Numerical modelling for the effective thermal conductivity of lithium meta titanate pebble bed with different packing structures

Panchal, Maulik; Chaudhuri, Paritosh; Lew, Jon Van; Ying, Alice

doi:10.1016/j.fusengdes.2016.08.027

Cited by 24 publications

(7 citation statements)

References 9 publications

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“…There are several numerical approaches found in the literature that are used to model the thermal behavior of packed beds [21][22][23]. Panchal et al [24] modeled the ordered and randomly packed beds of Li 2 TiO 3 using FEM approach and studied the effective thermal conductivity and found that results of randomly packed beds agree well with experimental values. Wang et al [25] used FVM to model and investigate the effective thermal conductivity of orderly packed beds and studied the effects of different parameters such as material properties, porosity, particle size, flow rate, and particle-particle contact area.…”

Section: A(s) + B(g) ↔ Ab(s) + Heatmentioning

confidence: 98%

Experimental and numerical investigations for effective thermal conductivity in packed beds of thermochemical energy storage materials

Walayat

Duesmann²,

Derks

et al. 2021

Applied Thermal Engineering

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Section: A(s) + B(g) ↔ Ab(s) + Heatmentioning

confidence: 98%

Experimental and numerical investigations for effective thermal conductivity in packed beds of thermochemical energy storage materials

Walayat

Duesmann²,

Derks

et al. 2021

Applied Thermal Engineering

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“…For a pebble beds applied to energy-related systems, the heat and mass transfer performance of the pebble bed play an important role in the pebble bed application. However, the characteristics of the packing structure of pebble beds, such as packing fraction, porosity and permeability, the contact state (coordination number), and so forth, have a significant influence on the heat transfer behaviors and the flow characteristic of fluids inside pebble beds [15][16][17][18][19][20][21][22][23][24][25][26][27][28]. For example, the average porosity and porosity distribution in the bed have a significant influence on the pressure drop and fluid velocity distribution inside a pebble bed [23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Effect of Pebble Size Distribution and Wall Effect on Inner Packing Structure and Contact Force Distribution in Tritium Breeder Pebble Bed

et al. 2021

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In the tritium breeding blanket of nuclear fusion reactors, the heat transfer behavior and thermal-mechanical response of the tritium breeder pebble bed are affected by the inner packing structure, which is crucial for the design and optimization of a reliable pebble bed in tritium breeding blanket. Thus, the effect of pebble size distribution and fixed wall effect on packing structure and contact force in the poly-disperse pebble bed were investigated by numerical simulation. The results show that pebble size distribution has a significant influence on the inner packing structure of pebble bed. With the increase of the dispersion of pebble size, the average porosity and the average coordination number of the poly-disperse pebble bed gradually decrease. Due to the influence of the fixed wall, the porosity distribution of the pebble bed shows an obvious wall effect. For poly-disperse pebble bed, the influenced region of the wall effect gradually decreases with the increase of the dispersion of pebble size. In addition, the gravity effect and the pebble size distribution have an obvious influence on the contact force distribution inside the poly-disperse pebble bed. The majority of the contact force are weak contact force that is less than the average contact force. Only a few of pebbles have strong contact force that is greater than average contact force. This investigation can help in analyzing the pebble crushing characteristics and the thermal hydraulic analysis in the poly-disperse tritium breeder pebble bed.

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“…Effective thermal conductivity was calculated by hot wire heating method in some studies.

k_{eff}

was also calculated under various heating conditions of the bed, most of which were external heating of the bed with different sizes and shapes of the particles 18‐24 . Some of the researchers have also calculated the effective thermal conductivity by numerical methods 25 .…”

Section: Introductionmentioning

confidence: 99%

“…k eff was also calculated under various heating conditions of the bed, most of which were external heating of the bed with different sizes and shapes of the particles. [18][19][20][21][22][23][24] Some of the researchers have also calculated the effective thermal conductivity by numerical methods. 25 Table 1 briefly summarizes the modeling and experimental validation work done on the packed bed with various method of heating to calculate heat transfer characteristics.…”

Section: Introductionmentioning

confidence: 99%

Modeling and validation of heat transfer in packed bed with internal heat generation

et al. 2020

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Several researchers have modeled the heat transfer in a packed bed, heated externally, and determined its effective thermal conductivity (keff). But till date, very few researchers have studied the heat transfer of the pebble bed, where the heat is generated inside the bed; and the effective thermal conductivity of the packed bed with internal heat generation has not yet been reported. In the present work, heat generation inside the bed has been imitated by inductively heating randomly placed steel balls with lithium titanate (Li2TiO3) pebbles. The system has been modeled and validated with experimental results. The keff of the Li2TiO3 pebble bed is determined for various process conditions. A correlation has been developed to calculate the keff based on various process parameters such as pebble diameter, air flow rate, and induction temperature. The result presented in this study will be used for the design and scale‐up studies of future fusion reactors.

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Numerical modelling for the effective thermal conductivity of lithium meta titanate pebble bed with different packing structures

Cited by 24 publications

References 9 publications

Experimental and numerical investigations for effective thermal conductivity in packed beds of thermochemical energy storage materials

Experimental and numerical investigations for effective thermal conductivity in packed beds of thermochemical energy storage materials

Effect of Pebble Size Distribution and Wall Effect on Inner Packing Structure and Contact Force Distribution in Tritium Breeder Pebble Bed

Modeling and validation of heat transfer in packed bed with internal heat generation

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