基于ANSYS的称重传感器弹性体结构参数优化
Optimization of Elastomer Structure Parameters of Load Cell Based on ANSYS

为提升称重传感器的动态响应能力，本文通过结构参数优化仿真调整现有模型关键尺寸，增强其动态性能。首先，建立弹性体的数学模型，通过Matlab仿真其传递函数，研究固有频率与动态响应之间的关系。随后，根据实际工况，完成了弹性体的结构设计，利用ANSYS软件建立了仿真模型，通过静力学和模态仿真获得最大等效应变值和二阶固有频率，为优化设计提供初始方案数据。进一步，利用ANSYS优化设计模块对仿真模型进行了结构参数优化，通过仿真响应曲面分析输入参数对优化目标的影响，并确定了最佳优化方案。仿真优化结果表明：与初始方案相比，优化后的弹性体固有频率提高了1.82%，增强了传感器的动态响应能力和稳定性。
In order to improve the dynamic response ability of the load cell, this paper adjusts the key dimensions of the existing model through structural parameter optimization simulation to enhance its dynamic performance. Firstly, the mathematical model of elastic body is established, and its transfer function is simulated by Matlab to study the relationship between natural frequency and dynamic response. Then, according to the actual working conditions, the structural design of the elastomer is completed, the simulation model is established by ANSYS software, and the maximum equivalent strain value and second-order natural frequency are obtained by statics and modal simulation, which provides initial scheme data for optimal design. Furthermore, the structural parameters of the simulation model are optimized by ANSYS optimization design module, and the influence of input parameters on the optimization target is analyzed by simulation response surface, and the best optimization scheme is determined. The simulation results show that the natural frequency of the optimized elastomer is increased by 1.82% compared with the original scheme, and the dynamic response capability of the sensor is enhanced.