Article
Chemistry, Physical
Ming Yuan, Chunhui Li, Hongmian Liu, Qinghao Xu, Yannan Xie
Summary: This work introduces a 3D-printed acoustic triboelectric nanogenerator for high-performance energy harvesting, capable of driving LEDs and calculators. Additionally, a self-powered edge sensing system is developed for real-time speech recognition, demonstrating great potential in the field of low-power and cost-effective intelligent Internet of Things.
Article
Chemistry, Multidisciplinary
Xiu Xiao, Ling Liu, Ziyue Xi, Hongyong Yu, Wenxiang Li, Qunyi Wang, Cong Zhao, Yue Huang, Minyi Xu
Summary: This paper proposes a novel acoustic triboelectric nanogenerator (QWR-TENG) for efficient low-frequency acoustic energy harvesting, aiming to provide power for the distributed nodes of the rapidly developing Internet of Things technology. Simulation and experimental studies show that the optimized QWR-TENG has excellent electrical output performance with a maximum output voltage of 255 V, a short-circuit current of 67 muA, and a transferred charge of 153 nC under the acoustic frequency of 90 Hz and sound pressure level of 100 dB. Furthermore, a conical energy concentrator is introduced, and a composite quarter-wavelength resonator-based triboelectric nanogenerator (CQWR-TENG) is designed to enhance the electrical output. The results demonstrate that the maximum output power and power density per unit pressure of CQWR-TENG reach 13.47 mW and 2.27 WPa(-1)m(-2), respectively. Application demonstrations indicate that QWR/CQWR-TENG has good capacitor charging performance and is expected to provide power supply for distributed sensor nodes and other small electrical devices.
Article
Chemistry, Physical
Tianrun Li, Zhemin Wang, Hanjie Xiao, Zhimiao Yan, Cheng Yang, Ting Tan
Summary: This study introduces a Helmholtz acoustic metamaterial (HAM) piezoelectric device with dual-band acoustic energy harvesting characteristics, which amplifies both structural and local resonances for improved energy conversion efficiency. Numerical simulations and experimental results demonstrate that the energy conversion efficiency of HAM is significantly higher than that of traditional acoustic metamaterials in both structural and local resonance bands.
Article
Chemistry, Analytical
Jun Chen, Xiangfu Liu, Hengyang Wang, Sheng Wang, Mingjie Guan
Summary: This paper presents a piezoelectric rotational energy harvester that uses the force of gravity to generate power. With a novel design, the harvester can output sufficient power in a wide frequency range.
Article
Acoustics
Jie Deng, Oriol Guasch, Ling Zheng, Tingting Song, Yanshu Cao
Summary: An acoustic black hole termination can enhance the energy harvesting capabilities of a piezoelectric bimorph cantilever. A semi-analytical approach is proposed to characterize performance and allows for efficient parametric analysis of different system configurations. The method is a valuable tool for designing ABH energy harvesting devices.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Materials Science, Composites
Weipeng Sun, Kexin Zhong, Yuanyuan Liu, Hanjie Xiao, Daoli Zhao, Zhimiao Yan, Ting Tan
Summary: This study demonstrates through mathematical analysis and experiments that selecting an appropriate thickness for the substrate of acoustic metamaterials can enhance the output power of acoustic energy harvesters. The findings of this research will contribute to the development of high-performance metamaterial-based acoustic energy harvesters.
COMPOSITES COMMUNICATIONS
(2022)
Article
Instruments & Instrumentation
Jiwen Fang, Bo Fan, Chong Li, Mingming Lv
Summary: Low-frequency vibration is widespread in nature and vibration energy harvesting is considered a reliable and sustainable method for continuous power supply. Designing a bio-inspired mechanical structure to improve the efficiency of energy harvesting by mimicking the flapping wing motion of Diptera insects is a feasible approach.
SMART MATERIALS AND STRUCTURES
(2023)
Article
Engineering, Mechanical
Yu Chen, Zhichun Yang, Zhaolin Chen, Kui Li, Le Wang, Shengxi Zhou
Summary: This paper investigates a multibifurcated piezoelectric energy harvester (MBPEH) with coupled bending and torsional vibrations to enhance energy harvesting performance. The theoretical model is verified by the finite element method (FEM) and experimental results, with good agreement in both output amplitude and response frequency bands. The study reveals the multimodal response mechanism of the MBPEH and analyzes the influence of bifurcated angle and length of bifurcated beams on energy harvesting performance. It is further revealed that the asymmetry of bifurcated beams is conducive to energy harvesting. The Y-shaped BTM-MBPEH demonstrates better energy harvesting performance in medium and low-frequency bands compared to the bending and axial mode (BAM).
ACTA MECHANICA SINICA
(2022)
Article
Engineering, Multidisciplinary
Khaled Mohamed, Hassan Elgamal, Sallam A. Kouritem
Summary: This research focuses on optimizing the geometry and natural frequency of piezoelectric energy harvesters to improve efficiency. The combination of genetic algorithm and COMSOL optimization module has significantly increased power output. Experimental validation of COMSOL results and investigation into the impact of cantilever length, tip mass, and piezoelectric material volume on output voltage were conducted.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Engineering, Mechanical
Z. Y. Xiang, J. K. Zhang, S. J. Li, S. L. Xie, F. P. Liu, R. D. Zhu, D. K. He
Summary: A piezoelectric cantilever vibration energy collector (PCVEC) was developed and tested to harvest friction-induced vibration (FIV) energy. The results show that PCVEC effectively converts FIV energy into electrical energy. The deformation capability of PCVEC is influenced by the mass and stiffness of the cantilever beam, with higher mass and stiffness resulting in weaker deformation capability and a decrease in output voltage.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Materials Science, Multidisciplinary
Jichun Xing, Gaofeng Liu, Wei Jin, Ian Howard
Summary: This article proposes a nonlinear piezoelectric-electromagnetic composite energy harvester (NEPH) and establishes its dynamic equations. The impact of system parameter changes on voltage output characteristics is investigated through experimental measurements and numerical simulations. The experimental results demonstrate that NEPH can provide different output power under different load impedance conditions at different resonance frequencies. Additionally, the two electromagnetic generators can be directly connected in series or parallel due to their identical amplitude, frequency, and phase.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2023)
Article
Thermodynamics
Xukun Su, Yonggang Leng, Shuailing Sun, Xiaoyu Chen, Junjie Xu
Summary: This study proposes a quad-stable piezoelectric energy harvester (PEH) utilizing a locally demagnetized multi-pole permanent magnet (LDPM) to provide and tailor nonlinearity. Numerical and experimental results show that the PEH with LDPM outperforms traditional magnets in the low-frequency range, with significantly decreased potential barrier and only slight reduction in potential width. This may offer a new method for optimizing PEHs.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Shuailing Sun, Yonggang Leng, Xukun Su, Yuyang Zhang, Xiaoyu Chen, Junjie Xu
Summary: A novel dual-magnet TPEH with only one external magnet is proposed in this study, and the system transitions from a tri-stable state to a bi-stable state and then to a mono-stable state as the magnet distance increases, as revealed by the analysis of magnetic force expression and potential function. Simulation results show better output performance in the bi-stable state than in the tri-stable state under low excitation, while the output performance in the tri-stable state is better than in the bi-stable state under large excitation levels.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Chemistry, Physical
Kejing Ma, Ting Tan, Zhimiao Yan, Fengrui Liu, Wei-Hsin Liao, Wenming Zhang
Summary: A novel metamaterial and Helmholtz coupled resonator (MHCR) are proposed in this paper to enhance sound energy density through energy focusing and pressure amplification, with promising results in increasing the transmission ratio and voltage output of energy harvesters.
Article
Engineering, Electrical & Electronic
Felipe A. Costa de Oliveira, Davies William de Lima Monteiro, Dalton Martini Colombo
Summary: This paper presents a study on a MEMS based micro-cantilever device with Aluminum Nitride thin film as a piezoelectric material for energy harvesting and vibration sensing. The device achieved a power output of 0.491 mu W at the resonance frequency of 163 Hz, showing potential for use as an energy harvester for low-power electronics and as a vibration sensor.
SENSORS AND ACTUATORS A-PHYSICAL
(2021)
Article
Engineering, Mechanical
Je-Heon Han, Yong-Joe Kim
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2015)
Article
Acoustics
Zhongzheng Liu, Yong-Joe Kim, Han Wang, Arum Han
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2016)
Article
Nanoscience & Nanotechnology
Han Wang, Zhongzheng Liu, Dong M. Shin, Zhuo G. Chen, Younghak Cho, Yong-Joe Kim, Arum Han
MICROFLUIDICS AND NANOFLUIDICS
(2018)
Article
Acoustics
Yong-Joe Kim, Yaying Niu
JOURNAL OF SOUND AND VIBRATION
(2012)
Article
Acoustics
Yaying Niu, Yong-Joe Kim
JOURNAL OF SOUND AND VIBRATION
(2013)
Article
Acoustics
Hyu-Sang Kwon, Yaying Niu, Yong-Joe Kim
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2010)
Article
Biochemical Research Methods
Han Wang, Zhongzheng Liu, Sungman Kim, Chiwan Koo, Younghak Cho, Dong-Young Jang, Yong-Joe Kim, Arum Han
Article
Acoustics
Yaying Niu, Yong-Joe Kim
NOISE CONTROL ENGINEERING JOURNAL
(2012)
Article
Instruments & Instrumentation
Bin Li, Jeong Ho You, Yong-Joe Kim
SMART MATERIALS AND STRUCTURES
(2013)
Article
Acoustics
Je-Heon Han, Yong-Joe Kim, Mansour Karkoub
Article
Acoustics
Seongil Hwang, Myunghan Lee, Kang Duck Ih, Yong-Joe Kim
Summary: Analyzing the contribution of various automobile noise sources to interior noise is crucial for designing a vehicle with low interior noise. A new method using LDL decomposition successfully decomposes the interior noise spectrum into multiple spectra, each representing the contribution of a physically meaningful noise source.
NOISE CONTROL ENGINEERING JOURNAL
(2023)
Article
Biochemical Research Methods
Han Wang, Zhongzheng Liu, Dong M. Shin, Zhuo G. Chen, Younghak Cho, Yong-Joe Kim, Arum Han
Article
Acoustics
Yong-Joe Kim, Je-Heon Han
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME
(2013)
Article
Acoustics
Myung Han Lee, Kang Duck Ih, Seongil Hwang, Yong-Joe Kim
JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA
(2018)
Article
Acoustics
Cailiang Zhang, Zhihui Lai, Zhisheng Tu, Hanqiu Liu, Yong Chen, Ronghua Zhu
Summary: This paper proposes two single-parameter-adjusting SR models to optimize the output performance of SR systems. The effects of the proposed models on SR output under different parameters and signals are investigated through numerical simulations, and their feasibility is verified through experimental results. The research results are of great significance for guiding the design of tri-stable SR models and the application of SR-based signal processing in the context of big data.
Article
Acoustics
Shaoqiong Yang, Hao Chang, Yanhui Wang, Ming Yang, Tongshuai Sun
Summary: In this study, a suspension system based on phononic crystals is designed for vibration isolation of acoustic loads in underwater gliders. The vibration properties of the phononic crystals and the effects of physical parameters on the underwater attenuation zones are investigated. Vibration tests show that the phononic crystal suspension system has a stable vibration isolation effect in the frequency range of 120-5000 Hz.
Article
Acoustics
Xuebin Zhang, Jun Zhang, Tao Liu, Ning Hu
Summary: This study proposes a tunable metamaterial beam to isolate flexural waves. A genetic algorithm-based size optimization is used to obtain a broad low-frequency bandgap. The tunability of the beam is achieved by attaching different numbers of permanent magnets to change the mass of the resonators. Additionally, ultra-broadband flexural wave attenuation is achieved by forming a gradient metamaterial beam based on the rainbow effect. Numerical and experimental results confirm the good flexural wave attenuation ability of the proposed beam.
Article
Acoustics
Luca Rapino, Francesco Ripamonti, Samanta Dallasta, Simone Baro, Roberto Corradi
Summary: This paper presents a method for simulating tyre/road noise using equivalent monopoles, including the synthesis of monopoles through an inverse problem approach and the use of an ISO 10844 road replica for laboratory testing. The method combines acoustic finite element models and numerical simulations of vehicles, and the results are validated by comparing them with measured data.
Article
Acoustics
Xiaoyan Zhu, Tin Oberman, Francesco Aletta
Summary: This paper explores the definition of acoustical heritage and proposes a multidimensional definition based on interviews with experts and detailed analysis of the data.
Article
Acoustics
Faeez Masurkar, Saurabh Aggarwal, Zi Wen Tham, Lei Zhang, Feng Yang, Fangsen Cui
Summary: This research focuses on estimating the elastic constants of orthotropic laminates using ultrasonic guided waves and inverse machine learning models. The results show that this approach has the potential to accurately predict the elastic constants of a material and reduce computational time.
Article
Acoustics
Feng Xiao, Haiquan Liu, Jia Lu
Summary: Diagnostic methods for cardiovascular disease based on heart sound classification have been widely studied due to their noninvasiveness, low-cost, and high efficiency. However, existing research often faces challenges such as the nonstationarity and complexity of heart sound signals, leading to limited capability of neural networks to extract discriminative features. To address these issues, this study proposes a novel convolutional neural network that combines 1D convolution and 2D convolution, and introduces an attention mechanism to enhance feature extraction capability. The study also explores the advantages and disadvantages of combining deep learning features with manual features, and adopts an evolving fuzzy system for decision-making interpretability.
Article
Acoustics
Hong Xu, Zhengyao He, Qiang Shi, Yushi Wang, Bo Zhang
Summary: This paper presents the development of a directional segmented ring transmitting transducer that can radiate sound waves in any horizontal region. The study focuses on the structure of the segmented ring transducer, its radiation sound field characteristics, and the beam pattern control method based on modal synthesis. The authors propose orthogonal beam pattern functions for adjusting steering angles and establish a three-dimensional finite element model to simulate the transmitting beam patterns. Experimental measurements and tests validate the effectiveness of the proposed transducer, showcasing its ability to steer the beam patterns to different directions.
Article
Acoustics
Jirui Yang, Shefeng Yan, Di Zeng, Gang Tan
Summary: This paper proposes an improved domain adaptation framework, self-supervised learning minimax entropy, to enhance the recognition performance of underwater target recognition models. The experimental results demonstrate that applying domain adaptation methods can effectively improve the recognition accuracy of the models under various marine conditions.
Article
Acoustics
Zonghan Sun, Jie Tian, Yuhang Zheng, Xiaocheng Zhu, Zhaohui Du, Hua Ouyang
Summary: This paper analyzes the noise reduction method of installing a sinusoidal-shaped inlet duct on a cooling fan through theoretical and experimental analysis of the acoustic mode modulation. The study establishes the correlation between the free field noise and acoustic mode of the fan rotor and the unsteady forces on the rotor blade surface. The results show that the sinusoidal-shaped inlet duct achieves greater noise reduction compared to a straight duct, especially at the blade passing frequency and its first harmonic.
Article
Acoustics
Min Li, Rumei Han, Hui Xie, Ruining Zhang, Haochen Guo, Yuan Zhang, Jian Kang
Summary: This study is part of a global collaboration to translate and standardise soundscape research. A reliable questionnaire for soundscape characterisation in Mandarin Chinese was developed and validated. The study found that salient sound sources become the focus of attention for individuals in urban open spaces, and the perception is also influenced by the acoustic characteristics of the soundscape. Certain types of sound sources play a more important role in soundscape perception.
Article
Acoustics
Arezoo Talebzadeh, Dick Botteldooren, Timothy Van Renterghem, Pieter Thomas, Dominique Van de Velde, Patricia De Vriendt, Tara Vander Mynsbrugge, Yuanbo Hou, Paul Devos
Summary: This study proposes a sound selection methodology to enhance the soundscape in nursing homes and reduce BPSD by analyzing sound characteristics and recognition methods. The results highlight the sound characteristics that lead to positive responses, while also pointing out the need for further studies to understand which sounds are most suitable for people with dementia.
Article
Acoustics
Yang Yang, Yongxin Yang, Zhigang Chu
Summary: This paper introduces a grid-free compressive beamforming method compatible with arbitrary linear microphone arrays, and demonstrates the correctness and superiority of the proposed method through examples. Monte Carlo simulations are performed to reveal the effects of source coherence, source separation, noise, and number of snapshots.
Article
Acoustics
Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Summary: Computer-Aided Language Learning (CALL) is growing rapidly due to the importance of acquiring proficiency in multiple languages for effective communication. In the field of CALL, the detection of mispronunciations is vital for non-native speakers. This research introduces a novel framework using audio-centric transformer models to detect mispronunciations in Arabic phonemes. The results demonstrate that the UNI-SPEECH transformer model yields notable classification outcomes in Arabic phoneme mispronunciation detection. The comprehensive comparison of these transformer models provides valuable insights and guidance for future investigations in this domain.
Article
Acoustics
Yi-Yang Ni, Fei-Yun Wu, Hui-Zhong Yang, Kunde Yang
Summary: This paper proposes an improved method for compressive sensing by introducing a self training dictionary scheme and a CS reconstruction method based on A*OLS, which enhances the sparse representation performance of propeller signals.