Controlling coating thickness distribution for a complex geometry with the help of simulation

Abstract This paper aims to develop a proper and valid simulation model for electroplating complex geometries. Since many variables influence the quality of the deposited coating and its thickness distribution, it is challenging to conduct efficient research only through experiments. In contrast, simulation can be an efficient way to optimize the electroplating experiments. Despite its potential, simulation has seen limited commercial use in the electroplating industry due to its inherent complexity and difficulty in achieving accurate precision for intricate geometries. The present study addresses the aspects that can enhance the electroplating simulation’s accuracy, which has been typically overlooked in the literature, such as the effect of current efficiency and its dependency on the current density, the input data for the electrode kinetics, the surface topology changes, and the differences between 2 and 3D simulations. The simulation model was validated by experimental results related to the coating thickness of Ni plating on a T-joint geometry. The results showed good agreement with the experimental ones, confirming the model’s ability to precisely predict the coating thickness and distribution and promote its broader utilization in the industry. Finally, the developed model was used to determine the optimal current density regime for achieving uniform coating thickness distribution on a T-joint sample.

Authors

Institutions

Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2024-09-06
DOI
https://doi.org/10.1007/s00170-024-14337-6
Citations
3
Primary Topic
Fluid Dynamics and Thin Films
Type
article
Field-Weighted Citation Impact
1.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Controlling coating thickness distribution for a complex geometry with the help of simulation

Donya Ahmadkhaniha, Maximilian Sieber, Caterina Zanella
3 citations
The International Journal of Advanced Manufacturing Technology
Fluid Dynamics and Thin Films
1.12
article

Controlling coating thickness distribution for a complex geometry with the help of simulation

Donya Ahmadkhaniha, Maximilian Sieber, Caterina Zanella
article en
3 citations

Abstract

Abstract This paper aims to develop a proper and valid simulation model for electroplating complex geometries. Since many variables influence the quality of the deposited coating and its thickness distribution, it is challenging to conduct efficient research only through experiments. In contrast, simulation can be an efficient way to optimize the electroplating experiments. Despite its potential, simulation has seen limited commercial use in the electroplating industry due to its inherent complexity and difficulty in achieving accurate precision for intricate geometries. The present study addresses the aspects that can enhance the electroplating simulation’s accuracy, which has been typically overlooked in the literature, such as the effect of current efficiency and its dependency on the current density, the input data for the electrode kinetics, the surface topology changes, and the differences between 2 and 3D simulations. The simulation model was validated by experimental results related to the coating thickness of Ni plating on a T-joint geometry. The results showed good agreement with the experimental ones, confirming the model’s ability to precisely predict the coating thickness and distribution and promote its broader utilization in the industry. Finally, the developed model was used to determine the optimal current density regime for achieving uniform coating thickness distribution on a T-joint sample.

The International Journal of Advanced Manufacturing Technology
Medical Components (United States) (US), Jönköping University (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Fluid Dynamics and Thin Films
1.12
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.

Controlling coating thickness distribution for a complex geometry with the help of simulation — Donya Ahmadkhaniha, Maximilian Sieber, et al. · The International Journal of Advanced Manufacturing Technology (2024) | TGRS Research Map | TGRS