In this study the effect of initial parameters such as inlet gas temperature, initial particles temperature and gas velocity on temperature changes of solid particles and outlet gas temperature in a fluidized bed drye...In this study the effect of initial parameters such as inlet gas temperature, initial particles temperature and gas velocity on temperature changes of solid particles and outlet gas temperature in a fluidized bed dryer was studied. For testing, an experimental setup was established. With combination of air and Colza seeds belonging to D groups of the Geldart classification (Geldart, 1986) fluidization regime was carried out. With five test series with maintaining the inlet gas temperature, solid particle temperature and outlet gas temperature during time were carefully measured. To analyze these data by using regression analysis to predict solid particle and outlet gas temperature, 2 correlations on initial pa-rameters were presented. The result has shown that temperature gradients in the beginning of fluidization, is very high and therefore the exponential functions in the regression model is used to predict the temperature changes.展开更多
麦-玉一年两熟的江淮、黄淮地区秸秆混土还田保护性耕作模式,麦秸秆-土壤混合的种床缺乏准确的物料相互接触参数,阻碍了机械化玉米精密播种过程中关键部件、种粒、肥料与混合种床相互作用研究,进而制约了机具优化与改进。采用物理与EDE...麦-玉一年两熟的江淮、黄淮地区秸秆混土还田保护性耕作模式,麦秸秆-土壤混合的种床缺乏准确的物料相互接触参数,阻碍了机械化玉米精密播种过程中关键部件、种粒、肥料与混合种床相互作用研究,进而制约了机具优化与改进。采用物理与EDEM离散元方法结合研究非连续体麦秸秆-土壤混合物之间相互作用,选用Bonding V2黏结模型搭建柔性麦秸秆段“元颗粒”,选取Hertz-Mindlin with JKR模型对一定湿度的土壤进行参数标定。首先,以圆桶提升麦秸秆和土壤种床混合物堆积角为响应值,采用Plackett-Burman筛选试验和最陡爬坡试验分别对显著影响因素从大到小排序和缩近最佳取值范围。利用Box-Behnken试验构建了显著影响因素与堆积角二阶回归模型,对显著因素交互项进行响应曲面分析,利用Design-Expert软件优化模型并以实测堆积角39.94°为目标响应值,计算得土壤JKR表面能0.500、土壤-秸秆动摩擦系数0.065 8、土壤-秸秆JKR表面能0.262及土壤-土壤动摩擦系数0.155,仿真验证误差1.08%,表明标定的接触模型参数可靠。该研究可为麦-玉保护性耕作模型下混合种床与机具精密播种相互作用研究提供参考和理论依据。展开更多
文摘In this study the effect of initial parameters such as inlet gas temperature, initial particles temperature and gas velocity on temperature changes of solid particles and outlet gas temperature in a fluidized bed dryer was studied. For testing, an experimental setup was established. With combination of air and Colza seeds belonging to D groups of the Geldart classification (Geldart, 1986) fluidization regime was carried out. With five test series with maintaining the inlet gas temperature, solid particle temperature and outlet gas temperature during time were carefully measured. To analyze these data by using regression analysis to predict solid particle and outlet gas temperature, 2 correlations on initial pa-rameters were presented. The result has shown that temperature gradients in the beginning of fluidization, is very high and therefore the exponential functions in the regression model is used to predict the temperature changes.
文摘麦-玉一年两熟的江淮、黄淮地区秸秆混土还田保护性耕作模式,麦秸秆-土壤混合的种床缺乏准确的物料相互接触参数,阻碍了机械化玉米精密播种过程中关键部件、种粒、肥料与混合种床相互作用研究,进而制约了机具优化与改进。采用物理与EDEM离散元方法结合研究非连续体麦秸秆-土壤混合物之间相互作用,选用Bonding V2黏结模型搭建柔性麦秸秆段“元颗粒”,选取Hertz-Mindlin with JKR模型对一定湿度的土壤进行参数标定。首先,以圆桶提升麦秸秆和土壤种床混合物堆积角为响应值,采用Plackett-Burman筛选试验和最陡爬坡试验分别对显著影响因素从大到小排序和缩近最佳取值范围。利用Box-Behnken试验构建了显著影响因素与堆积角二阶回归模型,对显著因素交互项进行响应曲面分析,利用Design-Expert软件优化模型并以实测堆积角39.94°为目标响应值,计算得土壤JKR表面能0.500、土壤-秸秆动摩擦系数0.065 8、土壤-秸秆JKR表面能0.262及土壤-土壤动摩擦系数0.155,仿真验证误差1.08%,表明标定的接触模型参数可靠。该研究可为麦-玉保护性耕作模型下混合种床与机具精密播种相互作用研究提供参考和理论依据。