INVERSE DESIGN METHODS FOR RADIATIVE TRANSFER SYSTEMS

Author(s):  
John R. Howell ◽  
Kyle Daun
2020 ◽  
Vol 32 (14) ◽  
pp. 2070107
Author(s):  
Zhichao Fan ◽  
Yiyuan Yang ◽  
Fan Zhang ◽  
Zheng Xu ◽  
Hangbo Zhao ◽  
...  

2018 ◽  
Vol 140 (3) ◽  
Author(s):  
Refet A. Yalçın ◽  
Hakan Ertürk

Inverse design of thickness sensitive spectrally selective pigmented coatings that are used in absorbers of solar thermal collectors is considered. The objective is to maximize collection efficiency by achieving high absorptance at solar wavelengths and low emittance at the infrared (IR) wavelengths to minimize heat loss. Radiative properties of these coatings depend on coating thickness, pigment size, concentration, and the optical properties of binder and pigment materials, and a unified radiative transfer model of the pigmented coatings is developed in order to understand the effect of these parameters on the properties. The unified model (UM) relies on Lorenz–Mie theory (LMT) for independent scattering regime in conjunction with extended Hartel theory (EHT) to incorporate the multiple scattering effects, T-matrix method (TMM) for dependent scattering, and effective medium theory (EMT) for very small particles. A simplified version of the UM (SUM) ignoring dependent scattering is also developed for improving computational efficiency. Through the solution of the radiative transfer equation by the four flux method (FFM), spectral properties are predicted. The developed model is used in conjunction with inverse design for estimating design variables yielding the desired spectral emittance of the ideal coating. The nonlinear inverse design problem is solved by optimization by using simulated annealing (SA) method that is capable of finding global minimum regardless of initial guess.


Author(s):  
Mirko Gamba ◽  
Trey Pavy ◽  
John R. Howell

Inverse methods have recently been introduced and applied to the design and control of thermal systems, particularly to systems where radiative transfer is the main heat transfer mode. The results of the steady state design of a representative radiative system using inverse methods have been experimentally validated on a modeled physical system. Few experiments have been developed to validate radiative transfer calculations even in simple systems. This is because it is difficult to separate other modes of energy transfer from radiative transfer, and, in transient systems, thermal inertia effects often mask the precise measurement of radiative effects. The present study is a continuation of the earlier validation work, performed to further study and eventually validate the inverse design and control methods by modeling and designing a simplified physical thermal system. A main focus of the present study is to exploit the similarities between thermal radiative systems lacking thermal inertia and visible light systems. Because of the absence of thermal capacitance, the response of a visible light system depends intrinsically on the state of the light source. The present study considers the inverse design of a newly developed experimental apparatus designed to simulate a low capacitance, two-dimensional radiative enclosure. The apparatus relies on the direct analogy between visible light and radiative heat transfer in a cold, low capacitance system where conduction and convection are suppressed. The system is designed so that both steady state and transient conditions can be achieved. The enclosure is equipped with individually controlled low-power lamps as the source of radiant flux, and these mimic radiant heaters in a real system. The design surface is instrumented with light detectors so that the intensity of the illumination on this surface can be quantified and eventually compared with the design goal. This paper illustrates the characteristics and capabilities of the experimental setup, along with the validity of inverse methods for steady state inverse design of the enclosure to achieve specified conditions on the design surface and sequent validation of the results on the experimental system.


Author(s):  
Qingyan Chen ◽  
Zhiqiang Zhai ◽  
Xueyi You ◽  
Tengfei Zhang

2017 ◽  
Author(s):  
Qingyan Chen ◽  
Zhiqiang Zhai ◽  
Xueyi You ◽  
Tengfei Zhang

Soft Matter ◽  
2020 ◽  
Vol 16 (13) ◽  
pp. 3187-3194 ◽  
Author(s):  
Nathan A. Mahynski ◽  
Runfang Mao ◽  
Evan Pretti ◽  
Vincent K. Shen ◽  
Jeetain Mittal

Inverse design methods are powerful computational approaches for creating colloidal systems which self-assemble into a target morphology by reverse engineering the Hamiltonian of the system.


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