摘要
针对耙齿式残膜回收机收膜率低下及漏膜严重的问题,运用Box-Benhnken的中心组合试验方法对残膜回收机收膜机构的工作参数进行试验研究,以耙齿曲率半径、耙齿入土角度、耙齿间距为影响因素,以拾膜率、漏膜率为试验指标进行3因素3水平的响应面试验。建立响应面数学模型,分析各影响因素对作业质量的影响,同时对影响因素进行综合优化。试验结果表明:拾膜率影响显著顺序依次为耙齿曲率半径、耙齿入土角度、耙齿间距;漏膜率影响显著顺序依次为耙齿入土角度、耙齿间距、耙齿曲率半径;最优工作参数组合为,耙齿曲率半径195mm、耙齿入土角度60°、耙齿间距110mm,对应的收膜率和漏膜率分别为94.7%、0.75%,且各性能指标和理论优化值相对误差均小于5%。研究结果可为耙齿式残膜回收机收膜机构的结构完善设计和作业参数优化提供依据。
In order to improve the work quality of the film receiving mechanism of rake teeth type residual film recovery machine,increase film receiving mechanism in the film picking rate and reduce the leakage rate of film, Box-Benhnken central composite test method was adopted to test parameters of the film receiving mechanism of residual film recovery machine by taking tooth curvature radius, buried rake angle, tooth pitch as influencing factors. And response surface experiment was conducted on three factors and three levels by using the picking up rate of film and leakage rate of film for index test as experimental index. The mathematical model of response surface was established, and the influence factors on the quality of work was analyzed, and optimized. The results showed that the order of significant level of effectors was tooth curvature radius, buried rake angle and tooth pitch;And the order of significant level of effectors on membrane leakage rate was buried teeth angle, tooth pitch, and the curvature radius of the tooth;The optimal parameter combination for the curvature radius is tooth 195 ram, harrow penetration angle 60;, tooth spacing 110 mm, corresponding film collecting rate and membrane leakage rate reached 94. 7% and 0. 75%, respectively. The performance and theory optimization values of relative error was less than 5%. The study provides basis for the film receiving mechanism of tooth type residual film recycling machine improvement and operating parameters optimization.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2017年第5期90-98,共9页
Journal of China Agricultural University
基金
公益性行业(农业)科研专项(201503105_08)
关键词
耙齿式
收膜机构
数学模型
响应曲面
优化
tooth type
film receiving mechanism
mathematical model
response surface
optimization