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Research Papers: Melting and Solidification

The Lattice Boltzmann Investigation for the Melting Process of Phase Change Material in an Inclined Cavity

[+] Author and Article Information
Zhonghao Rao

School of Electrical and Power Engineering,
China University of Mining and Technology,
Xuzhou 221116, China
e-mail: raozhonghao@cumt.edu.cn

Yutao Huo, Yimin Li

School of Electrical and Power Engineering,
China University of Mining and Technology,
Xuzhou 221116, China

1Corresponding author.

Presented at the 2016-ASME 5th Micro/Nanoscale Heat & Mass Transfer International Conference. Paper No. MNHMT2016-6343.Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received May 24, 2016; final manuscript received August 30, 2017; published online October 4, 2017. Assoc. Editor: Robert D. Tzou.

J. Heat Transfer 140(1), 012301 (Oct 04, 2017) (11 pages) Paper No: HT-16-1295; doi: 10.1115/1.4037908 History: Received May 24, 2016; Revised August 30, 2017

The solid–liquid phase change process is of importance in the usage of phase change material (PCM). In this paper, the phase change lattice Boltzmann (LB) model has been used to investigate the solid–liquid phase change in an inclined cavity. Three heat flux distributions applied to the left wall are investigated: uniform distribution, linear distribution, and parabolic symmetry distribution. The results show that for all the heat flux distributions, the slight clockwise rotation of the cavity can accelerate the melting process. Furthermore, when more heat is transferred to the cavity through the middle part (parabolic symmetry distribution) or bottom part (linear distribution) of left wall, clockwise rotation of cavity leads to larger temperature of PCM.

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Figures

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Fig. 1

The schematic of phase change LB model

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Fig. 2

Schematic of Newman boundary using FVM

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Fig. 3

The variations of (a) maximum and (b) average dimensionless temperature with uniform heat flux distribution

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Fig. 4

The variations of (a) standard deviation of temperature and (b) average Nusselt number with uniform heat flux distribution

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Fig. 5

The variations of (a) total liquid fraction and (b) η with uniform heat flux distribution

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Fig. 6

The dimensionless temperature contours with uniform heat flux distribution

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Fig. 7

The variations of (a) maximum and (b) average dimensionless temperature with linear heat flux distribution

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Fig. 8

The variations of (a) standard deviation of temperature and (b) average Nusselt number with linear heat flux distribution

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Fig. 9

The variations of (a) total liquid fraction and (b) η with linear heat flux distribution

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Fig. 10

The dimensionless temperature contours with linear heat flux distribution (cst = 0.016)

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Fig. 11

The variations of maximum dimensionless temperature with parabolic symmetry heat flux distribution

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Fig. 12

The variations of average dimensionless temperature with parabolic symmetry heat flux distribution

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Fig. 13

The variations of (a) standard deviation of temperature and (b) average Nusselt number with parabolic symmetry heat flux distribution

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Fig. 14

The variations of (a) total liquid fraction and (b) η with parabolic symmetry heat flux distribution

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Fig. 15

The dimensionless temperature contours with parabolic symmetry heat flux distribution (b = 0.12)

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