The paper presents the design of a new device to heat a magnetic nanolluid 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 nanolluid, 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, LuciaUltimo
2015
Abstract
The paper presents the design of a new device to heat a magnetic nanolluid 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 nanolluid, 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.File in questo prodotto:
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