Particle swarm optimization for realizing bilayer thermal sensors with bulk isotropic materials

•A size-adjusted optimization model for thermal sensors is proposed.•Designed scheme keeps high performance, confirmed by experiments.•This method has strong portability, applying many structures.•Such a scheme greatly simplifies engineering preparation. Metamaterial-based devices have been extensiv...

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Veröffentlicht in:International journal of heat and mass transfer Jg. 172; S. 121177
Hauptverfasser: Jin, Peng, Yang, Shuai, Xu, Liujun, Dai, Gaole, Huang, Jiping, Ouyang, Xiaoping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.06.2021
Elsevier BV
Schlagworte:
Algorithms
Design
Fitness
Isotropic material
Metamaterials
Optimization
Particle swarm algorithm
Particle swarm optimization
Sensors
Simplified engineering preparation
Thermal sensor
Visibility
Simplified engineering preparation
Particle swarm algorithm
Thermal sensor
ISSN:0017-9310, 1879-2189
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Zusammenfassung:•A size-adjusted optimization model for thermal sensors is proposed.•Designed scheme keeps high performance, confirmed by experiments.•This method has strong portability, applying many structures.•Such a scheme greatly simplifies engineering preparation. Metamaterial-based devices have been extensively researched on account of their novel functions, such as cloaking, concentrating, rotating, and sensing. However, they are usually achieved by employing metamaterials with extreme parameters, critically restricting engineering preparation. To simplify parametric designs, we propose an optimization model with particle swarm algorithms to realize bilayer thermal sensors composed of bulk isotropic materials (circular structure). For this purpose, the fitness function is defined to evaluate the difference between the actual and expected temperatures. By choosing suitable materials for different regions and treating the radii of sensor, inner shell, and outer shell as design variables, we finally minimize the fitness function via particle swarm optimization. The designed scheme is not only easy to implement in applications, but shows excellent performances in both detective accuracy and thermal invisibility, which are well confirmed by finite-element simulations and laboratory experiments. Optimization model can also be flexibly extended to a square case. This method can not only calculate numerical solutions for difficult analytical theories (circular structure), but also calculate optimal solutions for problems without analytical theories (square structure), providing new inspiration for simplifying the design of metamaterials in a wide range of communities.
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ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2021.121177