caa a22 4500 606209875 CHVBK 20210128101030.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11220-015-0114-3 doi (NATIONALLICENCE)springer-10.1007/s11220-015-0114-3 FEM Modeling of a Magnetoelectric Transducer for Autonomous Micro Sensors in Medical Application [Elektronische Daten] [Gang Yang, Hakeim Talleb, Aurélie Gensbittel, Zhuoxiang Ren] In the context of wireless and autonomous sensors, this paper presents the multiphysics modeling of an energy transducer based on magnetoelectric (ME) composite for biomedical applications. The study considers the power requirement of an implanted sensor, the communication distance, the size limit of the device for minimal invasive insertion as well as the electromagnetic exposure restriction of the human body. To minimize the electromagnetic absorption by the human body, the energy source is provided by an external reader emitting low frequency magnetic field. The modeling is carried out with the finite element method by solving simultaneously the multiple physics problems including the electric load of the conditioning circuit. The simulation results show that with the T-L mode of a trilayer laminated ME composite, the transducer can deliver the required energy in respecting different constraints. Springer Science+Business Media New York, 2015 Magnetostrictive/piezoelectric laminate composite nationallicence Magnetoelectric effect nationallicence Energy harvesting nationallicence Finite element method nationallicence Yang Gang UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut Talleb Hakeim UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut Gensbittel Aurélie UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut Ren Zhuoxiang UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-10 1557-2064 16:1<1 2015 16 11220 https://doi.org/10.1007/s11220-015-0114-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11220-015-0114-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Gang UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut NATIONALLICENCE 700 1- Talleb Hakeim UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut NATIONALLICENCE 700 1- Gensbittel Aurélie UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut NATIONALLICENCE 700 1- Ren Zhuoxiang UPMC Univ Paris 06, UR2, L2E, Sorbonne Universités, 75005, Paris, France aut NATIONALLICENCE 773 0- Sensing and Imaging Springer US; http://www.springer-ny.com 16/1(2015-12-01), 1-10 1557-2064 16:1<1 2015 16 11220