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An Improved PID Controller Based on Artificial Neural Networks for Cathodic Protection of Steel in Chlorinated Media
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作者 JoséArturo Ramírez-Fernández Henevith G.Méndez-Figueroa +3 位作者 Sebastián Ossandón Ricardo Galván-Martínez MiguelÁngel Hernández-Pérez Ricardo Orozco-Cruz 《Computers, Materials & Continua》 2026年第3期624-640,共17页
In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawate... In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawater,and NS4 using electrochemical impedance spectroscopy(EIS)to monitor the evolution of the substrate surface,which affects the current required to reach the protection potential(Eprot).Experimental data were collected as training datasets and analyzed using statistical methods,including box plots and correlation matrices.Subsequently,ANNs were applied to predict the current demand at different exposure times,enabling the estimation of electrochemical parameters(limiting voltage values)that can be used to optimize a self-regulating ICCP system.The obtained electrochemical parameters were then used,through Particle Swarm Optimization(PSO),to fine-tune an ANN-based proportional-integral-derivative(PID)controller for the ICCP system. 展开更多
关键词 Artificial neural networks(ANNs) corrosion impressed current cathodic protection(ICCP) proportional integral derivative(PID)corrosion control particle swarm optimization(PSO) statistical analysis
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Regulation of solvation structure and electrochemical performance optimization in Zn(NH_(2)SO_(3))_(2)-based electrolytes
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作者 Lei Liu Ruxue Yan +6 位作者 Songyan Jiang Xiao Liu Zhonghua Zhang Xiaosong Guo Xingguang Liu Jun Zheng Guicun Li 《Journal of Energy Chemistry》 2025年第5期644-654,共11页
Monovalent anions,with relatively low charge density,exhibit weak bond energy with Zn^(2+)ions,which facilitates the solubility of Zn salts and the regulation of solvation structures.In this study,zinc bis(aminosulfat... Monovalent anions,with relatively low charge density,exhibit weak bond energy with Zn^(2+)ions,which facilitates the solubility of Zn salts and the regulation of solvation structures.In this study,zinc bis(aminosulfate)(Zn(NH_(2)SO_(3))_(2))with a monovalent anion,NH_(2)SO_(3)^(-),was synthesized and dissolved in different ratios of dimethyl sulfoxide(DMSO)and H_(2)O as electrolytes for Zn-ion batteries(ZIBs).From the perspective of game theory,the influences of DMSO and H_(2)O on the solvation structure and electrochemical performance of the Zn(NH_(2)SO_(3))_(2)based electrolytes has been meticulously discussed.Computations and spectra analysis indicate that DMSO molecules are reluctant to penetrate the primary solvation structure of Zn^(2+)ions.Indeed,increasing DMSO in electrolytes can induce a transition from solvent-separated ion pairs(SSIP)to contact ion pairs(CIP),resulting in an enrichment of anions in the primary solvation structure.This alteration can significantly suppress parasitic reactions,enhance nucleation density,and refine the deposition morphology during the Zn plating process,leading to superior cyclic stability and high coulombic efficiency(CE)of Zn//Cu and Zn//Zn cells.However,the enrichment of anions in the primary solvation structure also inhibits the activity of Zn^(2+)ions,amplifies the polarization effect,and engenders a sluggish ionization dynamics,resulting in the low energy conversion efficiency of the battery.These findings underscore the influence of the anion ratio within the primary solvation structure on electrochemical properties of electrolytes for ZIBs,which may be a pivotal determinant in the Zn deposition process. 展开更多
关键词 Monovalent anion Primary solvation structure impressed current cathodic protection Game theory CIP
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