To improve the monitoring accuracy of grain loss sensors, an optimised structure for grain loss sensors was designed. First, stainless steel 304, copper plate and aluminum T6 were selected as potential materials for sensitive plates, and the collision signal characteristics with these different materials were studied in detail. Then, the relationship between the damping ratio and collision response was studied. The detection revolution was improved significantly by integrating viscoelastic damping layers into the sensitive plate. An optimal passive vibration isolation structure was designed to reduce the effect of vibrations on collision signals. Finally, field tests were performed, and the results revealed that the relative error was ≤ 3.46%.

中文翻译：

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基于DEM模拟和结构优化选择合适的谷物损失传感器材料以提高监测能力

为提高粮食损失传感器的监测精度，设计了粮食损失传感器的优化结构。首先，选择不锈钢304、铜板和铝T6作为敏感板的潜在材料，并详细研究了这些不同材料的碰撞信号特性。然后，研究了阻尼比与碰撞响应之间的关系。通过将粘弹性阻尼层集成到敏感板中，检测革命得到了显着改善。优化的被动隔振结构旨在减少振动对碰撞信号的影响。最后进行了现场试验，结果表明相对误差≤3.46%。