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作 者:孙铜生[1] 吴慧栋 王金志 凌方庆 Sun Tongsheng;Wu Huidong;Wang Jinzhi;Ling Fangqing(School of Mechanical Engineering,Anhui Polytechnic University,Wuhu 241000)
出 处:《中国粮油学报》2022年第9期231-239,共9页Journal of the Chinese Cereals and Oils Association
基 金:安徽高校自然科学研究项目重大项目(KJ2020ZD38)。
摘 要:为探究大豆的微波真空干燥的最佳工艺条件,测试了不同的单次干燥时间、缓苏时间、缓苏次数下大豆干燥后含水率与爆腰率,提出了一种基于改进粒子群算法的参数寻优方法,新建次空间,主次空间交换精英个体,借助多元回归数学模型对实验参数进行粒子寻优。结果表明:简单地增加缓苏时间与缓苏次数并不一定利于提高大豆干燥效果,不同缓苏条件相互影响,大豆在单次干燥35 min、缓苏50 min、缓苏3次时干燥效率最高;在单次干燥35 min、缓苏40 min、缓苏3次时爆腰率最小。实验证实了采用改进粒子群算法优化参数干燥后大豆的爆腰率和含水率均低于正交实验优化的结果。研究结果对于提高大豆干燥效率和品质具有一定意义,并为微波真空干燥产业化应用及大豆深加工提供参考。In order to find the best process conditions for microwave vacuum drying of soybeans,the moisture content and fissure rate of soybeans after drying were tested under different single drying time,tempering time and tempering times.A parameter optimization method based on improved particle swarm optimization algorithm was proposed.Secondary space was built.Primary and secondary space exchanged elite individuals.With the help of multiple regression mathematical model,the particle optimization of experimental parameters was carried out.The result indicated that,simply increasing the time ortimes of tempering did not necessarily improve the drying effect of soybean,and different tempering conditions affected each other.The drying efficiency of soybean was the highest when the single drying time was 35 min,the tempering time was 50 min,and the tempering times was 3.The fissure ratio was the lowest when the drying time was 35 min,the tempering time was 40 min,and the tempering times was 3.Experimental results indicated that,the fissure ratio and moisture content of dried soybean optimized by improved particle swarm algorithm were lower than those optimized by orthogonal experiment.The research results had certain significance for improving the drying efficiency and quality of soybean,and provided reference for industrial application of microwave vacuum drying and deep processing of soybean.
分 类 号:TS210.4[轻工技术与工程—粮食、油脂及植物蛋白工程]
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