Article
Chemistry, Physical
Cailiang Zhang, Junchen Xu, Shitong Fang, Zijian Qiao, Daniil Yurchenko, Zhihui Lai
Summary: In this paper, a novel hybrid vibro-impact electromagnetic-dielectric generator (VI EDG) embedded into a pendulum structure to form a pendulum-based absorber-harvester (PAH) system is proposed. The PAH system can convert vibration energy into electrical energy and reduce the swing amplitude of the pendulum. The physical model of the PAH system is introduced, and the governing equations involving the dynamical and electrical parts are derived. Experimental validation is carried out to measure the swing motion of the pendulum. The energy harvesting performance of the PAH system is investigated through numerical simulations, and the vibration absorption performance of the VI EDG is discussed.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
Article
Thermodynamics
Faruq Muhammad Foong, Chung Ket Thein, Daniil Yurchenko
Summary: The paper introduces a novel electromagnetic vibration energy harvester based on anti-phase motion, which shows promising power density results and good agreement with mathematical models. Although the design is still being optimized, there is potential for achieving better performance in the future.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Ge Shi, Wentao Zeng, Yinshui Xia, Jubing Xa, Shengyou Jin, Qing Li, Xiudeng Wang, Huakang Xia, Yidie Ye
Summary: This study presents a floating piezoelectric electromagnetic hybrid wave vibration energy harvester that is actuated by a rotating wobble ball. The kinematic equation of the rotating wobble ball under the influence of the wave is established by simplifying the ocean wave model. One notable feature of the proposed harvester is its ability to harvest wave vibration energy using a frequency up-conversion mechanism. Experimental results demonstrate that the hybrid energy harvester can efficiently collect low-frequency wave vibrations and generate electrical power.
Article
Thermodynamics
Milad Hasani, Mohsen Irani Rahaghi
Summary: The main goal of this research is to optimize electromagnetic energy harvesters, using a flexible computational framework to predict characteristics, and developing innovative computational models to improve optimization speed and performance. Experimental results validate the effectiveness of the optimization, with the optimized energy harvester demonstrating excellent power performance and self-powered sensor function.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
James Graves, Yang Kuang, Meiling Zhu
Summary: This paper presents the integration of a novel mechanical torsion spring regulator into a pendulum energy harvester system. The regulator provides voltage-smoothing benefits and acts as a buffer for sudden impacts, reducing torque stress on critical components to improve system reliability. Experimental results show a reduction in voltage fluctuation range and improved start-up response compared to devices with flywheels.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Chemistry, Analytical
Yongqiang Zhu, Zhaoyang Zhang, Pingxia Zhang, Yurong Tan
Summary: The cross-shaped magnetically coupled piezoelectric-electromagnetic hybrid energy harvester can collect energy in two vibration directions simultaneously and efficiently generate electricity at lower vibration frequencies.
Article
Energy & Fuels
Tao Wang, Haobin Lv, Xin Wang
Summary: This study develops a novel built-in electromagnetic energy harvester that utilizes pitch vibrations to provide sustainable power supply for unmanned marine devices. The prototype demonstrates competitive energy extraction efficiency and can serve as a potential candidate for powering onboard electronics.
Article
Nanoscience & Nanotechnology
Rammohan Sriramdas, Dong Yang, Min-Gyu Kang, Mohan Sanghadasa, Shashank Priya
Summary: A universal energy harvester is designed in this study, which can convert ambient vibrations, magnetic fields, and sunlight into electricity with high power density. By optimizing the design, the efficiency of the solar cell is greatly improved, which is significant for the design of power sources for Internet of Things sensors and wireless devices in the future.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Energy & Fuels
Carlos Castellano-Aldave, Alfonso Carlosena, Xabier Iriarte, Aitor Plaza
Summary: In this paper, a novel device is proposed and demonstrated to harvest mechanical energy from multidirectional vibrations in a wind turbine and convert it into electrical energy. The device can generate average powers around the milliwatt in wind turbine operation conditions, which is sufficient for low-power sensor nodes or battery life extension. Based on a principle of moving masses with magnets in Hallbach arrays interacting with coils, the device works for movements in any direction on a plane. It is the first device specifically proposed for wind turbines and exhibits better efficiency compared to similar harvesters for low-frequency vibrations.
Article
Chemistry, Analytical
Xiang Li, Jinpeng Meng, Chongqiu Yang, Huirong Zhang, Leian Zhang, Rujun Song
Summary: This paper proposes a magnetically coupled electromagnetic energy harvester (MCEEH) for harvesting human body kinetic energy efficiently at low frequency. Experimental results show that under specific conditions, the MCEEH can achieve high output power.
Article
Engineering, Electrical & Electronic
Carlos Imbaquingo, Christian Bahl, Andrea R. Insinga, Rasmus Bjork
Summary: This article presents an elliptically shaped electromagnetic vibration energy harvester that can tune the resonance frequency easily. The harvester consists of a free-to-move ring-shaped permanent magnet, elliptically distributed cube magnets in a fixed holder, and two coil windings above and below the harvester. When subjected to vibrations, the ring magnet moves until it is pushed back by the magnetic force from the fixed cube magnets, inducing an electromagnetic force on the fixed coils. Experimental results show that the harvester has two resonant frequencies at 4.5 Hz and 7 Hz, generating around 1.5 mW of power.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Acoustics
Asan G. A. Muthalif, Muhammad Hafizh, Jamil Renno, Mohammad R. Paurobally
Summary: This article proposes a novel hybrid piezoelectric-electromagnetic vortex-induced vibration energy harvester, utilizing a dual-mass configuration to increase energy harvesting efficiency, and utilizing computational fluid dynamics and finite element analysis for simulation.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Thermodynamics
Johan Bjurstrom, Fredrik Ohlsson, Andreas Vikerfors, Cristina Rusu, Christer Johansson
Summary: This paper introduces a novel concept for efficiently harvesting vibrational energy at low frequencies and small displacements using an electromagnetic energy harvester. Simulation modeling and experimental validation demonstrate the potential performance of this method under harmonic and non-harmonic excitations.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Kangqi Fan, Jin Liu, Danmei Wei, Daxing Zhang, Yun Zhang, Kai Tao
Summary: A novel method for converting ambient vibrations into efficient rotational energy using the 'cantilever-plucked rotor' mechanism is introduced, which can generate high output power under different vibration conditions through a new plectrum design.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Nanoscience & Nanotechnology
L. R. Corr, D. T. Ma
Article
Acoustics
Hui Zhang, Lawrence R. Corr, Tianwei Ma
JOURNAL OF SOUND AND VIBRATION
(2018)
Article
Engineering, Mechanical
Hui Zhang, Lawrence R. Corr, Tianwei Ma
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2018)
Article
Multidisciplinary Sciences
Jian Yu, Enze Ma, Tianwei Ma
SCIENTIFIC REPORTS
(2017)
Article
Environmental Studies
Zhenning Li, Hao Yu, Xiaofeng Chen, Guohui Zhang, David Ma
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Environmental Studies
Qian Zhang, Hao Yu, Zhenning Li, Guohui Zhang, David T. Ma
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2020)
Article
Chemistry, Physical
Jian Yu, Tianwei Ma
Article
Chemistry, Physical
Jian Yu, Tianwei Ma
Summary: The distribution of nano-sized pores in an electrode has a profound impact on the electrode capacitive response under a salinity gradient. By utilizing the pore-size effect, highly efficient extraction of the Gibbs free energy can be achieved.
Article
Ergonomics
Zhenning Li, Yusheng Ci, Cong Chen, Guohui Zhang, Qiong Wu, Zhen (Sean) Qian, Panos D. Prevedouros, David T. Ma
ACCIDENT ANALYSIS AND PREVENTION
(2019)
Article
Public, Environmental & Occupational Health
Zhenning Li, Cong Chen, Qiong Wu, Guohui Zhang, Cathy Liu, Panos D. Prevedouros, David T. Ma
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2018)
Article
Physics, Multidisciplinary
Jian Yu, Enze Ma, Tianwei Ma
COMMUNICATIONS PHYSICS
(2018)
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)