文献类型: 外文期刊
作者: Zhang, Hui 1 ; Pan, Feng 1 ; Han, Dalong 1 ; Liu, Jinbao 1 ; Ji, Chao 1 ;
作者机构: 1.Xinjiang Acad Agr & Reclamat Sci, Inst Mech Equipment, Shihezi 832000, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Northwest Agr Equipment, Shihezi 832003, Peoples R China
关键词: agricultural machinery; tests; hole-forming mechanism; EDEM-CFD; cotton; precision seeding
期刊名称:AGRICULTURE-BASEL ( 影响因子:3.3; 五年影响因子:3.5 )
ISSN:
年卷期: 2024 年 14 卷 6 期
页码:
收录情况: SCI
摘要: To solve the limitation of speed in the operation of air-suction cotton precision seeding devices, a new crawler-type precision on-film seeding device was designed using an extended duckbill hole-forming device to produce hole-forming belts and lateral seed collection. Coupling simulation of seeding, and analysis of drag force and movement speed of cotton seeds were conducted on EDEM-CFD. A mechanical model of the operation was established, and the effects of the suction hole diameter, pressure relief block length, and wind pressure on seeding performance were analyzed. Regression models between influencing factors and seeding performance indices were established using response surface methodology. The test data were analyzed using Design Expert 10.0.3. The influence rules for each factor on seeding performance were established. The factors affecting the seeding qualified index exhibited the following order: air pressure > pressure relief block length > suction hole diameter. The optimization goals included defining the maximum value of a qualified single-seed index and the minimum value of the missing index, and the best parameter combination was obtained based on a suction hole diameter of 3.624 mm, pressure relief block length of 63.369 mm, and wind pressure of 3.797 kPa. According to the actual test conditions, the parameters were revised to include a suction hole diameter of 3.6 mm, a relief block length of 63.4 mm, and wind (air) pressure of 3.8 kPa for verification tests. The actual qualified single-seed index is 94.87% +/- 0.98 %, the missing index is 1.45% +/- 0.32%, and the multiple index is 3.68% +/- 0.62%. The difference from the predicted value is within 5%, indicating that this study can provide a reference for the structural design and optimization of crawler-type on-film precision cotton seeding devices.
- 相关文献
作者其他论文 更多>>
-
GNSS and LiDAR Integrated Navigation Method in Orchards with Intermittent GNSS Dropout
作者:Li, Yilong;Feng, Qingchun;Sun, Yu;Feng, Qingchun;Sun, Jiahui;Feng, Qingchun;Ji, Chao
关键词:autonomous navigation; orchard; GNSS/INS integration; LiDAR; agricultural robot
-
A Precise Simultaneous Sowed Control System for Maize Seed and Fertilizer
作者:Liang, Jinxin;Pan, Feng;Chen, Jincheng;Zhang, Hui;Ji, Chao;Liang, Jinxin;Liang, Jinxin;Pan, Feng;Chen, Jincheng;Zhang, Hui;Ji, Chao
关键词:accurate simultaneous sowing; seed fertilizer location; real-time control; motor drive
-
A method for multi-target segmentation of bud-stage apple trees based on improved YOLOv8
作者:Chen, Jincheng;Li, Yujie;Ma, Benxue;Chen, Jincheng;Ji, Chao;Zhang, Jing;Chen, Jincheng;Ji, Chao;Zhang, Jing;Li, Yujie;Ma, Benxue;Feng, Qingchun;Li, Yujie;Ma, Benxue
关键词:YOLOv8; Bud stage; Apple tree; Multi-target segmentation; Complex background
-
Design and Experiment of Plate Taking Control System of Edible Sunflower (Edulis helianthus catino L.) Harvester
作者:Pan, Feng;Chen, Jincheng;Zhang, Hui;Han, Lin;Dong, Yuncheng;Li, Bin;Ji, Chao;Pan, Feng;Chen, Jincheng;Zhang, Hui;Han, Lin;Dong, Yuncheng;Li, Bin;Ji, Chao;Han, Lin
关键词:edible sunflower; harvester; plate taking control system; trapezoidal acceleration and deceleration control algorithm; field experiment
-
YOLOv8-segANDcal: segmentation, extraction, and calculation of soybean radicle features
作者:Wu, Yijie;Li, Zhengjun;Jiang, Haoyu;Li, Qianyun;Fu, Xiuqing;Guo, Biao;Qiao, Jinxin;Pan, Feng
关键词:YOLOv8; soybean germination; image segmentation; feature extraction; radicle length calculation
-
Numerical Simulation and Bench Test of Crawler-Type Cotton Time-Delay Hole-Forming Device Based on RecurDyn-EDEM Coupling
作者:Pan, Feng;Chen, Jincheng;Zhang, Hualin;Wang, Baiwei;Jiang, Xizhen;Ji, Chao;Pan, Feng;Chen, Jincheng;Zhang, Hualin;Wang, Baiwei;Jiang, Xizhen;Ji, Chao;Zhang, Hualin;Jiang, Xizhen
关键词:cotton; crawler-type; delayed hole-forming device; coupling simulation; field experiment; soil bin test
-
Apple inflorescence recognition of phenology stage in complex background based on improved YOLOv7
作者:Chen, Jincheng;Ma, Benxue;Liu, Xin;Li, Yujie;Chen, Jincheng;Ji, Chao;Zhang, Jing;Ma, Benxue;Feng, Qingchun;Ma, Benxue
关键词:Phenology; Apple inflorescence; Deep learning; YOLOv7; Target recognition