Abstract
［［Objective ］］ Improve the rapid grading technology of fresh goji berries.［［Methods ］］ Utilizing the physical properties of fresh goji berries with a density lower than water,a fresh goji berry classifier was developed using flotation principles.The theoretical structural parameters of the classifier were calculated and specified through mechanical analysis and experimental measurements.Based on ANSYS Fluent simulation of the grading process,analyzed the simulation results,and verified and accurately determined the theoretical structural parameters of the classifier.［［Results］］ The specific parameters of the classifier were:cage diameter 0.34 m,length 2.1 m,roller bar diameter 10mm,cage tilt angle 17°,water flow rate 1.7×10-2 m3/s,water flow rate 3.5 m/s,cage speed 12 r/min.Using parallel and batch testing methods,the production efficiency and capacity of the prototype were verified.The parallel test results showed that the average classification accuracy of fresh goji berries was about 93.79%,and the non -destructive rate of fresh goji berries was 98.21%.Batch experiments have shown that the average production capacity of fresh goji berries was 1 020.6 kg/h,and the average classification accuracy was 92.85%.［［Conclusion ］］ The squirrel cage fresh goji berry classifier developed in this article based on flotation method can achieve low loss,fast,and efficient classification of fresh goji berries.
Publication Date
2-18-2025
First Page
86
Last Page
92
DOI
10.13652/j.spjx.1003.5788.2024.80252
Recommended Citation
Qianjin, QU; Jun, ZHANG; Ningbo, KANG; Gaige, DENG; Lianghuan, ZHOU; and Hongbo, ZHANG
(2025)
"Design and test of mouse cage fresh wolfberry classifier based on flotation method,"
Food and Machinery: Vol. 40:
Iss.
10, Article 13.
DOI: 10.13652/j.spjx.1003.5788.2024.80252
Available at:
https://www.ifoodmm.cn/journal/vol40/iss10/13
References
[1] 年新,高艺玮,连敏,等.宁夏枸杞产业发展现状及建议 [J].农业科技通讯,2024 (2):4-6.NIAN X,GAO Y W,LIAN M,et al.The current situation and suggestions for the development of Ningxia Goji berry industry [J].Agricultural Science and Technology Communication,2024 (2):4-6.
[2] 马建华.枸杞机器视觉分级分选机的研制 [D].银川:宁夏大学,2017:1-12.MA J H.The development of wolfberry classifier based on machine vision [D].Yinchuan:Ningxia University,2017:1-12.
[3] 曾泽宇.基于计算机视觉的枸杞分级方法研究 [D].兰州:兰州理工大学,2019:40-57.ZENG Z Y.Chinese wolfberry classification method based on computer vision [D].Lanzhou:Lanzhou University of Technology,2019:40-57.
[4] 张魄珊,靳伍银.基于 MATLAB 图像处理的枸杞分级方法 [J].甘肃农业大学学报,2017,52(3):131-135.ZHANG L S,JIN W Y.A grading method for goji berries based on MATLAB image processing [J].Journal of Gansu Agricultural University,2017,52(3):131-135.
[5] 于洋,任思敏,魏雅鑫,等.基于 EDEM的变间距式鲜枸杞分级机设计 [J].干旱地区农业研究,2023,41(3):266-273.YU Y,REN S M,WEI Y X,et al.A classification method on Chinese wolfberry based on MATLAB image processing [J].Agricultural Research in Arid Areas,2023,41(3):266-273.
[6] 卢伟,蔡苗苗,张强,等.高光谱和集成学习的黑枸杞快速分级方法 [J].光谱学与光谱分析,2021,41(7):2 196-2 204.LU W,CAI M M,ZHANG Q,et al.Fast classification method of black goji berry (Lycium Ruthenicum murr.) based on hyperspectral and ensemble learning [J].Spectroscopy and Spectral Analysis,2021,41(7):2 196-2 204.
[7] 朱雯莎,刘国安,李茹一,等.浮选法在赤霞珠葡萄果粒成熟度分级中的应用 [J].食品与发酵工业,2023,49(12):100-105.ZHU W S,LIU G A,LI R Y,et al.Assessment of maturity of cabernet sauvignon grapes sorted by flotation [J].Food and Fermentation Industry,2023,49(12):100-105.
[8] 赵娟红,米娟娟,李治刚,等.宁夏枸杞果实性状和预处理对果实制干的影响 [J].林业科学,2024,60(3):35-44.ZHAO J H,MI J J,LI Z G,et al.Effects of Lycium barbarum fruit characteristics and pretreatment on the fruit drying [J].Forestry Science,2024,60(3):35-44.
[9] 耿燕,许正宏,史劲松,等.枸杞多糖体外调节人体肠道菌群的功能研究 [J].食品与生物技术学报,2023,42(9):74-81.GENG Y,XU Z H,SHI J S,et al.Study on the function of Lycium barbarum polysaccharides in regulating human gut microbiota in vitro [J].Journal of Food Science and Biotechnology,2023,42(9):74-81.
[10] 于洋,蔚明强,王尔杰,等.枸杞烘干箱温度场优化及仿真[J].食品与机械,2024,40(1):101-107,114.YU Y,WEI M Q,WANG E J,et al.Optimization and simulation analysis of temperature field of wolfberry drying box[J].Food & Machinery,2024,40(1):101-107,114.
[11] 康 宁 波,何 建 国,瞿 前 进,等.鲜 枸 杞 清 洗 分 级 机:CN117694560 A[P].2024 -03-15.KANG N B,HE J G,QU Q J,et al.Fresh goji berry cleaning and grading machine:CN117694560 A[P].2024 -03-15.
[12] 刘明政,李长河,曹成茂,等.核桃分级破壳取仁及壳仁分离关键技术与装置研究进展 [J].农业工程学报,2020,36(20):294-310.LIU M Z,LI C H,CAO C M,et al.Research progress on key technology and device for size-grading shell-breaking and shell-kernel separation of walnut [J].Journal of Agricultural Engineering,2020,36(20):294-310.
[13] 马建华,张冬,何建国,等.枸杞自动化输送和分级装置机械设计 [J].农机化研究,2017,39(2):108-111,116.MA J H,ZHANG D,HE J G,et al.Mechanical design of wolfberry automatic conveyor and grading equipment [J].Research on Agricultural Mechanization,2017,39(2):108-111,116.
[14] 史洺宇,齐梅,易成高,等.静水中气泡上升运动及阻力系数研究 [J].计算力学学报,2019,36(3):422-428.SHI M Y,QI M,YI C G,et al.Study on kinetic properties and drag coefficient of rising bubble behavior in still water [J].Journal of Computational Mechanics,2019,36(3):422-428.
[15] 史增录,唐学鹏,赵守瑞,等.栅条滚筒式干果分级机设计[J].农业工程,2018,8(7):105-109.SHI Z L,TANG X P,ZHAO S R,et al.Design of grid cylinder type dried fruit sorting machine [J].Agricultural Engineering,2018,8(7):105-109.
[16] 吕金庆,于佳钰,冯雪,等.辊式马铃薯分级机设计与试验[J].农业机械学报,2019,50(2):323-332.LU J Q,YU J Y,FENG X,et al.Design and experiment of roller potato grading machine [J].Journal of Agricultural Machinery,2019,50(2):323-332.
[17] 康宁波,强锋,吴龙国,等.基于电磁式同步执行机构的鲜枣分级机设计与试验 [J].农业工程学报,2017,33(7):254-260.KANG N B,QIANG F,WU L G,et al.Design and experiment of synchnronization actuator system based on electromagnetism for fresh jujube classifier [J].Journal of Agricultural Engineering,2017,33(7):254-260.
[18] 胡博,唐晓姝,陈雪梅,等.红枣枸杞浸泡酒营养成分及体外抗氧化活性分析 [J].食品与生物技术学报,2022,41(1):44-50.HU B,TANG X H,CHEN X M,et al.Analysis of nutrients and antioxidant activity of red jujube wolfberry-soaked wine [J].Journal of Food Science and Biotechnology,2022,41(1):44-50.
[19] 刘佳浩,高军伟,张炳星,等.基于机器视觉的水果分级系统[J].食品与机械,2023,39(6):112-118.LIU J H,GAO J W,ZHANG B X,et al.Design of fruit grading system based on machine vision [J].Food & Machinery,2023,39(6):112-118.
[20] 符灵梅,王玉健,徐莉,等.超高效液相色谱—串联质谱法快速分析氰霜唑及其代谢物 CCIM在水果中的残留 [J].食品与生物技术学报,2022,41(9):93-103.FU L M,WANG Y J,XU L,et al.Rapid analysis of cyazofamid and CCIM residues in fruits by ultra-high performance liquid chromatography tandem mass spectrometry[J].Journal of Food Science and Biotechnology,2022,41(9):93-103.
