Improvement of Anode Corrosion Uniformity of Copper Electrolysis Cell Based on Multi-physical Field Coupling Theory

doi:10.11902/1005.4537.2022.142

Journal of Chinese Society for Corrosion and protection

2023, Vol. 43

Issue (3): 663-670 DOI: 10.11902/1005.4537.2022.142

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Improvement of Anode Corrosion Uniformity of Copper Electrolysis Cell Based on Multi-physical Field Coupling Theory

SHANG Xiaobiao¹^,²(

), XIAO Renyou¹, LI Jiajian¹, ZHANG Zhihao¹

^1.Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
^2.National Local Joint Laboratory of Engineering Application of Microwave Energy and Equipment Technology, Kunming 650093, China

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Abstract

For improving the copper anode corrosion uniformity and the current efficiency of the copper electrolytic refining process, herewith, based on the multi-physical field coupling theory, the corrosion behavior of the copper positive plate of the copper electrolytic refining cell was studied in terms of the effect of the synergy of the stress and strain, and local corrosion reaction, as well as the bottom radius of the anode plate on the positive electrode corrosion current density distribution and the thinning uniformity of the anode plate. The results show that when the bottom fillet radius of the anode increases from 2 mm to 12 mm, the current density mutation rate on the anode plate decreases by 6.18%. The uniformity of anode thinning rate was improved by 43.44%. When the fillet radius is 8 mm, the current efficiency is the highest, reaching 99.18%. By optimizing the geometrical shape of electrode plate, the uniformity of thinning rate and current efficiency of the anode plate are effectively improved, which provides a theoretical guidance for further optimizing the structure of electrolytic cell for reducing energy consumption, as well as improving the thinning uniformity of electrode plate.

Key words: copper electrolytic cell anodic corrosion numerical simulation current efficiency

Received: 08 May 2022 32134.14.1005.4537.2022.142

ZTFLH:

TF811

Fund: National Natural Science Foundation of China(51864030);Key Project of Yunnan Provincial Department of Science and Technology(202101AS070023)

Corresponding Authors: SHANG Xiaobiao, E-mail: shang21st@163.com

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Cite this article:

SHANG Xiaobiao, XIAO Renyou, LI Jiajian, ZHANG Zhihao. Improvement of Anode Corrosion Uniformity of Copper Electrolysis Cell Based on Multi-physical Field Coupling Theory. Journal of Chinese Society for Corrosion and protection, 2023, 43(3): 663-670.

URL:

https://www.jcscp.org/EN/10.11902/1005.4537.2022.142 OR https://www.jcscp.org/EN/Y2023/V43/I3/663

Fig.1 Size and structure of electrolytic cell model

Fig.2 Mesh element quality (MEQ) distribution (a) and statistics (b) of the geometry model

Electrolyte physical parameter^[19,20]	Function expression	Unit
Density ρ	1034.8+2.178[Cu]+0.531[H]-0.677T	kg/m³
Viscosity μ	(1.39+0.00746[Cu]+0.0343[H])exp $1792 T$ ×10^-6	Pa·s
Diffusion coefficient D	(2.87-0.019[Cu]-0.0086[H]+1.67T)×10^-10	m²/s
Conductivity k	0.134-0.00356[Cu]+0.00249[H]+0.00426T	s/cm

Table 1 Physical property parameters of electrolyte

Fig.3 Electrolyte potential distribution: (a) validation model results, (b) literature calculation results

Fig.4 Electrode surface current density at different fillet radii

Fig.5 Current density curves under different fillet radii

Fig.6 Anode current density range

Fig.7 Anodic corrosion thickness changes with different fillet radii

Fig.8 Corrosion thickness of left side of anode under different fillet radii

Fig.9 Uniformity coefficient of anodic corrosion thickness with different fillet radii

Fig.10 Current efficiency of different fillet radii

1	Schlesinger M E, King M J, Sole K C, et al. Extractive Metallurgy of Copper [M]. 5th ed. Amsterdam: Elsevier, 2011
2	Zhang H B, Chen G T, Zhang X B, et al. Method and practice of improving current efficiency of copper electrowinning [J]. Nonferrous Met. Eng. Res., 2017, 38(5): 24
	张海宝, 陈耿涛, 章小兵等. 提高铜电积电流效率的方法与实践 [J]. 有色冶金设计与研究, 2017, 38(5): 24
3	Pan T Y. A brief talk on the current efficiency of copper electrolytic refining [J]. Popular Sci. Technol., 2014, 16(9): 191
	潘泰屹. 浅谈铜电解精炼的电流效率 [J]. 大众科技, 2014, 16(9): 191
4	Jiang C X, Chen G M, He Y P, et al. Application of simulation in hydrometallurgical zinc and copper smelting [J]. Mater. Sci. Technol., 2021, 29(5): 70
	蒋春翔, 陈国木, 何亚鹏等. 模拟仿真在湿法炼锌和炼铜中的应用 [J]. 材料科学与工艺, 2021, 29(5): 70
5	Ma R Y, Zhao L, Wang C G, et al. Influence of hydrostatic pressure on the thermodynamics and kinetics of metal corrosion [J]. Acta Metall. Sin., 2019, 55: 281 doi: 10.11900/0412.1961.2018.00215
	马荣耀, 赵林, 王长罡等. 静水压力对金属腐蚀热力学及动力学的影响 [J]. 金属学报, 2019, 55: 281 doi: 10.11900/0412.1961.2018.00215
6	Yu D Z, Zhang T, Niu W T. Simulation analysis of stress corrosion of H62 copper alloy [J]. J. Phys.: Conf. Ser., 2021, 1748: 062052
7	Zeng Q Y, Meng Y, Li C, et al. Temperature effect of interelectrode short-circuit of copper electrolytic cell [J]. Hydrometall China, 2020, 39: 429
	曾箐雨, 蒙毅, 李纯等. 铜电解槽的极间短路温度效应 [J]. 湿法冶金, 2020, 39: 429
8	Wang J M, Yang H D, Du M, et al. Corrosion of B10 Cu-Ni alloy in seawater polluted by high concentration of NH₄ ⁺ [J]. J. Chin. Soc. Corros. Prot., 2021, 41: 609
	王家明, 杨昊东, 杜敏等. B10铜镍合金在高浓度NH₄ ⁺污染海水中腐蚀研究 [J]. 中国腐蚀与防护学报, 2021, 41: 609 doi: 10.11902/1005.4537.2020.222
9	Zhang Y F, Yuan X G, Huang H J, et al. Corrosion behavior of Cu-Al laminated board in neutral salt fog environment [J]. J. Chin. Soc. Corros. Prot., 2021, 41: 241
	张艺凡, 袁晓光, 黄宏军等. 铜铝层状复合板中性盐雾腐蚀行为研究 [J]. 中国腐蚀与防护学报, 2021, 41: 241
10	Wang Z H, Bai Y, Ma X, et al. Numerical simulation of galvanic corrosion for couple of Ti-alloy with Cu-alloy in seawaters [J]. J. Chin. Soc. Corros. Prot., 2018, 38: 403
	王振华, 白杨, 马晓等. 钛合金和铜合金管路电偶腐蚀数值仿真 [J]. 中国腐蚀与防护学报, 2018, 38: 403 doi: 10.11902/1005.4537.2017.113
11	Doche O, Bauer F, Tardu S. Direct numerical simulation of an electrolyte deposition under a turbulent flow-A first approach [J]. J. Electroanal. Chem., 2012, 664: 1 doi: 10.1016/j.jelechem.2011.10.003
12	Pohjoranta A, Mendelson A, Tenno R. A copper electrolysis cell model including effects of the ohmic potential loss in the cell [J]. Electrochim. Acta, 2010, 55: 1001 doi: 10.1016/j.electacta.2009.09.073
13	Mandin P, Cense J M, Fabian C, et al. Electrodeposition process modeling using continuous and discrete scales [J]. Comput. Chem. Eng., 2007, 31: 980 doi: 10.1016/j.compchemeng.2006.10.018
14	Kim K R, Choi S Y, Paek S, et al. Electrochemical hydrodynamics modeling approach for a copper electrowinning cell [J]. Int. J. Electrochem. Sci., 2013, 8: 12333
15	Werner J M, Zeng W, Free M L, et al. Editors' choice—modeling and validation of local electrowinning electrode current density using two phase flow and nernst-planck equations [J]. J. Electrochem. Soc., 2018, 165: E190 doi: 10.1149/2.0581805jes
16	Adachi K, Nakai Y, Kitada A, et al. FEM simulation of nodulation in copper electro-refining [A]. KimH, WesstromB, AlamS, et al. Rare Metal Technology 2018 [M]. Cham: Springer, 2018: 215
17	Zhou X, Yang W D. Production practice of process modification of copper stripping cell in copper electrolysis system [J]. China Nonferrous Metall., 2017, 46(1): 30
	周旋, 杨文栋. 铜电解生产系统脱铜槽工艺改进的生产实践 [J]. 中国有色冶金, 2017, 46(1): 30
18	Lin B Q, Li H, Chen Z W, et al. Sensitivity analysis on the microwave heating of coal: a coupled electromagnetic and heat transfer model [J]. Appl. Therm. Eng., 2017, 126: 949 doi: 10.1016/j.applthermaleng.2017.08.012
19	Subbaiah T, Das S C. Physico-chemical properties of copper electrolytes [J]. Metall. Mater. Trans., 1989, 20B: 375
20	Price D C, Davenport W G. Densities, electrical conductivities and viscosities of CuSO₄/H₂SO₄ solutions in the range of modern electrorefining and electrowinning electrolytes [J]. Metall. Trans., 1980, 11B: 159
21	Lazarev S I, Abonosimov O A, Protasov D N, et al. Mathematical model of electromembrane separation of copper-electroplating production solutions [J]. Theor. Found. Chem. Eng., 2020, 54: 208 doi: 10.1134/S0040579519060071
22	Cheddie D, Munroe N. Review and comparison of approaches to proton exchange membrane fuel cell modeling [J]. J. Power Sources, 2005, 147: 72 doi: 10.1016/j.jpowsour.2005.01.003
23	Liu C, Li G Q, Zhang L F, et al. A three-dimensional comprehensive numerical model of ion transport during electro-refining process for scrap-metal recycling [J]. Materials, 2022, 15: 2789 doi: 10.3390/ma15082789
24	Dai G Q, Zeng C, Bian F S, et al. Improvement of thickness uniformity of gold coatings electroplated on the leads of microwave printed circuits [J]. Electroplat. Finish., 2018, 37: 687
	戴广乾, 曾策, 边方胜等. 微波印制电路引线镀金厚度均匀性的改善 [J]. 电镀与涂饰, 2018, 37: 687
25	Zhou N. Analysis and control of the electrode short circuit of traditional copper electrolysis [J]. Copper Eng., 2018, (2): 63
	周楠. 铜电解极间短路的分析与控制 [J]. 铜业工程, 2018, (2): 63

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