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切段式甘蔗收割机排杂风机结构优化与试验
引用本文:邢浩男, 马少春, 王风磊, 白静, 胡继伟. 切段式甘蔗收割机排杂风机结构优化与试验[J]. 农业工程学报, 2020, 36(20): 67-75. DOI: 10.11975/j.issn.1002-6819.2020.20.009
作者姓名:邢浩男  马少春  王风磊  白静  胡继伟
作者单位:1.中国农业大学现代农业装备优化设计北京市重点试验室,北京 100083
基金项目:国家重点研发计划(2016YFD0701200);广西扶绥教授工作站技术服务项目(201805510710115)
摘    要:针对目前机械化收获甘蔗含杂率和损失率高的问题,该研究对广西农业机械研究院有限公司的 4GZQ-180切段式甘蔗收割机风机的内部流场进行了仿真分析并进行了结构优化。该研究表明,原风机叶片和出流室内壁的形状突变、液压马达安装部位凹陷以及主轴阻挡气流均会导致风机内部发生漩涡流动并引起能量损失。优化后的风机叶片前缘和尾缘平滑过渡,提升了叶片性能,优化后的出流室呈圆筒状,主轴轴线与气流主流方向一致,降低了能量损耗,叶轮安装位置远离蔗段,使蔗段不易与叶轮发生碰撞。流量和功率测定结果表明,仿真结果具有较高的准确性。含杂率测定结果表明,优化后的风机在高转速(1 650 r/min)、低行驶速度(1 km/h)时的含杂率与原风机相当,当行驶速度升高至3 km/h后,中(1 350 r/min)、低(1 050 r/min)转速时优化后风机的含杂率明显低于原风机,分别降低了13.91%和20.42%;损失率测定结果表明,优化后风机在低转速时的损失率与原风机最多相差6.48%,当喂入量为1 kg/s时,中、高转速下损失率分别降低了14.77%和28.08%。

关 键 词:农业机械  收获  优化  CFD  含杂率  损失率
收稿时间:2020-07-17
修稿时间:2020-10-28

Structure optimization and experiment of sugarcane chopper harvester extractor
Xing Haonan, Ma Shaochun, Wang Fenglei, Bai Jing, Hu Jiwei. Structure optimization and experiment of sugarcane chopper harvester extractor[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2020, 36(20): 67-75. DOI: 10.11975/j.issn.1002-6819.2020.20.009
Authors:Xing Haonan  Ma Shaochun  Wang Fenglei  Bai Jing  Hu Jiwei
Affiliation:1.Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing 100083, China
Abstract:Abstract: Machine-harvested sugarcane usually contains too many impurities, and subsequently the cane loss often occurs when the impurities were separated by the extractor. These problems make it difficult for the mechanized harvesting of sugarcane to be recognized by sugar mills and farmers, which seriously restricts the promotion of mechanized harvesting in China. In this study, taking the extractor of a segmented sugarcane harvester (model: 4GZQ-180) as the optimization object, a CFD method was used to explore the aerodynamic performance of a extractor, and thereby to propose the improvement scheme, finally to manufacture a prototype for the test. The impurity rate and cane loss rate were used as the main indexes to evaluate the performance of the extractor before and after optimization. The commercial CFD software Fluent was selected to analyze the airflow field nearby the whole extractor and the blade, in order to investigate the performance and defects of the prototype extractor. The SST k-ω model and the realizable k-ε model were utilized to calculate the turbulence near the blade and the turbulence in the extractor, respectively. The simulation results of flow field near the blade showed that the cusp of leading edge and trailing edge of blade can lead to the decrease of the lift, while, the increase of the drag. The simulation results of extractor flow field showed that: the discharge hood changed dramatically, and the airflow was blocked by the main shaft. These defects led to the serious separation of flow in the extractor. In the numerical simulation, the shape of blade was improved, and the maximum lift-to-drag ratio of the improved blade was significantly higher than that of the current blade. The cusp of discharge hood was eliminated after optimization, and the axis direction of main shaft was the same as the air flow direction. In order to further eliminate the flow separation, the cowl was installed outside the hydraulic motor, whereas, the cross-section shape of support frame was set to a streamline. The numerical simulation results showed that the air flow rate and efficiency of optimized extractor were greatly improved. The flow rate and power were selected as evaluation indexes to verify the accuracy of numerical simulation, indicating that the error between the calculated and measured value was about 10%. The experiments related to the impurity rate and cane loss rate were carried out to evaluate the performance of the extractor. The determination of impurity rate showed that the impurity rate of the optimized extractor was similar to the prototype extractor at a high speed (1 650 r/min), but it was significantly lower than that of the prototype extractor at medium (1 350 r/min) and low (1 050 r/min) speed. The determination of cane loss rate show that the cane loss rate of the optimized extractor was similar to that of the prototype extractor at low speed, but the cane loss rate was significantly reduced at medium and high speed.
Keywords:agricultural machinery   harvest   optimization   CFD   impurity rate   loss rate
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