贾洪雷,郭明卓,郭春江,郑健,张成亮,赵佳乐.免耕播种机动态仿生破茬装置设计与参数试验优化[J].农业机械学报,2018,49(10):103-114.
JIA Honglei,GUO Mingzhuo,GUO Chunjiang,ZHENG Jian,ZHANG Chengliang,ZHAO Jiale.Design of Dynamic Bionic Stubble Cutting Device and Optimization Test of Parameters[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(10):103-114.
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免耕播种机动态仿生破茬装置设计与参数试验优化   [下载全文]
Design of Dynamic Bionic Stubble Cutting Device and Optimization Test of Parameters   [Download Pdf][in English]
投稿时间:2018-04-23  
DOI:10.6041/j.issn.1000-1298.2018.10.012
中文关键词:  免耕播种机  防堵装置  破茬装置  动态仿生  正交试验
基金项目:国家重点研发计划项目(2017YFD0700701)、国家自然科学基金项目(51705194)和吉林省科技发展计划项目(20160307011NY)
作者单位
贾洪雷 吉林大学 
郭明卓 吉林大学 
郭春江 吉林大学 
郑健 吉林大学 
张成亮 哈尔滨市农业科学院 
赵佳乐 吉林大学 
中文摘要:针对中国东北地区玉米秸秆粗壮量大、不易腐烂,造成免耕播种机破茬防堵装置秸秆根茬切断率低和作业所需切割扭矩大的技术难题,以蝗虫口器多段阶梯锯齿状结构和双上颚异向等速咬合运动方式为仿生原型,设计一种可在东北地区实现高效破茬防堵作业的动态仿生破茬装置。通过仿生构建、机构设计、理论分析和参数优化等方法设计了行星齿轮变速机构和仿生破茬刀;运用Arduino系统和智能控制方法设计了智能驱动系统,实现了运动方式-结构耦合仿生;通过参数优化试验和回归分析等方法,研究了结构和作业参数对秸秆切断率和切割扭矩的影响规律,并得出最佳参数组合:作业速度为10km/h,回转半径为250mm,正转破茬刀仿蝗虫口器刀片数量为9,反转破茬刀仿蝗虫口器刀片数量为18;最终通过对比试验得出动态仿生破茬装置相较于被动缺口圆盘破茬刀可提高秸秆根茬切断率22.6%~27.4%;相较于驱动缺口圆盘破茬刀可提高秸秆根茬切断率8.6%~13.5%,降低扭矩输出19.5%~21.8%;作业后使用共聚焦激光扫描仪进行耐摩擦磨损对比试验,其平均表面粗糙度和最大磨痕深度相较于驱动缺口圆盘破茬刀分别下降14.5%和15.9%。
JIA Honglei  GUO Mingzhuo  GUO Chunjiang  ZHENG Jian  ZHANG Chengliang  ZHAO Jiale
Jilin University,Jilin University,Jilin University,Jilin University,Harbin Academy of Agricultural Science and Jilin University
Key Words:no-tillage planter  anti-blocking device  stubble device  dynamic bionic  orthogonal test
Abstract:Corn stalks are stout and non-perishable in Northeast China, which results in the low cutting-out rate and high working resistance torque of the no-tillage planter. To improve the cutting efficiency of corn stalks and stubbles, a dynamic bionic stubble cutting device was designed, which was based on both the multistep serrated mouthpart structure and the moving mode of different-direction isokinetic occlusion. The planetary gear mechanism and bionic cutting disc were designed through bionic-construction, mechanism design, theoretical analysis and parameter optimization;the intelligent driving system was designed by using Arduino system and intelligent control method, and thus the coupling bionic of motion mode and structure was realized. Moreover, the effect of structure and operating parameters, including the number of blades, radius of gyration and forward speed,on the cutting efficiency and working torque was studied via optimization test and regression analysis. The simulation tests results showed that the dynamic bionic stubble cutting device achieved the optimal working efficiency when the machine speed was 10km/h, the radius of gyration was 250mm, the number of bionic locust mouthpart blade in positive rotation cutting disc was 9, and the number of bionic locust mouthpart blade in reverse rotation cutting disc was 18. The comparative tests showed that for the dynamic bionic stubble cutting device, the cutting rate of corn stalks and stubbles were decreased with the increase of machine speed. The cutting-out rate was the highest with a value of 97.1% when the machine speed was 6km/h, while it was the lowest with a value of 92.9% when the machine speed was 10km/h. Compared with the passive notch disc and the driving notch disc, the cutting-out rate of the dynamic bionic stubble cutting device was increased by 22.6%~27.4% and 8.6%~13.5%, respectively. Besides, the cutting torque of dynamic bionic stubble cutting device was decreased with the increase of the machine speed. When the machine speed was 6km/h, the cutting torque was the largest with value of 60.5N·m. Whereas the cutting torque reached the minimum at the machine speed of 10km/h with value of 54.1N·m. The cutting torque of dynamic bionic stubble cutting device was reduced by 19.5%~21.8% compared with the driving notch disc. After the operation, the average surface roughness and the maximum wear scar depth were decreased by 14.5% and 15.9%, respectively, compared with that of the driving notch disc.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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