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花生摘果关键作业参数对荚果内部损伤形成的影响机制与优化分析

Impact mechanism and optimization analysis of key operational parameters on internal damage formation in peanut picking

  • 摘要: 花生机械摘果过程中荚果内部损伤是制约收获质量的关键问题。通过理论建模、数值仿真与试验验证,构建融合力学、运动学与能量传递的跨尺度分析模型,揭示滚筒转速与摘果间隙对内伤形成的影响机理。基于赫兹接触理论,定量揭示冲击力与相对速度的6/5次幂关系;建立动坐标系下植株运动方程,通过抛掷指数划分物料运动模式;构建能量传递模型阐明机械能向损伤能转化的临界条件。单因素分析表明,滚筒转速通过改变冲击强度与碰撞频率调控损伤,在7.5~9.0 rad/s优化区间内,摘果效率>94%、内伤率<8%;摘果间隙通过调节挤压应力影响损伤,取荚果特征尺寸 85%~90%(9.0~11.5 mm)时,摘净率>96.5%、内伤率<7%。台架试验验证了模型有效性,最优参数组合处仿真与试验相对误差<8%。该研究提出的优化区间基于直径600 mm钉齿式滚筒与品种花育22号(含水率18%~22%)得出,实际应用时应随机型、品种、含水率动态调整。

     

    Abstract: Internal pod damage during mechanical peanut picking is a critical issue that constrains harvesting quality.Through theoretical modeling, numerical simulation, and experimental validation, a cross-scale analytical model integrating mechanics, kinematics, and energy transfer has been constructed to reveal mechanisms by which drum rotational speed and pod-picking clearance affect internal injury formation.Based on Hertzian contact theory, a quantitative relationship between impact force and relative velocity to power of 6/5 dependence has been established.A motion equation for plant in a moving coordinate system has been formulated, and material motion modes was classified through throwing index.An energy transfer model has been developed to clarify critical conditions for mechanical energy conversion into damage energy.Single-factor analysis has revealed that drum rotational speed regulated damage by altering impact intensity and collision frequency; within optimized range of 7.5 to 9.0 rad/s, picking efficiency exceeded 94% and internal injury rate was less than 8%.Picking clearance influenced damage by adjusting compressive stress; when set to 85% to 90% of pod's characteristic size(9.0 to 11.5 mm), clean picking rate was over 96.5% with an internal injury rate below 7%.Bench tests have validated model's effectiveness, with a relative errors below 8% between simulation and experimental results at optimal parameter combination.Proposed optimization ranges were derived based on a 600 mm diameter nail-tooth drum and Huayu No.22 peanut variety(moisture content 18% to 22%).Dynamic adjustments should be made according to machinery type, cultivar, and moisture content during practical application.

     

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