马丽娜,杜岳峰,宋正河,毛恩荣.玉米收获机准静态横向稳定性数学建模与试验[J].农业机械学报,2016,47(7):89-95.
Ma Li’na,Du Yuefeng,Song Zhenghe,Mao Enrong.Mathematical Modeling and Experiment of Corn Harvester Quasi-static Lateral Stability[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(7):89-95.
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玉米收获机准静态横向稳定性数学建模与试验   [下载全文]
Mathematical Modeling and Experiment of Corn Harvester Quasi-static Lateral Stability   [Download Pdf][in English]
投稿时间:2016-01-14  
DOI:10.6041/j.issn.1000-1298.2016.07.013
中文关键词:  玉米收获机  准静态横向稳定性  数学模型  侧倾试验
基金项目:现代农业装备与技术协同创新中心项目(NZXT01201401)和中央高校基本科研业务费专项资金项目(2015QC009)
作者单位
马丽娜 中国农业大学 
杜岳峰 中国农业大学 
宋正河 中国农业大学 
毛恩荣 中国农业大学 
中文摘要:综合玉米收获机后桥摇摆轴结构以及前、后桥轮距不等因素,建立了玉米收获机准静态横向稳定性数学模型,并进行了仿真分析和整机侧倾试验,二者结果相对误差仅为2.59%,验证了该模型的正确性,明确了整机横向稳定性的影响因素。然后,利用编码变换,将各影响因素的变化范围转换到\[-1,1\],实现了不同影响因素对横向稳定性系数λ影响程度的可比性,从而明确了玉米收获机准静态横向稳定性的关键影响因素是:轴距x、整机重心高度h、重心到前桥的距离a以及前轮轮距t1。最后,提出了提高整机横向稳定性的措施。研究结果表明,整机重心h降低100mm,空载前后桥载荷比i提高至4,且采用对称布置的试验样机,横向稳定性可提高19.03%。
Ma Li’na  Du Yuefeng  Song Zhenghe  Mao Enrong
China Agricultural University,China Agricultural University,China Agricultural University and China Agricultural University
Key Words:corn harvester  quasi-static lateral stability  mathematical model  lateral stability test
Abstract:On the basis of studying both at home and abroad, not only the orientation of the corn harvester rear axle pivot had been considered, but also the track width differences between front axle and rear axle had been taken into account, thus a more accurate quasi static lateral stability mathematical model was constructed. Then lateral stability experiment and simulation analysis were carried out in order to verify the validity of the model. Accordingly the lateral stability influence factors were obtained. Afterwards, each influence factor was firstly set at a certain range of values, then the value range of each influence factor was converted into an identical range \[-1,1\], taking advantage of encoding transform. Therefore the curve of lateral stability indicator λ changing with the varying of different influence factors could be drawn in the same picture which could directly show the impact extent each factor on the lateral stability. The analysis results showed that the main influence factors of corn harvester quasi static lateral stability were wheel base x, the height of corn harvester center of gravity h, the distance between the center of gravity and front axle a, as well as front axle track width t1. In the end, this paper also put forward several measures to improve the lateral stability of the whole machine. When the center of gravity is lowered by 100mm, the load ratio of the front and rear axle is increased to 4, as well as the symmetric machine model is adopted. The result shows that the alteral critical angle of the corn harvester can be increased from 24.8° to 29.52° and the lateral stability can be raised by 19.03%. The establishment of corn harvester quasi static lateral stability mathematical model can provide a foundation for corn harvester overall arrangement and structure design.

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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