1. 北京理工大学 先进结构技术研究院,北京,100081
2. 西安交通大学 仪器科学与技术学院, 西安,西安,710049
纸质出版:2026
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王纪元, 李洁, 王琛英, 等. MEMS多维力传感器结构设计与优化[J]. 传感器与微系统, 2026,45(4):112-117.
WANG Jiyuan, LI Jie, WANG Chenying, et al. Structural design and optimization of MEMS multi-axis force sensor[J]. 2026, 45(4): 112-117.
针对MEMS多维力传感器在六维测量中存在的量程有限与过载能力不足的问题,提出一种基于蛇形梁结构的优化设计方法。通过提取蛇形梁的线径与圆弧外径比值、单元角度及径宽比等关键特征参数,建立参数化有限元模型,并采用多目标遗传算法对刚度和应力进行协同优化。优化后的传感器结构在最大应力不超过500MPa的条件下,产生1μm位移时,力测量量程达到4~10N,显著优于常见设计指标。仿真结果表明,该方法在多个构型中均能有效实现刚度提升与应力集中的协同控制,为高性能MEMS多维力传感器的设计提供了可靠方法。
Aiming at the problems of limited range and insufficient overload capacity in six-axis measurement of MEMS multi-axis force sensors
an optimized design method based on a serpentine beam structure is proposed.Key characteristic parameters such as the ratio of the serpentine beam’s line diameter to the arc outer diameter
unit angle
and diameter-width ratio are extracted to establish a parametric finite element model.A multi-objective genetic algorithm is employed for the collaborative optimization of stiffness and stress.The optimized sensor structure achieves a force measurement range of 4~10N when a displacement of 1μm is generated
under the condition that the maximum stress does not exceed 500MPa
which is significantly superior to common design indicators.Simulation results demonstrate that the proposed method effectively achieves the coordinated control of stiffness improvement and stress concentration in multiple configurations
providing a reliable approach for the design of high-performance MEMS multi-axis force sensors.
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