Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 111061 - 111061
Published: April 1, 2025
Language: Английский
Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 111061 - 111061
Published: April 1, 2025
Language: Английский
Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1620 - 1620
Published: March 24, 2025
In this paper, an axial flux electromagnetic energy harvester driven by a Stirling engine (AFEEH-SE) is presented for recovering waste heat above 200 °C. A gamma-type with slider-crank drive mechanism serves as the power unit to convert thermal into rotational mechanical energy. The comprises rotating magnet array and stationary coil array. Finite element simulations were conducted analyze compare voltage output under different parameter configurations. Subsequently, prototype utilizing mineral oil combustion source was designed, achieving speed of 950 rpm open-circuit conditions. Through systematic adjustments parameters, optimal performance configuration determined maximize harvester. Under optimized configuration, AFEEH-SE achieved effective 57.13 mW, capable charging 2.2 mF capacitor 28 V in 49 s. This study demonstrates feasibility practical applications provides solid foundation future field recovery.
Language: Английский
Citations
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162060 - 162060
Published: March 1, 2025
Language: Английский
Citations
0Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110946 - 110946
Published: April 1, 2025
Language: Английский
Citations
0Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110974 - 110974
Published: April 1, 2025
Language: Английский
Citations
0Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 232, P. 112704 - 112704
Published: April 14, 2025
Language: Английский
Citations
0Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2533 - 2533
Published: April 17, 2025
The triboelectric nanogenerator (TENG) is an efficient mechanical energy harvesting device that exhibits excellent performance in the fields of micro-nano and self-powered sensing. In practical application scenarios, it very important to monitor speed rotational machinery real time. order a wider range speeds, TENG based on machine learning algorithm designed this paper. peak power reaches maximum 6.6 mW can instantly light up 65 LEDs connected series. results show detect speed, greatly improving detection range. neural network trained tested collected electrical signals at different speeds so as health machine. For analysis experimental data, normalization data more label assignment method Gaussian soft coding were considered. study found after normalization, classification prediction accuracy for above 0.9, are stable efficient. Therefore, model monitoring proposed by us be applied early warning rotating actual engineering projects.
Language: Английский
Citations
0Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 111061 - 111061
Published: April 1, 2025
Language: Английский
Citations
0