The paper presents the design of a new device to heat a magnetic nanofluid for in-vitro experiments using cell cultured in Petri dishes. The design of the device was carried out using a modified version of the Migration-Non-dominated Sorting Genetic Algorithms (M-NSGA) algorithm. The proposed algorithm uses a self-adaptive mechanism to manage migration based on movement of utopia point and stability of the front. The optimization algorithm is coupled to a Finite Elements (FE) model of the device. The uniformity of the magnetic field in the region where the Petri dish is positioned is searched for.
Optimal design of an inductor for MFH: From models to laboratory-scale prototype
Forzan M.;Sieni E.;
2016-01-01
Abstract
The paper presents the design of a new device to heat a magnetic nanofluid for in-vitro experiments using cell cultured in Petri dishes. The design of the device was carried out using a modified version of the Migration-Non-dominated Sorting Genetic Algorithms (M-NSGA) algorithm. The proposed algorithm uses a self-adaptive mechanism to manage migration based on movement of utopia point and stability of the front. The optimization algorithm is coupled to a Finite Elements (FE) model of the device. The uniformity of the magnetic field in the region where the Petri dish is positioned is searched for.
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