Abstract
The system was based on the differenceof X-ray absorption capacity of different density materials to design On-line elimination system of foreign materials in cut tobacco based on X-ray. The system uses X-ray to transmit the cut tobacco to form the original density data, and uses the mutation of the original density value to distinguish the foreign materials, so as to realize the function of on-line detection and recognition of foreign materials. And a unique method of screening out foreign materials by parallelogram injection which made the foreign materials close to the center of the parallelogram was designed to improve the effectiveness of screening out the foreign materials in cut tobacco. The experimental results showed that the device could effectively identify and eliminate all kinds of metallic and non-metallic foreign materials when it was installed at the outlet of cut tobacco cabinet of primary processing line. The average recognition rate of foreign materials in cut tobacco is above 99.5%, and the average elimination rate is above 95.8%.
Publication Date
5-28-2021
First Page
126
Last Page
130
DOI
10.13652/j.issn.1003-5788.2021.05.023
Recommended Citation
Ming, HAN; Xue-qin, WU; Hui-dan, HAN; Shu-hua, ZHAO; and Jian-xin, ZHU
(2021)
"On-line elimination system of foreign materials in cut tobacco based on X-ray,"
Food and Machinery: Vol. 37:
Iss.
5, Article 23.
DOI: 10.13652/j.issn.1003-5788.2021.05.023
Available at:
https://www.ifoodmm.cn/journal/vol37/iss5/23
References
[1] 国家烟草专卖局. 卷烟工艺规范[S]. 北京: 中央文献出版社, 2003: 6-8.
[2] 李晓, 熊安言. FX6型就地风选器在梗签风选中的应用[J]. 烟草科技, 2006（8）: 9-11.
[3] 陈福. HELIUS激光除杂在制丝生产线异物剔除中的应用[J]. 工业设计, 2016（1）: 152-153.
[4] 马亚, 杨白凡, 杭建军. 垂直风送片烟多光谱异物剔除系统的设计[J]. 烟草科技, 2015, 48（8）: 76-81.
[5] 高翔, 张超, 陈杰, 等. 关于AEROSORT除杂效果的研究[J]. 粮食科技与经济, 2018, 43（12）: 104-108.
[6] 南京大树科技股份有限公司. 烟草异物剔除系统: 2010205779334[P]. 2010-10-02.
[7] 江苏中烟工业有限责任公司. 一种新型的金属除杂装置: 201921079942.8[P]. 2020-04-28.
[8] KIM S, SCHATZKI T F. Apple water-core sorting system using X-ray imagery I: Algorithm development[J]. Transactions of the ASAE, 2000, 43（61）: 1 695-1 702.
[9] 丁杰, 王明泉, 张俊生, 等. 汽车轮毂缺陷检测中的缺陷增强与字符去除技术[J]. 科学技术与工程, 2017, 35（17）: 76-81.
[10] KHERLOPIAN Armen R, SONG Ting, DUAN Qi, et al. A review of imaging techniques for systems biology[J]. BMC Systems Biology , 2008, 2（1）: 74.
[11] 濮良贵, 陈国定, 吴立言. 机械设计[M]. 北京: 高等教育出版社, 2013: 3-38.
[12] 王庆根, 张入通, 郭彦斌. 工业射线检测用灰度图像处理方法应用研究[J]. 制造业自动化, 2005（7）: 75-77.
[13] 卢艳平, 王珏, 覃仁超. 一种剥皮算法在工业CT图像分割中的应用[J]. 无损检测, 2005（5）: 235-237.
[14] 田伟, 沈浩, 李晓, 等. 基于图像处理的廊道表面裂缝检测技术研究[J]. 电子设计工程, 2020, 28（5）: 148-151.
[15] MCMAHON P J, PEELE A G, PATERSON D, et al. X-ray tomographic imaging of the complex refractive index[J]. Applied Physics Letters, 2003, 83（7）: 1 480-1 482.
[16] 张文建. 基于X射线的食品异物图像的边缘检测算法研究[D]. 上海: 上海交通大学, 2016: 20-46.
[17] 纪连恩, 邹银龙, 辛冰. 面向三维导航的智能终端传感器数据处理技术[J]. 计算机应用, 2015, 35（1）: 252-256, 288.
[18] 于辉, 尹凤福, 闫磊, 等. 塑料近红外分选设备喷吹分离的仿真研究[J]. 机电工程, 2019, 36（4）: 378-382.
[19] 朱文魁, 刘斌, 毛伟俊, 等. 基于低能X射线透射成像的打叶片烟中烟梗在线检测[J]. 烟草科技, 2015, 48（2）: 69-74.
[20] 杨俊杰, 陶文华. 基于激光分拣技术的烟草异物剔除系统[J]. 机械制造与自动化, 2019, 48（6）: 214-216.
[21] 陆晓东. 自动电磁除杂技术在烟草除杂工艺中的应用[J]. 测控技术, 2015, 34（4）: 93-96.
