Enhanced nonlinear energy harvesting using combined primary and parametric resonances: Experiments with theoretical verifications

Fan, Yuting; Ghayesh, Mergen H.; Lu, Tien‐Fu

doi:10.1016/j.enconman.2020.113061

Cited by 28 publications

(4 citation statements)

References 52 publications

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“…The coal, rock and hard rock are in contact with each other over a prolonged period under a state of high impact and stress, thereby, damaging and shortening the life of the pick severely and warranting replacements of coal mining machinery parts. Therefore, the pick wear has become one of the main research problems in the coal mining (Bagri et al, 2021;Boing et al, 2020;Chen et al, 2020;Fan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Recognition of pick wear condition based on Grey-Markov chain model

Zhang¹,

Zhang²

2023

Journal of Theoretical and Applied Mechanics

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An attempt is made in this paper to solve the pick wear problem of mining machinery and propose a pick wear degradation model based on the Grey-Markov chain by using generated characteristics signals and certain pick wear parameters to enhance the prediction accuracy. The vibration and acoustic emission signals generated during the catting pick are extracted and analyzed. The energy and the value of the characteristic signal are obtained by wavelet analysis to construct a characteristic sample library of the signals. Two kinds of signals are applied to the model to analyze the error between the real and the predicted values. The model prediction results demonstrate a 1.43% error of the vibration signal, 1.64% error of the acoustic emission signal with 98% prediction accuracy, thus offers a new method for monitoring the pick wear of mining machinery.

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Section: Introductionmentioning

confidence: 99%

Recognition of pick wear condition based on Grey-Markov chain model

Zhang¹,

Zhang²

2023

Journal of Theoretical and Applied Mechanics

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“…Hu et al [ 39 ] proposed a parametric study of stopper distance for the piecewise linear stiffness model on the energy harvesting performance in terms of both the bandwidth and open-circuit voltage output. Laboratory experiments and FEM model simulations on the use of bumpers in energy harvesting systems were also carried out in the papers [ 40 , 41 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

Energy Harvesting System Whose Potential Is Mapped with the Modified Fibonacci Function

Margielewicz

Gąska

Litak

et al. 2023

Sensors

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In this paper, we compare three energy harvesting systems in which we introduce additional bumpers whose mathematical model is mapped with a non-linear characteristic based on the hyperbolic sine Fibonacci function. For the analysis, we construct non-linear two-well, three-well and four-well systems with a cantilever beam and permanent magnets. In order to compare the effectiveness of the systems, we assume comparable distances between local minima of external wells and the maximum heights of potential barriers. Based on the derived dimensionless models of the systems, we perform simulations of non-linear dynamics in a wide spectrum of frequencies to search for chaotic and periodic motion zones of the systems. We present the issue of the occurrence of transient chaos in the analyzed systems. In the second part of this work, we determine and compare the effectiveness of the tested structures depending on the characteristics of the bumpers and an external excitation whose dynamics are described by the harmonic function, and find the best solutions from the point view of energy harvesting. The most effective impact of the use of bumpers can be observed when dealing with systems described by potential with deep external wells. In addition, the use of the Fibonacci hyperbolic sine is a simple and effective numerical tool for mapping non-linear properties of such motion limiters in energy harvesting systems.

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“…Chen et al [27] designed an auxiliary nonlinear piezoelectric energy harvester, and experimentally studied the effects of the auxiliary structure on the energy harvesting efficiency. Fan et al [28] designed a novel nonlinear energy harvester by introducing a motion limiter; both experimental and theoretical results demonstrated that the proposed structure can effectively increase the frequency bandwidth. Chen et al [29] proposed a forced-vibration model for coupled cantilever beams under nonlinear magnetic forces.…”

Section: Introductionmentioning

confidence: 99%

Rotational nonlinear double-beam energy harvesting

Zhang

et al. 2021

Smart Mater. Struct.

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This paper presents an investigation of the performance of a coupled rotational double-beam energy harvester (DBEH) with magnetic nonlinearity. Two spring-connected cantilever beams are fixed on a rotating disc. Repelling magnets are attached to the frame and to the lower beam tip, and an equal-mass block is attached to the tip of the upper beam. To describe the dynamic response, a theoretical model related to the rotational motion of the coupled cantilever beam is derived from the Lagrange equations. In addition, the harmonic balance method, together with the arc-length continuation method, is applied to obtain the frequency response functions (FRFs). Parametric studies are then conducted to analyze the effect of varying the parameters on the energy harvesting performance, and numerical analysis is performed to validate the analytical solutions. Finally, the theoretical model is verified by forward- and reverse-frequency-sweeping experiments. The DBEH in rotational motion can perform effective energy harvesting over a wide range of rotational frequencies (10 to 35 rad/s). The upper beam is found to exhibit better energy harvesting efficiency than the lower beam around the resonant frequency. This study effectively broadens the energy harvesting bandwidth and provides a theoretical model for the design of nonlinear magnet-coupled double-beam structure in rotational energy harvesting.

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Enhanced nonlinear energy harvesting using combined primary and parametric resonances: Experiments with theoretical verifications

Cited by 28 publications

References 52 publications

Recognition of pick wear condition based on Grey-Markov chain model

Recognition of pick wear condition based on Grey-Markov chain model

Energy Harvesting System Whose Potential Is Mapped with the Modified Fibonacci Function

Rotational nonlinear double-beam energy harvesting

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