Numerical Simulation of Multiple Physical Fields for the Preparation of Magnesium Hydroxide by Electrodeposition

doi:10.12068/j.issn.1005-3026.2024.05.006

Abstract

Abstract:

For the optimization of the process of preparing flaky magnesium hydroxide by electrodeposition， a multi‐physics coupling method was used to simulate the two‐dimensional unsteady state of magnesium hydroxide preparation by electrodeposition. The voltage， current density， electrolyte flow field， and gas distribution of the electrolyte are obtained under different plate spacing and plate placement depths. The effect of plate parameters on the electric and flow fields during electrolytic cell operation was analyzed. The research results show that the cell voltage decreases when the plate placement depth is reduced. However， reduced plate placement depth hinders electrolyte fluidity， which is detrimental to the reaction. Reducing the plate spacing can enhance mass transfer and reduce the working voltage， but it also worsens the uniformity of the chemical reaction distribution on the plates. To achieve faster electrolyte flow， lower cell voltage， and more uniform current distribution， the plate placement depth should be increased as much as possible， and the plate spacing should be adjusted appropriately.

Key words: electrodeposition, multiphysics, magnesium hydroxide, numerical simulation

CLC Number:

TK 124

Jin-song ZUO, Yue-zhong DI, Dian-qiao GENG. Numerical Simulation of Multiple Physical Fields for the Preparation of Magnesium Hydroxide by Electrodeposition[J]. Journal of Northeastern University(Natural Science), 2024, 45(5): 652-659.

Figures/Tables 20

Fig.1 Geometric model of electrolytic cell

Table 1 Geometric parameters of electrolytic cell

电解槽			极板
长度/cm	高度/cm		厚度/cm	板长/cm
16.3	19.3		0.3	9.5

Table 2 Boundary conditions

边界	电场	流场	浓度场
1	$j = 400$ A·m^-2	$C l 2$ 入口液体壁面	反应速率 $R 1 = - j n F$ mol·m^-3·s^-1
2	$φ = 0$ V	$H 2$ 入口液体壁面	反应速率 $R 2 = - j n F$ mol·m^-3·s^-1
3	$j = - σ ? φ$	液体壁面	$N i =$ $? - D i ? c i$ $- z i u m, ? i F c i ? φ l$
4	绝缘	气体出口	无通量
5	绝缘	液体壁面	无通量

Table 2 Boundary conditions

边界	电场	流场	浓度场
1	$j = 400$ A·m^-2	$C l 2$ 入口液体壁面	反应速率 $R 1 = - j n F$ mol·m^-3·s^-1
2	$φ = 0$ V	$H 2$ 入口液体壁面	反应速率 $R 2 = - j n F$ mol·m^-3·s^-1
3	$j = - σ ? φ$	液体壁面	$N i =$ $? - D i ? c i$ $- z i u m, ? i F c i ? φ l$
4	绝缘	气体出口	无通量
5	绝缘	液体壁面	无通量

Fig.2 Comparison of experiment and numerical

Fig.3 Vertical gas volume fraction

Fig.4 Gas volume fraction distribution at 300 s

Fig.5 Average electrolyte flow velocity at different plate spacing

Fig.6 Electrolyte flow velocity at 300 s

Fig.7 Cell voltage at different plate spacing

Fig.8 Inner cathode current density at different plate spacing

Fig.9 Current density distribution of electrolyte at 300s

Fig.10 Electrolyte potential of the inner surface of the cathode plate at different plate spacing

Fig.11 Cell voltage at different placement depths

Fig.12 Inner surface current density of the cathode at different placement depths

Fig.13 Current density distribution at 300 s

Fig.14 Electrolyte potential at different placement depths

Fig.15 Average electrolyte flow velocity at different placement depths

Fig.16 Electrolyte flow velocity distribution at 300 s

Fig.17 Vertical gas volume fraction

Fig.18 Gas volume fraction distribution at 300 s

References 16

1	Ren M Y， Yang M， Li S L，et al.High throughput preparation of magnesium hydroxide flame retardant via microreaction technology［J］.RSC Advances，2016，6（95）：92670-92681.
2	潘年明，薛晨.氢氧化镁乳液的制备及其在脱硫中的应用［J］.应用化工，2017，46（7）：1331-1334.
	Pan Nian‑ming， Xue Chen.Preparation of magnesium hydroxide emulsion and its application in desulfurization［J］.Applied Chemical Industry，2017，46（7）：1331-1334，1339.
3	Ganigué R， Jiang G M， Sharma K，et al.Online control of magnesium hydroxide dosing for sulfide mitigation in sewers：algorithm development，simulation analysis，and field validation［J］.Journal of Environmental Engineering，2016，142（12）：04016069.
4	Guo M Y， Muhammad F， Wang A F，et al.Magnesium hydroxide nanoplates： a pH‑responsive platform for hydrophobic anticancer drug delivery［J］.Journal of Materials Chemistry B，2013，1 （39）：5273-5278.
5	王禹博，马亚丽，徐少伟，等.氢氧化镁及氧化镁制备和应用的研究进展［J］.辽宁化工，2021，50（3）：378-382.
	Wang Yu‑bo， Ma Ya‑li， Xu Shao‑wei，et al.Research progress in the preparation and application of magnesium hydroxide and magnesium oxide［J］.Liaoning Chemical Industry，2021，50（3）：378-382.
6	Van der Merwe E M， Strydom C， Botha A.Hydration of medium reactive industrial magnesium oxide with magnesium acetate［J］.Journal of Thermal Analysis and Calorimetry，2004，77（1）：49-56.
7	马广超，狄跃忠，彭建平，等.青海盐湖水氯镁石利用技术现状［J］.矿产保护与利用，2019，39（3）：160-166.
	Ma Guang‐chao， Di Yue‐zhong， Peng Jian‐ping，et al.Utilization technical status of bischofite in qinghai salt lake［J］.Conservation and Utilization of Mineral Resources，2019，39（3）：160-166.
8	邓信忠.水氯镁石电沉积制备氢氧化镁及其改性研究［D］.沈阳：东北大学，2017.
	Deng Xin‑zhong.Study on preparation of magnesium hydroxide from bischofite by electrodeposition method and modification of magnesium hydroxide［D］.Shenyang：Northeastern University，2017.
9	Rodríguez J， Amores E.CFD modeling and experimental validation of an alkaline water electrolysis cell for hydrogen production［J］.Processes，2020，8（12）：1634.
10	Chen Y N， Mojica F， Li G F，et al.Experimental study and analytical modeling of an alkaline water electrolysis cell［J］.International Journal of Energy Research，2017，41（14）：2365-2373.
11	Bideau D L， Mandin P， Benbouzid M，et al.Eulerian two‐fluid model of alkaline water electrolysis for hydrogen production［J］.Energies，2020，13（13）：3394.
12	Oliaii E， Désilets M， Lantagne G.Effect of the design parameters on mass transfer and energy consumption inside a lithium electrolysis cell［J］.Journal of Applied Electrochemistry，2018，48 （6）：725-737.
13	Zhao Q W， Liu C L， Sun Z，et al.Analysing and optimizing the electrolysis efficiency of a lithium cell based on the electrochemical and multiphase model［J］.Royal Society Open Science，2020，7（1）：191124.
14	Meléndez J M， Désilets M， Lantagne G，et al.Effect of bubbles and liquid drops fluid dynamics on the lithium recombination inside a lithium electrolytic cell with diaphragm［J］.Journal of the Electrochemical Society，2022，169（2）：026516.
15	Comsol.Electrochemistry module user’s guide［M］.6.0 ed.Stockholm：Comsol，1998.
16	Liu C L， Sun Z， Lu G M，et al.Experimental and numerical investigation of two‑phase flow patterns in magnesium electrolysis cell with non‑uniform current density distribution［J］.The Canadian Journal of Chemical Engineering，2015，93（3）：565-579.

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