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猪场全量液体粪污流变特性研究及模型构建

Research on rheological properties and model construction of full liquid pig manure

  • 摘要: 针对猪场粪污含固率高、流变行为多变导致的输送能耗高、施肥均匀性差等瓶颈问题,本研究采用单因素与响应面试验,解析猪场全量液体粪污流变特性并优化冬季输送参数。首先通过单因素试验确定了流变行为转变的关键阈值(临界含固率为4.28%,临界剪切速率为158 s-1);进而利用Box-Behnken设计构建修正的响应面模型。结果表明:含固率是主导黏度的核心因素;温度的主效应及其与含固率的交互作用均显著,揭示了低温(5 ℃)对高含固率(>10%)粪污的“增粘放大效应”。基于能耗最小化目标,针对冬季工况(5~15 ℃)优化得出最佳参数:含固率10.0%、温度15.0 ℃、剪切速率136.1 s-1。该剪切速率低于临界值,表明在能效拐点即可获理想降粘效果。研究提出冬季输送应优先维持温度(≥15 ℃)而非单纯增加泵送功率。本研究为粪污输送系统的动力匹配、搅拌设备死区防控以及高含固粪污冬季流动性的持续保障奠定了理论基础。

     

    Abstract: Full-liquid pig manure typically exhibits high total solids (TS) content and complex non-Newtonian flow behavior, which substantially affect the mechanical applicability, transport energy demand, and uniformity of land application. These rheological constraints often hinder the efficiency of manure handling systems, particularly in cold regions where low temperatures exacerbate flow resistance. To address the limitations of traditional analysis and the lack of systematic parameter optimization, this study adopted a stepwise experimental strategy combining single-factor experiments with Response Surface Methodology (RSM) to quantitatively investigate rheological mechanisms and optimize transport parameters. First, single-factor experiments were conducted using TS levels ranging from 0.24% to 15.29%, temperatures from 5 ℃ to 35 ℃, and shear rates from 2 to 600 s-1. Steady-state rheological tests confirmed that pig manure is a typical pseudoplastic fluid. TS was identified as the dominant factor affecting apparent viscosity, with a critical threshold observed at 4.28% TS, marking the transition from weakly non-Newtonian to strongly shear-thinning behavior. Furthermore, a critical shear rate of approximately 158 s-1 was determined based on the rheological curves; beyond this threshold, the flocculent structure of the fluid was fully disrupted, and viscosity approached a stable limit (<10 mPa·s). Building on these preliminary findings, a three-factor, three-level Box-Behnken Design (BBD) was employed to optimize the process specifically for challenging engineering conditions (High TS >10%, Low Temperature 5-15 ℃). A log-transformed quadratic regression model was constructed to accurately predict apparent viscosity. Contrary to previous single-factor observations where temperature effects appeared negligible, the RSM analysis revealed significant main effects of temperature (P<0.01) and a significant interaction between TS and temperature (P< 0.05). The study elucidated a strong concentration-dependent thermal sensitivity: while temperature had minimal effect at low TS, the coupling of low temperature (5 ℃) and high TS (>10%) triggered a "low-temperature locking effect." This phenomenon caused an exponential increase in viscosity due to reduced molecular thermal motion and enhanced hydrogen bonding networks among solid particles. To minimize transport energy consumption while ensuring efficient nutrient loading, numerical optimization was performed under winter operating constraints. The optimal parameters were identified as: TS of 10.0%, temperature of 15.0 ℃, and shear rate of 136.1 s-1. The model's reliability was confirmed by validation experiments, which showed a relative error of less than 5% between predicted and measured values. Notably, the optimized shear rate (136.1 s-1) is lower than the critical value (158 s-1), indicating that ideal viscosity reduction can be achieved at an energy-efficiency inflection point without pursuing excessive rotational speeds. In conclusion, this study quantitatively clarifies the synergistic effects of TS, temperature, and shear rate on manure rheology. The validated model provides a theoretical basis for the precise matching of pump power and mixer design to prevent dead zones. Crucially, it suggests that for winter transport of high-solids manure, implementing heat tracing (maintaining ≥15 ℃) is a more energy-efficient strategy than solely increasing pumping power to overcome the "low-temperature, high-solid" viscosity barrier.

     

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