摘要
利用自制的热风干燥在线测试装置,对银杏果的热风干燥进行了试验研究,探讨了热风温度、热风速度及装载量对含水率、干燥速率的影响,通过响应面分析和逐步逼近法分析了热风温度、热风速度及装载量与干燥过程平均能耗、平均干燥速率、蛋白质保存率以及干燥后的感官品质之间的关系,建立了二次回归数学模型。并利用函数期望优化方法进行了多目标函数优化,确定了银杏果热风干燥的最佳工艺参数组合。结果表明,银杏果热风干燥过程中加速过程不明显,主要集中在恒速和降速的干燥阶段。其最佳工艺参数组合为:热风温度68℃、热风速度1.15 m/s、装载量15.58 kg/m2。此时平均能耗为11.86 kW.h/kg、平均干燥速率为9.77%/h、蛋白质保存率为90.30%、感官评分为8.57分。
The effects of drying temperature, material load and airflow rate on hot-air drying characteristics of the moisture content and dehydrating rate of ginkgo fruit were investigated by applying self-made hot-air drying online testing device. Drying temperature, material load and airflow rate were the influence factors, and moisture content, dehydration rate, average energy consumption of drying process, protein retention rate and sensory quality of dried ginkgo were the experimental indices, and the relationships between the experimental indices and the influence factors were analyzed through the responsesurface analysis method and sub-stepping method. The quadratic regression mathematical models that described the relations between the experimental indices and the influence factors were established. The optimal combination of technological parameters for drying materials was obtained through conducting a muhiobjective function optimization by function expected optimization. The hot air drying process of ginkgo is mainly concentrated in constant-speed phase and decelerated phase, and the optimal parameters are as follows： hot-air temperature of 68℃ , airflow rate of 1.15 m/s, and material load of 15.58 kg/m2. Under these conditions, the energy consumption is 11.86 kW. h/kg, the dehydration rate is 9.77%/h, protein retention rate is 90.30% and the sensory score is 8.57. The results can provide a theoretical basis for drying and industrialized production of ginkgo fruit.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2012年第3期140-145,156,共7页
Transactions of the Chinese Society for Agricultural Machinery
基金
四川省学术和技术带头人培养资金资助项目
关键词
银杏果
热风干燥
参数优化
数学模型
响应面分析法
Ginkgo fruit, Hot-air drying, Parameters optimization, Mathematical model, Response surface methodology
