Thermal radiation effects in phase-change energy-storage systems

Yimer, B.

doi:10.1016/0360-5442(96)00034-5

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…Usually, the high-temperature phase change contains complex thermal physical processes, and the temperature and heat transfer depend on multiple physical mechanisms, especially the radiative heat transfer mechanism. So, simulating hightemperature phase change process accurately and obtaining the thermophysical properties of the participating medium are still an unsolved problem and need further study (Fuentes et al, 2013;Makhanlall and Liu, 2010;Maroufi and Aghanajafi, 2013;Yimer, 1996). Recently, the laser measurement technology combined with inverse problem optimization algorithms is widely applied to study the radiative heat transfer and measure thermophysical properties in the high-temperature phase change process (Zhang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Estimation of radiative heat transfer and phase change in participating medium from TD radiation measurement signals with PCA approach

Mao

et al. 2019

JTST

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Time-domain (TD) pulse laser is employed as the measurement laser to solve the inverse problem of radiative heat transfer and phase change in the participating medium. The finite volume method and an improved stochastic particle swarm optimization (ISPSO) algorithm are employed as the direct and inverse problem algorithms, respectively. Moreover, an optimal selection principle of the TD dimensionless boundary temperature measurement signals based on the principle component analysis (PCA) approach is proposed to improve the retrieval accuracy in retrieving the Stefan number St and the conduction to radiation parameter N. Results show that the TD dimensionless boundary temperature measurement signals obtained within dimensionless time selected within [0.05tp*, 0.8tp*] helps with the improvement in the retrieval accuracy. Moreover, compared with the SPSO algorithm, the ISPSO can avoid local optima and improve convergence accuracy, and reasonable results can be obtained even with 5% random measurement errors. As a whole, the present methodology provides a reliable and effective technique to study the inverse problem of radiative heat transfer and phase change in participating medium.

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Section: Introductionmentioning

confidence: 99%

Estimation of radiative heat transfer and phase change in participating medium from TD radiation measurement signals with PCA approach

Mao

et al. 2019

JTST

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“…Laser heating semitransparent medium has received great attention in the last two decades [1][2][3][4][5][6][7][8]. Since the phase change involves complex thermal physical processes, the temperature is depends on multiple physical mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Solving inverse problems of radiative heat transfer and phase change in semitransparent medium by using Improved Quantum Particle Swarm Optimization

Zhang

Sun

et al. 2015

International Journal of Heat and Mass Transfer

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Numerical modelling of solidification processes of semitransparent materials using the enthalpy and the finite volume methods

Łapka

Furmański

2007

Heat Mass Transfer

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Thermal radiation effects in phase-change energy-storage systems

Cited by 6 publications

References 8 publications

Estimation of radiative heat transfer and phase change in participating medium from TD radiation measurement signals with PCA approach

Estimation of radiative heat transfer and phase change in participating medium from TD radiation measurement signals with PCA approach

Solving inverse problems of radiative heat transfer and phase change in semitransparent medium by using Improved Quantum Particle Swarm Optimization

Numerical modelling of solidification processes of semitransparent materials using the enthalpy and the finite volume methods

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