Wang Siqi, Hu Xinyu, Lu Rui, Yan Shuang, Li Yunling, Zhang Daode
College of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei, 430068, China.
College of Mechanical Engineering, Hubei Engineering University, Xiaogan, Hubei, 432000, China.
Sci Rep. 2024 Dec 30;14(1):31597. doi: 10.1038/s41598-024-76771-6.
The defoliation quality of mugwort defoliation equipment is an important factor to measure the defoliation efficiency, and the tensile properties of mugwort petiole will have an impact on the defoliation quality, such as the crushing rate and the abscission rate. In order to reduce the crushing rate and improve the abscission rate during mechanical harvesting of mugwort leaves, the tensile properties of mugwort petiole need to be studied. The tensile properties of mugwort petiole are closely related to its macroscopic and microscopic physicochemical parameters. Therefore, this paper takes Qichun mugwort as the research object, carries out the research on correlation analysis and multivariate nonlinear regression modeling of the tensile properties of mugwort petiole. First, the macroscopic physical parameters of mugwort, the microstructural parameters and the chemical components of mugwort were tested, and the tensile force of mugwort petiole was measured. Then, through the grey correlation and the Pearson correlation analysis, the weight values were determined with tensile properties of the mugwort petiole and each influential factors, and the multivariate nonlinear regression model of the tensile properties of mugwort petiole and its influencing factors was established by the weight values of each influencing factors. Finally, the regression model was verified. The results showed that the model had a goodness of fit of 0.725 to the experimental data, with an average absolute percentage error of 1.9%, a root mean square error of 16.3% and an average absolute error of 13.4%. The accuracy of the tensile properties model is high, which can provide data reference and theoretical basis for the design of mugwort defoliation equipment.
艾草脱叶设备的脱叶质量是衡量脱叶效率的重要因素，艾草叶柄的拉伸性能会对脱叶质量产生影响，如破碎率和脱落率。为了在艾草叶片机械采收过程中降低破碎率并提高脱落率，需要研究艾草叶柄的拉伸性能。艾草叶柄的拉伸性能与其宏观和微观物理化学参数密切相关。因此，本文以蕲春艾草为研究对象，开展艾草叶柄拉伸性能的相关性分析和多元非线性回归建模研究。首先，测试了艾草的宏观物理参数、微观结构参数和化学成分，并测量了艾草叶柄的拉力。然后，通过灰色关联和Pearson相关性分析，确定了艾草叶柄拉伸性能与各影响因素的权重值，并利用各影响因素的权重值建立了艾草叶柄拉伸性能与其影响因素的多元非线性回归模型。最后，对回归模型进行了验证。结果表明，该模型对实验数据的拟合优度为0.725，平均绝对百分比误差为1.9%，均方根误差为16.3%，平均绝对误差为13.4%。拉伸性能模型精度较高，可为艾草脱叶设备的设计提供数据参考和理论依据。
