惯性放大作为一种性能增强方法,用于快速通过式振动能量收集器

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2024-10-02 DOI:10.1016/j.apm.2024.115734
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引用次数: 0

摘要

近年来,人们对利用快穿系统的双稳态行为从振动源获取能量产生了浓厚的兴趣。任何双稳态 VEH 的高效运行都取决于其表现出大振幅井间运动的能力。在微弱的环境激励下,双稳态 VEH 的性能微乎其微,因为运动被限制在单个井内。频率上变频、多稳定性和自适应技术是为双稳态 VEH 提出的一些性能增强策略。考虑到 VEH 的空间限制,上述设计在实际应用中很难实现。本研究引入了惯性放大机制(IAM),作为一种简单的被动策略来增强快穿式 VEH 的性能,这是以往研究中没有探讨过的概念。增加惯性放大装置可在不增加物理质量的情况下提高有效质量,从而增强能量收集,尤其是来自微弱环境激励源的能量。在谐波和随机激励下,我们对增强型快穿式 VEH 的动力学和性能进行了分析和数值研究。谐波平衡法(HBM)得出了频率-幅值关系,并显示出硬化行为和带宽的增加。有效势能法提供了联合概率密度函数(Joint PDF)的闭合形式表达式,该函数受福克-普朗克方程支配。随着几何参数值的增加,联合概率密度函数从双峰型过渡到单峰型。随机平均法用于获得静态概率密度函数,该函数定义了 VEH 的长期动态。研究了噪声强度、质量比和惯性放大器角度对动力学的影响。最后,在谐波和随机激励条件下,将所提出的 VEH 的性能与传统的快穿式 VEH、等效线性 VEH 和多稳态 VEH 进行了比较。研究结果表明,与线性和多稳态非线性 VEH 相比,带有 IAM 的快速通过式 VEH 在从低强度谐波和随机激励源中提取能量方面更具优势。这种简单的增强策略保留了原始系统的双稳态性,无需复杂的多稳态 VEH 设计。
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Inertial amplification as a performance enhancement method for snap-through vibration energy harvester
In recent years, there has been a lot of interest in exploiting the bistable behavior of snap-through systems to harvest energy from vibration sources. The efficient operation of any bistable VEH depends on its ability to exhibit large-amplitude interwell motion. Under weak ambient excitation, bistable VEH performs marginally because of the confinement of motion to a single well. Frequency up-conversion, multi-stability, and adaptive techniques are some of the performance enhancement strategies suggested for bistable-VEH. Considering the VEH's space constraints, the above designs are hard to implement in practical cases. This study introduces an inertial amplification mechanism (IAM) as a simple passive strategy to enhance the performance of a snap-through VEH, a concept not explored in previous studies. The addition of IAM increases the effective mass without increasing the physical mass and thereby enhances energy harvesting, especially from weak ambient excitation sources. The dynamics and performance of the enhanced snap-through VEH are investigated analytically and numerically under harmonic and random excitations. The harmonic balance method (HBM) derives the frequency-amplitude relationship, which shows a hardening behavior and an increase in bandwidth. The effective potential method provides a closed-form expression for the joint probability density function (Joint PDF), which is governed by the Fokker-Planck equation. The joint PDF shows a transition from bimodal to unimodal with an increase in the value of the geometrical parameter. The stochastic averaging method is employed to obtain the stationary probability density function, which defines the long-term dynamics of the VEH. The effects of noise intensity, mass ratio, and inertial amplifier angle on the dynamics are investigated. Finally, the performance of the proposed VEH is compared with a conventional snap-through VEH, an equivalent linear VEH, and a multistable VEH under harmonic and random excitation conditions. The findings suggest that the snap-through VEH with the IAM has advantages over the linear and multistable nonlinear VEH in terms of extracting energy from low-intensity harmonic and random excitation sources. This simple augmentation strategy preserves the original system's bistability, eliminating the need for the complex design of a multistable VEH.
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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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