan-feng2 , SHAO Wei1 (1. College of Chemistry and Life Science, Three Gorges University, Yichang 443001 2. Henan Nanjiecu Group, Linying 462600)

【机构】 三峡大学化学与生命科学学院； 河南南街村集团；

【摘要】 在酵母抽提物干燥过程中,利用神经网络建立干燥参数与能耗之间的对应关系,并通过遗传算法得到酵母抽提物干燥的最佳工艺:浓缩液温度79℃、入口空气温度177℃及浓缩液流加速度59mL/min,在该条件下酵母抽提物喷雾干燥所消耗能量仅需0.77kwh/L。更多还原

【Abstract】 During the drying yeast extracts, the relationship of the drying parameters and the consumed energy was set up by BP neural network, the optimum conditions were obtained by GA, they were as follows: temperature of yeast extracts concentrate liquid 79 ℃ , temperature of entrance hot air 177 ℃ and add rate of yeast extracts concentrate liquid 59 mL/min, under these conditions, the consumed energy for drying yeast extracts was 0.77 kwh/L only.更多还原