根据紫苏品种的物理特性进行比较,为研制高品质、高效率的清洗机和石料分离器提供依据

Jong Ryul Park, H. Park, Hye-Rin Park, G.H. Yang, Jung Hyun Lee
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摘要

分析了主要紫苏品种的物理特性,为设计高品质、高效率的紫苏清洗机和石料分离器提供基础数据。由于紫苏品种不同,其粒度、千粒重、休止角、摩擦角、堆积密度、末速等均有显著差异,提高紫苏清石机性能应考虑品种特性的不同。因此,采用可拆卸式筛,或采用2 - 3级筛等设备,调节坡度,可提高筛清石效果。此外,由于紫苏品种的大小和千粒重不同,会产生终端速度的差异,因此在改进的清洗机设计中考虑了风机转速可调的风机。此外,通过对其他性状系数的比较,发现紫苏长度的相关性最大。因此,紫苏的长度可以作为设备精细调整和部件更换的主要因素。这些结果可为研制高质量、高效率的紫苏清洗机和石料分离器提供基础数据。在未来,需要在基础数据的基础上进行机器的开发和后续研究,以确定优化的操作条件和作用机理。
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Comparison of the physical characteristics according to the varieties of perilla for the development of a high-quality, high-efficiency cleaner and stone separator
The physical characteristics of the major varieties of perilla were analyzed to use as basic data for the design of a high-quality, high-efficiency perilla cleaner and stone separator. Because the size, thousand-grain weight, angle of repose, angle of friction, bulk density and terminal velocity of perilla have significant differences according to the perilla variety, the different of characteristics by variety should be considered for performance improvement of a perilla cleaner and stone separator. Therefore the cleaner and stone separator using a sieve could be improved by the application of a detachable sieve or by using equipment such as a 2 3 stage sieve and regulating the slope. Moreover, because differences in the terminal velocity occur due to the differences in the size and thousand-grain weight according to the perilla variety, a blower with an adjustable fan speed was considered for the design of the improved cleaner. Additionally, it was shown that the length of perilla has the greatest correlation based on a comparison of the coefficients of the other characteristics. Accordingly, the length of perilla could be used as a major factor for the fine adjustment and parts replacement of the device. These results can be used as basic data for a high-quality, high-efficiency perilla cleaner and stone separator. In the future, the development of the machine and follow-up studies based on the basic data are needed to determine the optimized operating conditions and mechanism of action.
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