The paper presents the design of a new device to heat a magnetic nanofluid in-vivo. The optimal design of the device has been carried by coupling Finite Elements (FE) solutions and various multi-objective optimization algorithms based on Non-dominated Sorting Genetic Algorithms (NSGA). The theoretical heating rate of the nanofluid, as resulting from the analytical solution that describes the heating rate in adiabatic conditions, is compared to the one calculated in a FE model that takes into account more real-life thermal conditions.

Multi-objective design of a magnetic fluid hyperthermia device

SPIZZO, Federico;DEL BIANCO, Lucia
2015

Abstract

The paper presents the design of a new device to heat a magnetic nanofluid in-vivo. The optimal design of the device has been carried by coupling Finite Elements (FE) solutions and various multi-objective optimization algorithms based on Non-dominated Sorting Genetic Algorithms (NSGA). The theoretical heating rate of the nanofluid, as resulting from the analytical solution that describes the heating rate in adiabatic conditions, is compared to the one calculated in a FE model that takes into account more real-life thermal conditions.
2015
Magnetic fluid hyperthermia; Finite element; optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2339050
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