郭文斌, 王志鹏, 候智博, 胡凡, 王春光, 齐文静. 秸秆-薯渣混合物料应力松弛分数阶模型的建立及参数分析[J]. 农业工程学报, 2021, 37(13): 284-290. DOI: 10.11975/j.issn.1002-6819.2021.13.032
    引用本文: 郭文斌, 王志鹏, 候智博, 胡凡, 王春光, 齐文静. 秸秆-薯渣混合物料应力松弛分数阶模型的建立及参数分析[J]. 农业工程学报, 2021, 37(13): 284-290. DOI: 10.11975/j.issn.1002-6819.2021.13.032
    Guo Wenbin, Wang Zhipeng, Hou Zhibo, Hu Fan, Wang Chunguang, Qi Wenjing. Parameter analysis and development of fractional calculus model for stress relaxation of cornstalk and potato residues[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(13): 284-290. DOI: 10.11975/j.issn.1002-6819.2021.13.032
    Citation: Guo Wenbin, Wang Zhipeng, Hou Zhibo, Hu Fan, Wang Chunguang, Qi Wenjing. Parameter analysis and development of fractional calculus model for stress relaxation of cornstalk and potato residues[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(13): 284-290. DOI: 10.11975/j.issn.1002-6819.2021.13.032

    秸秆-薯渣混合物料应力松弛分数阶模型的建立及参数分析

    Parameter analysis and development of fractional calculus model for stress relaxation of cornstalk and potato residues

    • 摘要: 为更加精确地解析农业松散物料压缩时表现出的应力松弛行为及松弛后的成型效果,简化应力松弛模型并获得更加直观的应力松弛特征参数,该研究将Riemann-Liouville分数阶微积分理论引入农业松散物料流变学特性研究中,以农业生产后残留的玉米秸秆与马铃薯废渣为研究对象,推导建立了用于描述秸秆-薯渣混合物料应力松弛特征的分数阶模型,并以松弛比与松弛时间比率为试验指标,完成了混合物料在不同压缩密度下的应力松弛试验,利用所建立分数阶模型对应力松弛试验曲线进行了拟合回归分析,并与广义Maxwell模型的拟合结果进行了对比与参数相关分析。结果表明:1)分数阶模型可准确描述秸秆与薯渣混合物料的应力松弛过程,其对松弛曲线的拟合精度高于五元件广义Maxwell模型,决定系数R2介于0.996 4~0.999 5之间。2)分数阶模型仅有两个模型参数,分数阶阶数β与粘弹性系数K,其中β与应力松弛后残留弹性的占比、松弛比均极显著负相关,可直接用于表征物料松弛后的永久变形程度,预测其成型效果;K与弹性模量及粘性系数、松弛时间比率均极显著正相关,可用于表征混合物料的粘弹性特征及其应力松弛快慢程度。该研究成果推动了分数阶微积分理论在农业松散物料流变学特性研究领域的应用,通过分数阶模型建立了秸秆-薯渣混合物料的应力松弛特性与成型效果的联系,可为进一步改进农业松散物料成型方法、获取最佳成型条件提供依据。

       

      Abstract: Accurate characterization of stress relaxation in loose materials can greatly contribute to reducing energy consumption of briquetting, while improving the quality of briquettes in modern agriculture. Thus, rheological tests and data fitting were often utilized to optimize the parameters in different models. However, a relatively large number of parameters are contained in the current stress relaxation models, failing to fully describe the permanent deformation. This study aims to improve the fitting accuracy of the stress relaxation model, while reducing the number of model parameters, particularly for better representing the parameters related to the permanent deformation of loose agricultural materials. A simple stress relaxation model was also proposed using fractional calculus to describe the stress relaxation behavior of cornstalk mixing with potato residues. Cornstalk and potato residues were mixed in a weight ratio of 1:3. The cornstalk was cut into pieces < 3mm and dried naturally to a moisture content of (4±0.1)%, whereas, the potato residue was dehydrated to a moisture content of (65±1)%, and then collected from a starch processing factory. A stress relaxation test was conducted to acquire stress-time curves under five compression densities (700-1 100 kg/mm3) using a self-developed adjustable compression device mounted on a universal testing machine. The stress-time curves illustrated that there was obvious stress relaxation behavior in the mixture of cornstalk and potato residues when compressed. A Generalized Maxwell model and a fractional model were proposed to evaluate the parameters using curve fitting and regression analysis. The results indicated that the fractional model presented a better fitting accuracy than the Generalized Maxwell model, where the coefficients of determination were between 0.996 4-0.999 5. Moreover, there were only two undetermined parameters (K and β) in the fractional model, less than the parameters (elastic modulus E1, E2, Ee and viscosity coefficients η1, η2) in the Generalized Maxwell model. Thus, the fractional model was expected to more accurately and briefly represent the stress relaxation behavior of the mixture, compared with the Generalized Maxwell model. Additionally, correlation analysis showed that K was significantly correlated with E1, E2, Ee, η1, η2, and thus K was expected to serve as a key coefficient for the viscoelastic characteristic of mixed materials. In the fractional order, β was significantly correlated with the ratio of equilibrium modulus Ee to total modulus E0, and thus β was used to describe the proportion of residual elasticity with respect to total elasticity, representing the permanent deformation of mixed materials. The relaxation ratio Sr and relaxation rate St were also calculated to verify the physical meanings of K and β, together with the connection with K and β. It was found that β was significantly negatively correlated with , whereas, K was significantly positively correlated with St. It further proved that the fractional model can be used to describe the permanent deformation degree of mixed material after stress relaxation. Consequently, the fractional model successfully represented the stress relaxation behavior of cornstalk mixing with potato residues, where the obtained parameters fully represent the degree of permanent deformation. The finding can provide both potential theoretical and practical significance to analyze the briquetting mechanism, and improve the briquetting process of loose agricultural materials.

       

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