异纤计量系统皮棉开松机构的研制
Development of Lint Opening Mechanism of Foreign Fiber Measuring System
DOI: 10.12677/HJAS.2018.83034, PDF,  被引量    国家自然科学基金支持
作者: 梁丽丽：肥城市农业机械管理局，山东 肥城；王金星*：山东农业大学，山东省园艺机械与设备重点实验室，山东 泰安;山东农业大学机械与电子工程学院，山东 泰安；王 莹：山东农业大学机械与电子工程学院，山东 泰安；陈海龙：山东青州卷烟厂，山东 青州
关键词: 异性纤维；刺钉传送带；开松辊；皮棉开松机构；Heterosexual Fibers； Spike Nails Conveyor Belt； Open Roller； Lint Opening Mechanism
摘要: 为精确检测皮棉中异性纤维的含量，本文提出一种皮棉开松机构，该机构包括皮棉传送装置和皮棉开松装置两大部分。该机构是一种通过刺钉传送带与上开松壳对皮棉钩拉预开松，开松辊尖圆头齿钉对皮棉击打开松，开松辊与栅栏结构底壳对皮棉搓擦开松的新型皮棉开松设备。该设备开松效果良好，棉纤维损伤小，异性纤维破碎率低，可使异性纤维绝大部分暴露在棉花表面，满足后续检测系统对皮棉中的异性纤维进行检测、识别和计量的要求。
Abstract: In order to detect the content of heterosexual fiber in lint accurately, a lint opening mechanism is proposed in this paper. The mechanism is a new lint opening device, whose shell with the upper opening of the lint-tensioning hook opening by piercing spike belt, round trip opening roller teeth loose staple lint blow open, the opening roller and the bottom case lint rub barrier structure opening. The device has good opening effect, small damage to the cotton fiber, low breakage rate of the heterosexual fiber, and most of the heterosexual fiber can be exposed on the surface of the cotton to meet the requirements of the subsequent detection system for the detection, identification and measurement of the heterosexual fiber in the lint.
文章引用：梁丽丽, 王金星, 王莹, 陈海龙. 异纤计量系统皮棉开松机构的研制[J]. 农业科学, 2018, 8(3): 212-219. https://doi.org/10.12677/HJAS.2018.83034

参考文献

[1] 王永娥. 如何提高我国的棉花产量[J]. 商品与质量: 学术观察, 2012(5): 322.
[2] 李福才, 赵国苓, 都占元. 推行棉花机械采摘势在必行[J]. 中国纤检, 2011(23): 30-31.
[3] 孟雅丽. “三丝”多与少，数字来说话[J]. 中国纺织, 2005(8): 72-73.
[4] 罗良国, 任爱荣. 异性纤维: 困扰纺织企业最突出的棉花质量问题——对我国纺织企业面对的棉花质量问题调查[J]. 调研世界, 2006(6): 224-228.
[5] 王钦祥. 基于气流传送的棉花异性纤维快速检测系统研究[M]. 泰安: 山东农业大学, 2013.
[6] 杨文柱, 李道亮, 魏新华, 康玉国, 李付堂. 基于自动视觉检测的棉花异性纤维分类系统[J]. 农业机械学报, 2009, 40(12): 177-227.
[7] 敬兴无. 棉花异性纤维的危害和预防[J]. 中国棉花加工, 2011(6): 42-43.
[8] 郭俊先, 应义斌. 皮棉中杂质检测技术与检出装备的研究进展[J]. 农业机械学报, 2008.
[9] 李碧丹, 丁天怀, 郏东耀. 皮棉异性纤维剔除系统设计[J]. 农业机械学报, 2006, 37(2): 107-110.
[10] 罗得坡, 朱邦太, 李勋. 紫外线荧光效应及其在棉花异性纤维分拣系统中的应用[J]. 河南科技大学学报(自然科学版), 2007, 28(2): 63-67.
[11] 尚敏娟. 基于机器视觉的异性纤维检测与清除系统研究[D]: [硕士学位论文]. 洛阳: 河南科技大学, 2008.
[12] 杨宏君. 异纤分拣机检测的特点分析[J]. 纺织器材, 2011 , 38(s1): 44-47.
[13] 张馨, 李道亮, 杨文柱, 王金星, 刘双喜. 高分辨率棉花异性纤维彩色图像的快速分割方法[J]. 农业机械学报, 2011, 42(1): 159-164.
[14] 郑文秀, 王金星, 刘双喜, 康玉国, 李付堂. 棉花异性纤维的动态识别技术研究[J]. 仪器仪表学报, 30(10): 2203-2207.
[15] 朱仲堂. 解决棉花中异性纤维的建议[J]. 中国纤检, 2007(6): 42-43.
[16] 华才健, 苏真伟, 乔丽, 史晋芳. 基于线激光的棉花中白色异性纤维检测[J]. 农业机械学报, 2012, 43(2): 181-185.
[17] Yang, C., Chao, K. and Chen, Y. (2005) Development of Multispectral Image Processing Algorithms for Identification of Wholesome, Septicemic, and Inflammatory Process Chickens. Journal of Food Engineering, 69, 225-234. [Google Scholar] [CrossRef] 
[18] Roland, K., Catherine, C. and Francois, P. (2007) Numerical Simulation of Mass Transfer in a Liquid-Liquid Membrane Contactor for laminar Flow Conditions. Computers and Chemical Engineering, 32, 1325-1333.
[19] Aleixos, N., Blasco, J. and Navarrón, F. (2002) Multispectral Inspection of Citrus in Real-Time using Machine Vi-sion and Digital Signal Processors. Computers and Electronics in Agriculture, 33, 121-137. [Google Scholar] [CrossRef] 
[20] Yang, W., Li, D., Zhu, L., Kang, Y. and Li, F. (2009) A New Approach for Image Processing in Foreign Fiber Detection. Computers and Electronic in Agriculture, 68, 68-77. [Google Scholar] [CrossRef] 
[21] Aart, K., Magnus, L., Iris, M., et al. (2008) Statistical Analysis of Coastal Morphological Data Sets over Seasonal to Decadal Time Scales. Coastal Engineering, 55, 581-600.
[22] Ajay, P., Hamed, S.-S. and Hequet Eric, F. (2009) Recognition of Cotton Contamination via X-Ray Micro-Tomographic Image Analysis. IEEE Transactions on Industry Applications, 40, 77-85.
[23] Pichel, J.C., Singh, D.E. and Rivera, F.F. (2006) Image Segmentation Based on Merging of Sub-Optimal Segmentations. Pattern Recognition Letters, 27, 1105-1116. [Google Scholar] [CrossRef] 
[24] Rieci, S., Dallai, A. and Boni, E. (2008) Embedded System for Real-Time Digital Processing of Medical Ultrasound Doppler Signals EURASIP. Journal on Advances in Signal Processing, 2008, Article ID: 418235.

为你推荐