Electrochemical mechanisms and performance regulation of ultrasonic-assisted zinc electrowinning

Ultrasound-assisted zinc electrodeposition represents a promising strategy for process intensification, though its fundamental electrochemical mechanisms require deeper exploration. This study systematically elucidates the sonoelectrochemical mechanisms governing zinc electrodeposition through a multi-technique approach. The effects of ultrasound (40 kHz, 0-30 W) on interfacial transport, nucleation kinetics, and deposit formation were investigated using chronopotentiometry, electrochemical impedance spectroscopy, Tafel analysis, and chronoamperometry. Results demonstrate that ultrasound induces a mechanistic transition from progressive to instantaneous nucleation while substantially enhancing mass transfer-reducing the diffusion layer thickness and charge transfer resistance by 28 %. Optimal performance at 10 W ultrasonic power yielded a 9 % reduction in cell voltage and 13 % lower energy consumption. Morphological and structural analyses confirmed that ultrasound promotes denser, smoother deposits with refined grains and preferred (002) orientation. This work provides both mechanistic insights and experimental validation for ultrasound-assisted zinc electrodeposition, establishing a foundation for its application in energy-efficient zinc production.

Authors

Institutions

Publication Details

Journal
Ultrasonics Sonochemistry
Published
2025-12-06
DOI
https://doi.org/10.1016/j.ultsonch.2025.107705
Citations
3
Primary Topic
Electrodeposition and Electroless Coatings
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrochemical mechanisms and performance regulation of ultrasonic-assisted zinc electrowinning

Hu Tu, Yunan Gao, Xiaowei Sheng, Yuanyuan Huang et al.
3 citations
Ultrasonics Sonochemistry
Electrodeposition and Electroless Coatings
2.19
article

Electrochemical mechanisms and performance regulation of ultrasonic-assisted zinc electrowinning

Hu Tu, Yunan Gao, Xiaowei Sheng, Yuanyuan Huang, Linqing Dai, Hongying Xia, Lin Guo, Shiwei Li, Kun Zhang, Shixing Wang, Jiayu Zhu, Likang Fu
article en
3 citations

Abstract

Ultrasound-assisted zinc electrodeposition represents a promising strategy for process intensification, though its fundamental electrochemical mechanisms require deeper exploration. This study systematically elucidates the sonoelectrochemical mechanisms governing zinc electrodeposition through a multi-technique approach. The effects of ultrasound (40 kHz, 0-30 W) on interfacial transport, nucleation kinetics, and deposit formation were investigated using chronopotentiometry, electrochemical impedance spectroscopy, Tafel analysis, and chronoamperometry. Results demonstrate that ultrasound induces a mechanistic transition from progressive to instantaneous nucleation while substantially enhancing mass transfer-reducing the diffusion layer thickness and charge transfer resistance by 28 %. Optimal performance at 10 W ultrasonic power yielded a 9 % reduction in cell voltage and 13 % lower energy consumption. Morphological and structural analyses confirmed that ultrasound promotes denser, smoother deposits with refined grains and preferred (002) orientation. This work provides both mechanistic insights and experimental validation for ultrasound-assisted zinc electrodeposition, establishing a foundation for its application in energy-efficient zinc production.

Ultrasonics SonochemistryVol. 124
Kunming University of Science and Technology (CN)
Openalex Percentile: Top 11%
Electrodeposition and Electroless Coatings
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.