Simulation-Based Optimization of a Non-Uniform Piezoelectric Energy Harvester with Stack Boundary

IF 3.4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY International Journal of Mechanical and Materials Engineering Pub Date : 2019-06-03 DOI:10.5281/ZENODO.3300616
Alireza Keshmiri, Shahriar Bagheri, N. Wu
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引用次数: 1

Abstract

 Abstract — This research presents an analytical model for the development of an energy harvester with piezoelectric rings stacked at the boundary of the structure based on the Adomian decomposition method. The model is applied to geometrically non-uniform beams to derive the steady-state dynamic response of the structure subjected to base motion excitation and efficiently harvest the subsequent vibrational energy. The in-plane polarization of the piezoelectric rings is employed to enhance the electrical power output. A parametric study for the proposed energy harvester with various design parameters is done to prepare the dataset required for optimization. Finally, simulation-based optimization technique helps to find the optimum structural design with maximum efficiency. To solve the optimization problem, an artificial neural network is first trained to replace the simulation model, and then, a genetic algorithm is employed to find the optimized design variables. Higher geometrical non-uniformity and length of the beam lowers the structure natural frequency and generates a larger power output. a parametric study for the energy harvester with different design parameters simulation-based optimization technique used to the optimization an artificial neural computationally simulation model bigger genetic values of the design variables. This paper presents a design and analytical model for energy harvesting applications. In addition, a simulation-based optimization technique is utilized to find the optimum
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基于仿真的非均匀叠加边界压电能量采集器优化设计
摘要:本文基于Adomian分解方法,提出了一种基于边界叠加压电环的能量采集器的分析模型。将该模型应用于几何非均匀梁,推导出结构在基底运动激励下的稳态动力响应,并有效地获取后续的振动能量。利用压电环的面内极化来提高电功率输出。对所提出的能量采集器进行了不同设计参数的参数化研究,以准备优化所需的数据集。最后,基于仿真的优化技术有助于找到效率最高的结构优化设计。为了解决优化问题,首先训练一个人工神经网络来代替仿真模型,然后使用遗传算法来寻找优化的设计变量。较高的几何非均匀性和梁的长度降低了结构的固有频率,产生了较大的功率输出。针对能量采集器不同设计参数的参数化研究,采用基于仿真的优化技术对设计变量遗传值较大的人工神经计算仿真模型进行优化。本文提出了一种能量收集应用的设计和分析模型。此外,利用基于仿真的优化技术寻找最优解
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来源期刊
CiteScore
8.60
自引率
0.00%
发文量
1
审稿时长
13 weeks
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