一种新型三维力传感器结构设计与优化  

Design and Optimization of a Novel Three-Axis Force Sensor

作　　者：郭飞[1] 卢朋 李立建 

机构地区：[1]华北水利水电大学,河南 郑州

出　　处：《机械工程与技术》2022年第6期635-646,共12页Mechanical Engineering and Technology

摘　　要：针对特定领域对一维力和二维力矩的测量需求,本文提出一种基于并联结构的对称布置装配式三维力传感器弹性体结构,利用Solidworks软件建立传感器的三维模型,并基于Workbench软件的响应面优化和拓扑优化模块对传感器简化模型进行优化设计。首先,对所提出的三维力传感器弹性体结构特点及关键部件进行详细描述,提炼出传感器弹性体结构的关键设计参数。接着,通过制定优化目标和约束条件,利用中心组合设计实验法对传感器弹性辐板的结构尺寸参数进行优化,得到了传感器关键参数对其性能的影响及最佳优化参数组;最后,为进一步提升传感器性能和降低重量对其性能的影响,利用拓扑优化对传感器的测力平台和固定平台进行了轻量化设计。结果表明:优化前后,传感器虽变形量增加约6.25%和20%,但灵敏度明显增加,期望应变分别增加257%和293%,总体质量减少9.4%。本文的研究结果将为多分量力传感器的结构设计与优化提供有益指导。This work suggests a symmetrically formed three-dimensional force sensor elastic body construc-tion based on a parallel structure to address the measurement needs of one-dimensional force and two-dimensional moment in a particular field. The design of the streamlined sensor model is opti-mized by the optimization and topology optimization module. The key design parameters of the proposed three-dimensional force sensor elastomer are derived after a detailed description of its structural properties and essential parts. The structural size parameters of the elastic web of the sensor are then improved using the center combination design experiment method, and the effect of the key sensor parameters on performance as well as the best optimization parameter group are discovered. And finally, to further enhance the sensor’s force-measuring platform and fixed plat-form were made lightweight via topology optimization, and the performance of the sensor and the effect of weight reduction on its performance were examined. The findings indicate that although the sensor’s deformation increases by roughly 6.25% and 20% before and after optimization, the sensitivity greatly rises, the anticipated strain rises by 257% and 293%, and the overall mass falls by 9.4%. The findings of this research will be helpful in optimizing the structural design of mul-ti-component force sensors.

关 键 词：传感器性能 Workbench软件 三维力传感器 并联结构 弹性体结构 结构设计与优化 拓扑优化 固定平台 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]