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变面积抗沉陷步行轮牵引通过性能试验与分析

Traction performance test using variable-area anti-subsidence walking wheel

  • 摘要: 传统车轮在水田泥质土壤中容易出现沉陷、打滑和牵引性能差等问题,严重影响农业装备的作业效率。为此,本文基于工程仿生原理与技术,以绿头鸭的蹼足结构和运动姿态为仿生原型,设计了一种适用于水田土壤的变面积抗沉陷步行轮(变面积步行轮)。搭建轮/足壤运动学与力学测试平台,分别以3种含水率沙土和4种含水率农田土为试验介质,以滑转率、驱动力矩、沉陷量和牵引效率为指标测试,将变面积步行轮与蹼张开和蹼闭合2种结构的仿生步行轮进行对比,分析土壤含水率和步行轮结构对牵引性能的影响规律。试验结果表明:步行轮性能受含水率和结构状态影响显著;变面积步行轮在各含水率工况下综合表现最优,其挂钩牵引力与牵引效率相较于另外两种步行轮最大提升幅度分别可达50%和27.7%;含水率对步行轮性能的影响具有介质依赖性,沙土中含水率增加会提高步行轮的牵引性能,在农田土中则呈现相反规律。最后,通过离散元仿真深入揭示了变面积步行轮与土壤的相互作用关系,给出了变面积步行轮高牵引性能优势关键因素,即通过“触地张开离地闭合”的运动姿态,动态调整面积来提升步行轮的牵引性能。基于牵引特性建立牵引效率与滑转率的关系模型,进一步明确了最优滑转率区间,即沙土作业时控制滑转率在15%~16%,低含水率(2%、10%)农田土作业时控制在16.5%左右,高含水率(20%、30%)农田土作业时控制在25%~32%。该研究可为水田作业机械行走装置的仿生设计与性能优化提供理论依据和技术参考,有助于提升农机在湿软土壤环境中的作业效率与适应性。

     

    Abstract: Conventional agricultural traveling wheels are prone to severe subsidence, continuous slippage and insufficient traction performance when operating on muddy, loose and waterlogged paddy field soil. These inherent technical defects seriously reduce the running stability and operational efficiency of field agricultural machinery, cause serious power loss and unnecessary energy consumption, and greatly restrict the operational flexibility and environmental adaptability of farming equipment in complex wet and soft tillage environments. To solve these prevalent and urgent practical engineering problems in paddy field farming, this study proposes and designs an innovative variable-area anti-subsidence bionic walking wheel specially adapted for paddy field operation based on mature engineering bionic theories and advanced bionic design techniques. Taking the unique physical structure, flexible deformation characteristics and adaptive dynamic movement posture of mallard webbed feet living in wetland environments as the bionic prototype, the newly developed walking wheel is capable of dynamically adjusting its contact area with soil in real time during rotating operation, so as to actively adapt to the complex and variable mechanical properties of different paddy field soil layers. A professional and dedicated wheel-soil kinematics and mechanical test platform was independently built to carry out standardized and controlled comparative performance experiments. Two typical agricultural soil types widely distributed in farmland areas, namely sandy soil with three continuous gradient moisture contents and ordinary farmland soil with four different moisture levels, were selected as test media to fully simulate diverse actual field working conditions and verify the wheel’s universal adaptability. Three typical structural forms of bionic walking wheels, including the variable-area adaptive type, fully expanded webbed type and fully closed webbed type, were tested and compared in this research. Core performance evaluation parameters such as driving torque, soil subsidence depth and effective forward displacement were systematically measured, recorded and analyzed to clarify the internal influence mechanism of soil moisture content and wheel structural state on the comprehensive traction performance of walking wheels. Experimental results indicate that soil moisture content and wheel structural form exert significant interactive coupling influences on the overall working performance, anti-subsidence capacity and traction stability of the walking wheel. The novel variable-area bionic walking wheel presents the best comprehensive performance and environmental adaptability under all matched test conditions. Compared with the other two traditional webbed wheel structures, its maximum drawbar pull and traction efficiency are significantly improved by 50% and 27.7%, respectively. The influence of soil moisture exhibits distinct medium-dependent characteristics: increasing moisture content effectively enhances the traction performance in loose sand while obviously weakening the traction capacity and running stability in cohesive farmland soil. Further discrete element simulation deeply reveals the wheel-soil interaction mechanism, confirming that the superior anti-subsidence and high-traction performance is attributed to its unique adaptive motion strategy of expanding the contact area while touching soil and closing the structure while lifting off. A mathematical correlation model between traction efficiency and slip ratio is established, and the optimal slip ratio ranges suitable for different soil environments are quantitatively clarified. This study provides a solid theoretical basis and valuable technical reference for the bionic design and performance optimization of high-performance paddy field walking devices, which can effectively improve the working efficiency and complex terrain adaptability of modern agricultural machinery in various wet soft soil environments.

     

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