Structural optimisation through material selections for multi-cantilevered vibration electromagnetic energy harvesters

Foong, Faruq Muhammad; Thein, Chung Ket; Yurchenko, Daniil

doi:10.1016/j.ymssp.2021.108044

Cited by 16 publications

(6 citation statements)

References 41 publications

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“…The equation has a mean error of approximately 10.0% and can be used to predict the material damping of stainless-steel cantilever beams with sufficient accuracy. Additionally, it has been shown in [12] that the same equation is also capable of predicting other cantilevered structures aside from a uniform rectangular beam.…”

Section: Power and Damping Of A Cantilevered Electromagnetic Vehmentioning

confidence: 99%

“…The main advantage of this method is that only two iterations are required to determine the material damping of cantilever beams, making it very practical for finite element applications. For a stainless-steel material, the material damping ratio can be related to the critically damped stress, σ c , by the following expression [12]:…”

Section: Power and Damping Of A Cantilevered Electromagnetic Vehmentioning

confidence: 99%

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Material Damping Analysis of Triangular Cantilever Beam for Electromagnetic Vibration Energy Harvesting Applications

Thein

Foong

2021

The 8th International Electronic Conference on Sensors and Applications

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Triangular cantilever beams are often desired in piezoelectric vibration energy harvesting applications, as they result in a better performance due to the higher and more uniform stress they exhibit. However, the application of this cantilever geometry has not yet been explored for other transduction methods. In this study, the application of a triangular cantilever beam for a cantilevered electromagnetic vibration energy harvester was examined by analyzing its material damping and comparing it to a regular rectangular beam. The material damping of the harvester was predicted through finite element analysis using the critically damped stress method. Under the same beam volume or beam length, the triangular cantilever beam exhibited an approximately 7.1% lower material damping when compared to a rectangular cantilever beam. Further analysis shows that the triangular beam can also deliver a 21.7% higher power output than the rectangular beam.

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Section: Power and Damping Of A Cantilevered Electromagnetic Vehmentioning

confidence: 99%

Section: Power and Damping Of A Cantilevered Electromagnetic Vehmentioning

confidence: 99%

Material Damping Analysis of Triangular Cantilever Beam for Electromagnetic Vibration Energy Harvesting Applications

Thein

Foong

2021

The 8th International Electronic Conference on Sensors and Applications

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“…[1][2][3][4] The low power consumption opens the possibility of sustaining these devices with the renewable energy harvested from the ambient environment. As one of the most commonly available energy sources in our living environment, mechanical energy, particularly vibrational energy, has been utilized for electricity generation through piezoelectric, [5][6][7][8][9][10][11][12][13][14][15] electromagnetic, [16][17][18][19] triboelectric [20][21][22] and electrostatic transduction mechanisms. 23,24 However, real-world applications of linear generators are not usually practical due to the random nature of vibrations in terms of variable frequency.…”

Section: Introductionmentioning

confidence: 99%

Theoretical investigation of bistable piezoelectric energy harvester using frequency down-conversion

Abumarar

Ibrahim

Ramini

2023

Active and Passive Smart Structures and Integrated Systems XVII

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Recently, vibrational energy harvesting has been considered a promising alternative to batteries for powering microsystems for large wireless sensor network applications. However, ambient vibrations are below 100 Hz, while most machines and equipment operate relatively at high frequencies (more than 70 Hz). Herein, we propose a theoretical study to harvest energy from high frequencies using a frequency-down bistable piezoelectric energy harvester mechanism. We investigate the energy harvesting benefit in the down-conversion of a high-frequency signal to a low-frequency signal utilizing magnetic coupling. A high-frequency driving beam triggers a low-frequency generating beam. We use a spring-mass-damper equivalent model to understand the operation mechanism of the proposed piezoelectric vibration energy harvester. Based on the theoretical model, the static and dynamic effect of magnetic nonlinearity on the performance of the proposed piezoelectric vibration energy harvester is numerically analyzed. The targeted applications are the down-conversion and the filtering of high frequencies and mass sensing, particularly the harvester's behavior for mass sensing applications.

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“…Toledo et al [21] applied multi-criteria means for alternative material selection in the automotive industry. Foong et al [22] applied a structural optimization approach for material selections. As a result, designs of multi-cantilevered vibration energy harvesters were improved.…”

Section: Introductionmentioning

confidence: 99%

Using Regression Analysis for Automated Material Selection in Smart Manufacturing

et al. 2022

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In intelligent manufacturing, the phase content and physical and mechanical properties of construction materials can vary due to different suppliers of blanks manufacturers. Therefore, evaluating the composition and properties for implementing a decision-making approach in material selection using up-to-date software is a topical problem in smart manufacturing. Therefore, the article aims to develop a comprehensive automated material selection approach. The proposed method is based on the comprehensive use of normalization and probability approaches and the linear regression procedure formulated in a matrix form. As a result of the study, analytical dependencies for automated material selection were developed. Based on the hypotheses about the impact of the phase composition on physical and mechanical properties, the proposed approach was proven qualitatively and quantitively for carbon steels from AISI 1010 to AISI 1060. The achieved results allowed evaluating the phase composition and physical properties for an arbitrary material from a particular group by its mechanical properties. Overall, an automated material selection approach based on decision-making criteria is helpful for mechanical engineering, smart manufacturing, and industrial engineering purposes.

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Structural optimisation through material selections for multi-cantilevered vibration electromagnetic energy harvesters

Cited by 16 publications

References 41 publications

Material Damping Analysis of Triangular Cantilever Beam for Electromagnetic Vibration Energy Harvesting Applications

Material Damping Analysis of Triangular Cantilever Beam for Electromagnetic Vibration Energy Harvesting Applications

Theoretical investigation of bistable piezoelectric energy harvester using frequency down-conversion

Using Regression Analysis for Automated Material Selection in Smart Manufacturing

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