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基于响应面法的棉秆压捆试验研究
引用本文:廖培旺,王仁兵,宫建勋,刘凯凯,张爱民,李伟.基于响应面法的棉秆压捆试验研究[J].中国农机化学报,2021,42(10):112.
作者姓名:廖培旺  王仁兵  宫建勋  刘凯凯  张爱民  李伟
作者单位:滨州市农业机械化科学研究所;
基金项目:山东省重点研发计划项目(2017NC212005) 山东省农业重大应用技术创新项目(SD2019NJ002)
摘    要:针对棉秆压缩打捆密度低、压缩打捆装备可靠性差等问题,采用设计的棉秆压捆试验平台,将棉秆含水率、棉秆切断长度、棉秆喂入量和压缩活塞压缩频率作为试验因素,以压缩活塞端面压力、压缩室压力和棉秆压捆密度作为试验性能指标进行棉秆压缩打捆单因素和中心组合试验,建立各试验因素和试验性能指标之间的回归方程,确定各试验因素对性能指标的影响规律,并进行优化计算,对优化结果进行试验验证。结果表明:棉秆压缩打捆的最优组合为棉秆含水率30%,棉秆切断长度25 cm,棉秆喂入量2.15 kg/s,压缩活塞压缩频率110次/min,压缩活塞端面压力13.84 kN,压缩室压力3.36 kN,棉秆打捆密度145.83 kg/m~3,为棉秆压缩打捆机械的设计提供理论指导。

关 键 词:棉秆压捆  试验平台  单因素  响应面法  模型验证  参数优化  

Research of cotton stalk baling test based on response surface method
Abstract:Given the low density of cotton stalk compression baling and the poor reliability of compression baling equipment, the single factor and central combination tests of cotton stalk compression baling were carried out using the designed baling test bench of cotton stalk. In the test, cotton stalk moisture content, cotton stalk cutting length, cotton stalk feed amount, and compression piston compression frequency were taken as the test factors. The compression piston end face pressure, compression chamber pressure, and baling density of cotton stalk were taken as the test performance indexes. The regression equation between each test factor and test performance index was established. The influence rule of each test factor on the performance index was determined, optimization calculation was carried out, and the optimization results were verified by the tests. The results showed that the optimal combination of cotton stalk compression baling had cotton stalk moisture content of 30%, cotton stalk cutting length of 25 cm, cotton stalk feed amount of 2.15 kg/s, compression piston compression frequency of 110 times/min, compression piston end pressure of 13.84 kN, compression chamber pressure of 3.36 kN, and cotton straw baling density of 145.83 kg/m3, which provided theoretical guidance for the design of cotton stalk compression and baling machine.
Keywords:cotton stalk baling  test platform  single factor  response surface method  model validation  parameter optimization
  
  
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