宋占华, 宋华鲁, 耿爱军, 李玉道, 闫银发, 李法德. 棉花秸秆双支撑切割性能试验[J]. 农业工程学报, 2015, 31(16): 37-45. DOI: 10.11975/j.issn.1002-6819.2015.16.006
    引用本文: 宋占华, 宋华鲁, 耿爱军, 李玉道, 闫银发, 李法德. 棉花秸秆双支撑切割性能试验[J]. 农业工程学报, 2015, 31(16): 37-45. DOI: 10.11975/j.issn.1002-6819.2015.16.006
    Song Zhanhua, Song Hualu, Geng Aijun, Li Yudao, Yan Yinfa, Li Fade. Experiment on cutting characteristics of cotton stalk with double supports[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(16): 37-45. DOI: 10.11975/j.issn.1002-6819.2015.16.006
    Citation: Song Zhanhua, Song Hualu, Geng Aijun, Li Yudao, Yan Yinfa, Li Fade. Experiment on cutting characteristics of cotton stalk with double supports[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(16): 37-45. DOI: 10.11975/j.issn.1002-6819.2015.16.006

    棉花秸秆双支撑切割性能试验

    Experiment on cutting characteristics of cotton stalk with double supports

    • 摘要: 针对现有往复式切割器切割收获棉花秸秆过程中存在切割质量差与切割刀片易损坏等问题,该文利用自制的棉花秸秆切割试验台和高速摄影系统,以棉秆单位直径最大切割力和单位面积切割功为目标值,对平均切割速度、切割倾角和切割速比等影响因素进行了棉秆往复式双支撑切割条件下的单因素试验、中心组合试验和验证试验。利用响应面法对中心组合试验数据进行了处理,建立了目标值与各影响因素之间的回归模型,优化了往复式双支撑切割器切割棉花秸秆时的工作参数。试验结果表明,平均切割速度和切割倾角对棉花秸秆单位直径最大切割力和单位面积切割功的影响显著(P<0.01),切割速比影响不显著(P>0.05),但切割速比对棉秆切割截面的质量具有重要影响;当切割速比为1.25和1.5时棉秆一次切断率为85%,比切割速比为1、1.75和2时高出10%~15%,割茬高度比切割速比为1、1.75和2时低10~30 mm;利用往复式双支撑切割器切割棉花秸秆时的工作参数的最佳组合是:平均切割速度为0.9 m/s、切割倾角为12.7°、切割速比在1.25~1.5之间,该条件下的棉秆切割性能目标值的平均实测值与预测值的误差均小于7%,表明棉花秸秆往复式双支撑切割器工作参数的优化结果可靠。该研究为高效、低耗的棉花秸秆切割收获机械装备及其切割器的研制和使用提供参考。

       

      Abstract: In order to explore the effect of the reciprocating cutter's working parameters on cutting characteristics of cotton stalk as well as to optimize the working parameters of the reciprocating cutter, the cutting tests of cotton stalk under the double support condition were performed with a self-developed cutting test bench of cotton stalk. The samples were the ripe cotton stalks with the diameter of 11.7-13.2 mm and the moisture content of 31%-37%. The main test equipment included the self-developed cutting test bench of cotton stalk, a high-speed camera system and a digital camera. The self-developed cutting test bench of cotton stalk consisted of 3 parts: A header, a feeding device and a measurement control system. The cutting tests were grouped into the single factor tests, the response surface tests and the verifying tests. The testing factors were average cutting velocity (ranging from 0.6-1.0 m/s), cutting inclination angle (ranging from 3°-23°) and ratio of cutting velocity to feeding velocity (ranging from 1-2), and 5 levels was set for each factor. The response surface testing scheme designed with the central composite design (CCD) method was a three-factor five-level testing scheme. The response surface analysis method was used to analyze the testing dates and to optimize the working parameters of the cotton stalk reciprocating cutter. The results from the tests showed that the change trends of the objective values (the maximum cutting force per unit diameter and the cutting power per unit cutting area) with the changes of the testing factors were basically consistent with the results of the single factor tests. The effects of the average cutting velocity and the cutting inclination angle on the objective values were significantly different (P<0.01), and the effect of the ratio of cutting velocity to feeding velocity on the objective values was not significantly obvious (P>0.05), but its effect on the morphological structure of the cutting section of the stubble was significantly different. When the ratio of cutting velocity to feeding velocity ranged from 1.25 to 1.5, it was observed that the cotton stalk could be completely cut off by means of the high-speed camera system ant the cutting section was even and smooth, therefore, the quality of the cutting section was the best in the ratio range of from 1.25 to 1.5. It was concluded that the optimal combination of the working parameters of the reciprocating cutter for cutting cotton stalk was as follows: the average cutting velocity of 0.9 m/s, the cutting inclination angle of 12.7°, the ratio of cutting velocity to feeding velocity ranging from 1.25 to 1.5. According to the results from the response surface tests, a regression model was established, which described the cutting characteristics of cotton stalk under the double supports. On the basis of the results of the verifying tests, it was found that the results from the regression model were well consistent with the optimal results obtained from the response surface tests. Therefore, the regression model was fit under the experimental conditions. The results of this research can provide technical support for not only developing a cotton stalk cutter, but also designing the equipment with high efficiency and low energy consumption for harvesting hard stalk.

       

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