蒋恩臣,孙占峰,潘志洋,王立军.超级稻摘穗收获机沉降箱性能分析与运行参数优化[J].农业机械学报,2015,46(1):100-105.
Jiang Enchen,Sun Zhanfeng,Pan Zhiyang,Wang Lijun.Performance Analysis and Operational Parameters Optimization of Deposition Chamber to Clean Super Rice in Stripper Combine Harvester[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):100-105.
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超级稻摘穗收获机沉降箱性能分析与运行参数优化   [下载全文]
Performance Analysis and Operational Parameters Optimization of Deposition Chamber to Clean Super Rice in Stripper Combine Harvester   [Download Pdf][in English]
投稿时间:2014-02-18  
DOI:10.6041/j.issn.1000-1298.2015.01.015
中文关键词:  摘穗收获机 沉降箱 超级稻 运行参数 正交试验
基金项目:国家自然科学基金资助项目(51005045)
作者单位
蒋恩臣 东北农业大学 
孙占峰 东北农业大学 
潘志洋 东北农业大学 
王立军 东北农业大学 
中文摘要:为使4ZTL-2000型摘穗收获机收获超级稻时具有最佳清选性能,以谷物清洁率和沉降箱能耗为指标,沉降箱入口气流速度、谷物喂入量及其初速度为影响因素,采用二次正交旋转组合设计试验,利用Design-Expert 6.0.10进行数据处理,得出回归数学模型,通过响应曲面方法分析指标与因素间的相互作用,并对回归数学模型进行多目标优化。结果表明:沉降箱入口气流速度对沉降箱指标影响最大,谷物初速度相对小,谷物喂入量的影响最小。为使沉降箱处理超级稻(目前谷物喂入量最大为3.78kg/s)时具有最佳性能,通过优化获得运行参数的最佳组合为:沉降箱入口气流速度为13.93m/s,谷物初速度为18.84m/s。通过试验验证谷物清洁率达到了90.1%,沉降箱能耗为3483Pa,籽粒沉降效率为100%。
Jiang Enchen  Sun Zhanfeng  Pan Zhiyang  Wang Lijun
Northeast Agricultural University,Northeast Agricultural University,Northeast Agricultural University and Northeast Agricultural University
Key Words:Stripper combine harvester Deposition chamber Super rice Operational parameters Orthogonal experiment
Abstract:4ZTL-2000 rice stripper combine harvester with air suction is a feasible machine for the harvesting of super rice. Deposition chamber is a key part of combine harvester. In order to obtain the outstanding performance and optimal parameters of the deposition chamber to clean super rice, quadratic orthogonal rotational combinational design was conducted. The factors were selected as inlet airflow velocity of the deposition chamber, mass and velocity of grain fed. Cleaning rate of grain and airflow pressure drop in the deposition chamber were objective indexes. The regression models between indexes and factors were developed by using Design-Expert software. The interactions of factors on the indexes were analyzed by the response surface method. The results show that inlet airflow velocity of the deposition chamber has the most significant effect on the indexes of the chamber, followed by velocity of grain fed, then mass of grain fed. In order to make the deposition chamber reach optimum performance to clean super rice under the mass of grain fed of 3.78kg/s in combine harvester, factors in the regression mathematical models were optimized to obtain the optimal parameters as inlet airflow velocity of deposition chamber of 13.93m/s, velocity of grain fed of 18.84m/s with cleaning rate of grain out of the deposition chamber of 90.26% and airflow pressure drop in the deposition chamber of 350.36Pa. The verified experimental results were that cleaning rate of grain out of the deposition chamber of 90.1% and airflow pressure drop in the deposition chamber of 3483Pa,which were consistent with the optimized results. The results offer the information to improve the performance of the deposition chamber to clean super rice in stripper combine harvester.

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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