倾斜柱增强的新型高灵敏度MEMS电容式加速度计的耦合非线性建模

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Omar Akram Saleh Alwazzan , Mohammad Fathalilou , Ghader Rezazadeh
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引用次数: 0

摘要

为了提高电容式微加速度计的灵敏度,研究新的模型、方法和材料一直是研究人员感兴趣的话题。本文提出了一个由倾斜聚二甲基硅氧烷柱组成的微结构间隙增强的新模型。建立了一个复杂的数学模型来描述系统的行为,包括一组耦合的非线性方程。结果揭示了加速度计对正弦和冲击输入的响应。实验证明,该模型能将灵敏度提高四倍以上。调查的一个关键方面是对有微柱和没有微柱的情况进行比较评估,以及微柱数量和倾斜角度的变化。这些发现为这些设计参数对传感器性能的影响提供了有价值的见解,为优化设计奠定了基础,以实现更高的灵敏度和更低的驱动电压。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coupled nonlinear modeling of a novel high-sensitivity MEMS capacitive accelerometer enhanced by tilted pillars
The investigation of novel models, methodologies and materials with the objective of enhancing the sensitivity of capacitive micro-accelerometers represents a topic of enduring interest to researchers. This paper presents a novel model enhanced by a microstructured gap comprising tilted polydimethylsiloxane pillars. A complex mathematical model has been developed to describe the system's behavior, comprising a set of coupled nonlinear equations. The results reveal the accelerometer's response to both sinusoidal and shock inputs. It has been demonstrated that the novel model can enhance sensitivity by more than fourfold. A crucial aspect of the investigation is a comparative evaluation of scenarios with and without micro-pillars, as well as variations in micro-pillars' number and tilt angles. These findings yield valuable insights into the effects of these design parameters on the sensor's performance, laying the groundwork for optimizing the design to achieve heightened sensitivity and reduced actuation voltage.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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