TY  - JOUR
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
AU  - Iannacci, Jacopo
PY  - 2022
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5604
AB  - This paper proposes a monostable nonlinear Piezoelectric Energy Harvester (PEH). The harvester is based on an unconventional exsect-tapered fixed-guided spring design, which introduces nonlinearity into the system due to the bending and stretching of the spring. The physical–mathematical model and finite element simulations were performed to analyze the effects of the stretching-induced nonlinearity on the performance of the energy harvester. The proposed exsect-tapered nonlinear PEH shows a bandwidth and power enhancement of 15.38 and 44.4%, respectively, compared to conventional rectangular nonlinear PEHs. It shows a bandwidth and power enhancement of 11.11 and 26.83%, respectively, compared to a simple, linearly tapered and nonlinear PEH. The exsect-tapered nonlinear PEH improves the power output and operational bandwidth for harvesting low-frequency ambient vibrations.
PB  - MDPI AG
T2  - Micromachines
T1  - Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications
VL  - 13
IS  - 9
SP  - 1399
DO  - 10.3390/mi13091399
ER  - 

@article{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga and Jakšić, Zoran and Iannacci, Jacopo",
year = "2022",
abstract = "This paper proposes a monostable nonlinear Piezoelectric Energy Harvester (PEH). The harvester is based on an unconventional exsect-tapered fixed-guided spring design, which introduces nonlinearity into the system due to the bending and stretching of the spring. The physical–mathematical model and finite element simulations were performed to analyze the effects of the stretching-induced nonlinearity on the performance of the energy harvester. The proposed exsect-tapered nonlinear PEH shows a bandwidth and power enhancement of 15.38 and 44.4%, respectively, compared to conventional rectangular nonlinear PEHs. It shows a bandwidth and power enhancement of 11.11 and 26.83%, respectively, compared to a simple, linearly tapered and nonlinear PEH. The exsect-tapered nonlinear PEH improves the power output and operational bandwidth for harvesting low-frequency ambient vibrations.",
publisher = "MDPI AG",
journal = "Micromachines",
title = "Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications",
volume = "13",
number = "9",
pages = "1399",
doi = "10.3390/mi13091399"
}

Pertin, O., Guha, K., Jakšić, O., Jakšić, Z.,& Iannacci, J.. (2022). Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications. in Micromachines
MDPI AG., 13(9), 1399.
https://doi.org/10.3390/mi13091399

Pertin O, Guha K, Jakšić O, Jakšić Z, Iannacci J. Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications. in Micromachines. 2022;13(9):1399.
doi:10.3390/mi13091399 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, Jakšić, Zoran, Iannacci, Jacopo, "Investigation of Nonlinear Piezoelectric Energy Harvester for Low-Frequency and Wideband Applications" in Micromachines, 13, no. 9 (2022):1399,
https://doi.org/10.3390/mi13091399 . .

TY  - CONF
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
AU  - Jakšić, Zoran
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4847
AB  - This paper presents the results of the deploying machine learning models in the design and optimization of a unimorph tapered cantilever with proof mass, aimed for piezoelectric energy harvesting. Multiobjective optimization as described in the paper was performed in order to find the optimal dimensions of the structure, its length, its width at the anchor and the ratio between widths at the anchor and at the tip, with respect to the salient parameters for the energy harvesting applications, namely low frequency and high power generated by the structure. The method is applicable for the optimization of the design of more complex MEMS structures aimed for energy harvesting applications.
PB  - Institute of Electrical and Electronics Engineers Inc.
C3  - 32nd IEEE International Conference on Microelectronics, MIEL 2021
T1  - AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting
SP  - 285
EP  - 288
DO  - 10.1109/MIEL52794.2021.9569184
ER  - 

@conference{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga and Jakšić, Zoran",
year = "2021",
abstract = "This paper presents the results of the deploying machine learning models in the design and optimization of a unimorph tapered cantilever with proof mass, aimed for piezoelectric energy harvesting. Multiobjective optimization as described in the paper was performed in order to find the optimal dimensions of the structure, its length, its width at the anchor and the ratio between widths at the anchor and at the tip, with respect to the salient parameters for the energy harvesting applications, namely low frequency and high power generated by the structure. The method is applicable for the optimization of the design of more complex MEMS structures aimed for energy harvesting applications.",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
journal = "32nd IEEE International Conference on Microelectronics, MIEL 2021",
title = "AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting",
pages = "285-288",
doi = "10.1109/MIEL52794.2021.9569184"
}

Pertin, O., Guha, K., Jakšić, O.,& Jakšić, Z.. (2021). AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting. in 32nd IEEE International Conference on Microelectronics, MIEL 2021
Institute of Electrical and Electronics Engineers Inc.., 285-288.
https://doi.org/10.1109/MIEL52794.2021.9569184

Pertin O, Guha K, Jakšić O, Jakšić Z. AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting. in 32nd IEEE International Conference on Microelectronics, MIEL 2021. 2021;:285-288.
doi:10.1109/MIEL52794.2021.9569184 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, Jakšić, Zoran, "AI Assisted Optimization of Unimorph Tapered Cantilever for Piezoelectric Energy Harvesting" in 32nd IEEE International Conference on Microelectronics, MIEL 2021 (2021):285-288,
https://doi.org/10.1109/MIEL52794.2021.9569184 . .

TY  - JOUR
AU  - Pertin, Osor
AU  - Guha, Koushik
AU  - Jakšić, Olga
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/4784
AB  - This paper presents a study on the design and multiobjective optimization of a bimorph-segmented linearly tapered piezoelectric harvester for low-frequency and multimode vibration energy harvesting. The procedure starts with a significant number of FEM simulations of the structure with different geometric dimensions—length, width, and tapering ratio. The datasets train the artificial neural network (ANN) that provides the fitting function to be modified and used in algorithms for optimization, aiming to achieve minimal resonant frequency and maximal generated power. Levenberg–Marquardt (LM) and scaled conjugate gradient (SCG) methods were used to train the ANN, then the goal attainment method (GAM) and genetic algorithm (GA) were used for optimi-zation. The dominant solution resulted from optimization by the genetic algorithm integrated with the ANN fitting function obtained by the SCG training method. The optimal piezoelectric harvester is 121.3 mm long and 71.56 mm wide and has a taper ratio of 0.7682. It ensures over five times greater output power at frequencies below 200 Hz, which benefits the low frequency of the vibration spectrum. The optimized design can harness the power of higher-resonance modes for multimode applications.
PB  - MDPI
T2  - Computation
T1  - Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation
VL  - 9
IS  - 8
SP  - 84
DO  - 10.3390/computation9080084
ER  - 

@article{
author = "Pertin, Osor and Guha, Koushik and Jakšić, Olga",
year = "2021",
abstract = "This paper presents a study on the design and multiobjective optimization of a bimorph-segmented linearly tapered piezoelectric harvester for low-frequency and multimode vibration energy harvesting. The procedure starts with a significant number of FEM simulations of the structure with different geometric dimensions—length, width, and tapering ratio. The datasets train the artificial neural network (ANN) that provides the fitting function to be modified and used in algorithms for optimization, aiming to achieve minimal resonant frequency and maximal generated power. Levenberg–Marquardt (LM) and scaled conjugate gradient (SCG) methods were used to train the ANN, then the goal attainment method (GAM) and genetic algorithm (GA) were used for optimi-zation. The dominant solution resulted from optimization by the genetic algorithm integrated with the ANN fitting function obtained by the SCG training method. The optimal piezoelectric harvester is 121.3 mm long and 71.56 mm wide and has a taper ratio of 0.7682. It ensures over five times greater output power at frequencies below 200 Hz, which benefits the low frequency of the vibration spectrum. The optimized design can harness the power of higher-resonance modes for multimode applications.",
publisher = "MDPI",
journal = "Computation",
title = "Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation",
volume = "9",
number = "8",
pages = "84",
doi = "10.3390/computation9080084"
}

Pertin, O., Guha, K.,& Jakšić, O.. (2021). Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation. in Computation
MDPI., 9(8), 84.
https://doi.org/10.3390/computation9080084

Pertin O, Guha K, Jakšić O. Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation. in Computation. 2021;9(8):84.
doi:10.3390/computation9080084 .

Pertin, Osor, Guha, Koushik, Jakšić, Olga, "Artificial intelligence-based optimization of a bimorph-segmented tapered piezoelectric mems energy harvester for multimode operation" in Computation, 9, no. 8 (2021):84,
https://doi.org/10.3390/computation9080084 . .