Fatma Benbrahim
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fatma Benbrahim has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
Ahmed Fakhfakh
National School of Electronics and Telecommunications of Sfax, University of Sfax, Sfax, Tunisia
1 shared publication- Ghada Bouattour
Measurement and Sensor Technology in Production Engineering, Leuphana University of Lneburg, Lneburg, Germany
1 shared publication - Kholoud Hamza
Measurement and Sensor Technology, Chemnitz University of Technology, Chemnitz, Germany
1 shared publication Mohamed Dhia Ayadi
Professorship of Measurement and Sensor Technology (MST) Chemnitz University of Technology Chemnitz Germany
1 shared publication- Mohamed Dhia Ayadi
Chemnitz University of Technology
1 shared publication Olfa Kanoun
Professorship of Measurement and Sensor Technology (MST) Chemnitz University of Technology Chemnitz Germany
1 shared publication
Latest Publications
- Open Access
- 24 August 2025
- Published by Wiley in International Journal for Numerical Methods in Engineering
- Vol. 126 (16)
Finite Element Analysis of Particle Size Effects on Piezoelectric Nanogenerator Performance
This study presents a multiscale finite element investigation into how particle dimensions influence the performance of piezoelectric nanogenerators (PENGs) based on PDMS/ nanocomposites. Using COMSOL Multiphysics, we developed a comprehensive computational framework to analyze the effects of particle size (50 nm, 100 nm, 2 m and 5 m) and loading concentration (10%, 15%, 20%, and 25%) on energy harvesting efficiency. Our model integrates an advanced stochastic algorithm for particle distribution and employs representative volume element (RVE) analysis to accurately capture the material's heterogeneous microstructure. The model's validity was established through rigorous comparison with theoretical predictions of resonance frequencies and experimental power density measurements, demonstrating excellent agreement across multiple operating conditions. Our findings reveal that nanoscale particles (50–100 nm) generate substantially higher power densities compared to their microscale counterparts (2–5 m), with peak performance observed at 15–20 wt.% particle concentration. The results emphasize the significance of particle size in enhancing PENG efficiency, providing a basis for improved material design and device optimization.
- 24 August 2025
- Published by Wiley in International Journal for Numerical Methods in Engineering
- Vol. 126 (16)
Open AccessFinite Element Analysis of Particle Size Effects on Piezoelectric Nanogenerator Performance
This study presents a multiscale finite element investigation into how particle dimensions influence the performance of piezoelectric nanogenerators (PENGs) based on PDMS/ nanocomposites. Using COMSOL Multiphysics, we developed a comprehensive computational framework to analyze the effects of particle size (50 nm, 100 nm, 2 m and 5 m) and loading concentration (10%, 15%, 20%, and 25%) on energy harvesting efficiency. Our model integrates an advanced stochastic algorithm for particle distribution and employs representative volume element (RVE) analysis to accurately capture the material's heterogeneous microstructure. The model's validity was established through rigorous comparison with theoretical predictions of resonance frequencies and experimental power density measurements, demonstrating excellent agreement across multiple operating conditions. Our findings reveal that nanoscale particles (50–100 nm) generate substantially higher power densities compared to their microscale counterparts (2–5 m), with peak performance observed at 15–20 wt.% particle concentration. The results emphasize the significance of particle size in enhancing PENG efficiency, providing a basis for improved material design and device optimization.
- 23 July 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Letters
- Vol. 9 (9) , 1-4
A Robust Energy Management Circuit for Energy Harvesting From Wideband Low-Acceleration Vibrations in Wireless Sensor Screws
Enabling broad use of electromagnetic energy harvesting in wireless sensor screws requires robust systems that work with weak vibrations and varying frequency profiles. This contribution presents an energy management circuit incorporating two cooperating DC–DC converters controlled by self-powered mosfet switches and a passive voltage multiplier enabling low-voltage start-up. The circuit operates effectively over an acceleration range of 0.07–0.21 g. It consistently harvests energy across a wider frequency range than energy management circuits based on single DC–DC converters. For example, at an acceleration of 0.21 g, the frequency range is 20–30 Hz. Thereby, it realizes, e.g., at 25 Hz, an efficiency of 72%. The proposed circuit enables robust energy harvesting in a wide frequency range, supporting wireless sensor operation even under low-vibration conditions typical of industrial predictive maintenance.
- 23 July 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Letters
- Vol. 9 (9) , 1-4
A Robust Energy Management Circuit for Energy Harvesting From Wideband Low-Acceleration Vibrations in Wireless Sensor Screws
Enabling broad use of electromagnetic energy harvesting in wireless sensor screws requires robust systems that work with weak vibrations and varying frequency profiles. This contribution presents an energy management circuit incorporating two cooperating DC–DC converters controlled by self-powered mosfet switches and a passive voltage multiplier enabling low-voltage start-up. The circuit operates effectively over an acceleration range of 0.07–0.21 g. It consistently harvests energy across a wider frequency range than energy management circuits based on single DC–DC converters. For example, at an acceleration of 0.21 g, the frequency range is 20–30 Hz. Thereby, it realizes, e.g., at 25 Hz, an efficiency of 72%. The proposed circuit enables robust energy harvesting in a wide frequency range, supporting wireless sensor operation even under low-vibration conditions typical of industrial predictive maintenance.