Purpose - The purpose of this paper is to present the synthesis of magnetic fluid characteristics, like diameter of nanoparficles (NPs) and their concentration, in order to obtain a prescribed temperature rate. An evolution strategy algorithm is used in the optimization procedure, while three-dimensional finite-element (FE) modelling is used for magnetic field and thermal field analysis in transient conditions. Design/methodology/approach - FE analysis has been used in order to compute the magnetic and thermal field in a suitable model of the tumor region. The power density due to NP has been accordingly derived. Findings - The NP distribution, giving a prescribed thermal response, is synthesized. Practical implications The proposed method can be used to design a therapeutic treatment based on magnetic fluid hyperthermia. Originality/value - The paper belongs to a streamline of innovative studies on computational hyperthermia.

Synthesizing a nanoparticle distribution in magnetic fluid hyperthermia

E. Sieni
2011-01-01

Abstract

Purpose - The purpose of this paper is to present the synthesis of magnetic fluid characteristics, like diameter of nanoparficles (NPs) and their concentration, in order to obtain a prescribed temperature rate. An evolution strategy algorithm is used in the optimization procedure, while three-dimensional finite-element (FE) modelling is used for magnetic field and thermal field analysis in transient conditions. Design/methodology/approach - FE analysis has been used in order to compute the magnetic and thermal field in a suitable model of the tumor region. The power density due to NP has been accordingly derived. Findings - The NP distribution, giving a prescribed thermal response, is synthesized. Practical implications The proposed method can be used to design a therapeutic treatment based on magnetic fluid hyperthermia. Originality/value - The paper belongs to a streamline of innovative studies on computational hyperthermia.
2011
http://www.emeraldinsight.com/doi/full/10.1108/03321641111152667
Magnetohydrodynamics; Evolutionary computing; Magnetic nanoparticles; FE three‐dimensional transient analysis; Nanotechnology
Di Barba, P.; Dughiero, F.; Sieni, E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2077267
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