Recent advances in the field of low-power electronic components production have spurred research in energy harvesting. Ambient sound can be used as a source of energy, and the material through which the sound is emitted can affect the harvested energy. Improving the efficiency of energy harvesting from ambient sound has become a hot topic. Phononic crystals and acoustic metamaterials enhance the harvesting efficiency of piezoelectric materials when deformed by sound waves. The material properties of phononic crystals and acoustic metamaterials can also affect noise control. In this paper, we aim to elaborate on different types of phononic crystals and metamaterials, such as the defect mode metamaterial, Gradient Index (GRIN) system, and topological metamaterial, based on their attractive attributes in the energy harvesting field that show promising phenomena compared to conventional metamaterials. We also summarize the advantages and challenges of these structures and provide some suggestions for future research, such as optimizing the geometry, exploring the potential of topological metamaterials, and combining different mechanisms. The classification proposed in this paper aims to provide a convenient reference for researchers involved in this field, open new horizons, and provide insights for further exploration. 

From Defect Mode to Topological Metamaterials: A State-of-the-Art Review of Phononic Crystals & Acoustic Metamaterials for Energy Harvesting

Nonlinear dynamic characteristics of the multistable wake-galloping energy harvester

The energy consumption of a heating, ventilation, and air conditioning (HVAC) system represents a large amount of the total for a commercial or civic building. In order to optimize the system performance and to increase the comfort of people living or working in a building, it is necessary to monitor the relevant parameters of the circulating air flux. To this end, an array of sensors (i.e., temperature, humidity, and CO2 percentage sensors) is usually deployed along the aeraulic ducts and/or in various rooms. Generally, these sensors are powered by wires or batteries, but both methods have some drawbacks. In this paper, a possible solution to these drawbacks is proposed. It presents a wireless sensor node powered by an Energy Harvesting (EH) device acted on by the air flux itself. The collected data are transmitted to a central unit via a LoRa radio channel. The EH device can be placed in air ducts or close to air outlets.

Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device

Modelling and harnessing energy from flow-induced vibration, particularly VIV and galloping: An explicit review

In recent years, acoustic black holes (ABHs) have been revealed as an effective bending wave control technology and widely used to regulate the vibration and noise reduction performance of plate structure. However, the isolation effect of most traditional ABH plate can only be aroused at frequencies above the cut-off frequency. In order to widen the frequency range of the ABH effect, this paper embedded single and multiple ABH indentations at the end of plate. For the forced vibration response of the ABH indentation plate, an analytical wave propagation model was proposed based on the symplectic method. The governing equations of bending vibration of thin plate was first introduced into the symplectic dual system, then the symplectic analytical solution of wave propagation parameters and waveforms were obtained. A Gaussian-discretization scheme was used to discretize the ABH indentation, whereas the proposed method was used to evaluate the wave amplitude. The vibration response was finally obtained using the superposition principle and wave propagation, reflection, and transmission relationships. The effectiveness of the proposed method was verified using the finite element results. The results showed that the ABH indentation plate, especially the plate with multiple ABH indentations, had significant vibration reduction performance. Considering that embedding ABH indentation can weaken the structural rigidity of the plate, the ABH indentation plate with reinforcing stiffeners was then proposed to alleviate this limitation, and the influence of the width and quantity of reinforcing stiffeners on the vibration response was studied. The results indicated that the increase of width will to some extent weaken the ABH effect, and the quantity of stiffeners had a significant impact on the ABH effect. 

A symplectic analytical wave propagation model for forced vibration of thin plate with acoustic black hole indentation

An acoustic black hole (ABH) has been applied in the regulation of structural performance to form the aggregation effect of elastic waves in the local area of the structure, which has been used in energy harvesting in recent years. The piezoelectric vibration energy harvester (VEH) integrated with the beam of a bilateral periodic 1D ABH is proposed in this study. The theoretical model of the proposed VEH is established and analyzed based on the transfer matrix method. The performance of the VEHs is numerically simulated by COMSOL Multiphysics. The simulation results show that the performance of the bilateral ABH beam is higher than its traditional counterpart. Finally, the performance of the proposed VEH is validated in an experimental system. The experimental results show that the peak output voltage of the VEH Model 3 can reach 169.16 V, which is 1.9 times that of the traditional one. In the optimal impedance matching, the output power of the third bilateral VEH is 2.7 times that of the traditional ABH, which can reach 91.52 mW.

https://www.mdpi.com/2076-3417/13/11/6423/pdf?version=1685071034

Vibration Energy Harvester Based on Bilateral Periodic One-Dimensional Acoustic Black Hole

In this work, two Cu-Al-Mn shape memory alloys (SMAs), Cu-12.5Al-3Mn and Cu-12.5Al-3Mn-1Ni, were prepared by wire arc melting deposition, and their shape recovery rates, ultimate recoverable strains, additive manufacturing microstructures, memory recovery behaviors, and phase transition properties were comparatively investigated. Meanwhile, the mechanism of Ni in these two alloys was discussed by combining the differences in phase composition of the two alloys. Results showed that the shape recovery rate of Cu-12.5Al-3Mn alloy decreased linearly with increasing pre-strain, from 91.23% at 4% pre-strain to 62.41% at 10% pre-strain, and its ultimate recoverable strain was approximately 7%; while the shape recovery rate of Cu-12.5Al-3Mn-1Ni SMA was 100% at 4%-8% pre-strain, and remained at 96.57% until the pre-strain was increased to 10%, i.e., the recoverable strain was more than 9%. In addition, the phase change temperature of the alloy with Ni addition decreased compared to that of the alloy without Ni addition, especially the temperature hysteresis was narrower. The results indicate the formation of a new κ phase after adding Ni to the alloy. The pinning effect of this new phase significantly improves the order of martensite within the alloy. Moreover, Ni also induces the transformation of the alloy, inhibiting the precipitation of the brittle phase γ2 and leading to a marked increase in the shape memory recovery rate and the recoverable strain of the additively fabricated Cu-Al-Mn alloy. Note that Ni transforms the alloy from hyper-eutectoid components to eutectoid components. Moreover, after adding Ni, the thermoelastic martensite phase transition temperature and temperature hysteresis decreased together with its eutectoid temperature, which made the additive manufacturing Cu-Al-Mn SMA exhibit an explosive response behavior. 

Comparison of shape memory properties between Cu-12.5Al-3Mn and Cu-12.5Al-3Mn-1Ni produced by additive manufacturing technology

Fluid-induced vibration is a common phenomenon in fluid–structure interaction. A flow-induced vibrational energy harvester based on a corrugated hyperstructure bluff body which can improve energy collection efficiency under low wind speeds is proposed in this paper. CFD simulation of the proposed energy harvester was carried out with COMSOL Multiphysics. The flow field around the harvester and the output voltage in different flow velocities is discussed and validated with experiments. Simulation results show that the proposed harvester has an improved harvesting efficiency and higher output voltage. Experimental results show that the output voltage amplitude of the harvester increased by 189% under 2 m/s wind speed.

/pdf/exploring-the-potential-of-flow-induced-vibration-energy-imr6c10x.pdf

Exploring the Potential of Flow-Induced Vibration Energy Harvesting Using a Corrugated Hyperstructure Bluff Body

In this paper, a piezoelectric energy harvester based on periodic one-dimensional acoustic black holes (ABH) is proposed to improve efficiency. The harvesting performance of the energy harvester with different ABH-structures was numerically simulated through the commercial software, COMSOL Multiphysics. Finally, an experimental platform was set up to test several energy harvester samples. The results show that the energy aggregation effect of the bilateral ABH beam is better than that of the traditional ABH beam. In the optimal impedance matching, the maximum output power of the energy harvester with bilateral ABH type 3 is 112 mW, which is 2.8 times that of the energy harvester with traditional ABH. The simulation and experimental results show that the energy harvesting efficiency of the proposed ABH is much higher than that of the energy harvester with traditional ABH. It is expected to make some contributions to the further development of lightweight wireless sensors, equipment service life, bearing fault diagnosis, and so on.

Research on energy acquisition technology based on one-dimensional acoustic black hole effect

To improve the performance and efficiency of ordinary galloping energy harvesters (GEHs), this paper proposes a GEH with a striped bluff body. The fluid-structure coupling simulation of the bluff body and the oscillator of the energy harvester was carried out using COMSOL Multiphysics. The cloud diagram in the flow field, tip displacement at the tip of the beam, lifting and dragging force, and trace and frequency response of the harvester are analyzed. Simulation results show that the GEH with a striped bluff body has the characteristics of rising frequency and falling peak compared with the ordinary GEH, which can be locked at a fixed peak to form a stable periodic response. Experimental results show that the striped bluff body energy harvester displays better energy harvest performance. The output root mean square voltage can be increased by 119.2% at 2 m/s wind speed, which means that the galloping harvester with a striped bluff body has more stable dynamic characteristics and shows better energy harvest performance.

Improving the performance of galloping energy harvester with striped bluff body

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Hang Sun

Author Tools

Chat about Author