Experimental study on solid dielectric electrochemical polishing for high-roughness metal additive manufacturing surfaces

Surface quality remains a critical challenge for metal additive manufacturing (MAM) parts. Solid dielectric electrochemical polishing (SDECP) shows potential for polishing MAM components with high roughness and complex geometries; however, the effects and interactions of its process parameters have not yet been clarified. In this study, we employ design of experiments (DOE) methods, including the Taguchi method (TM) and response surface methodology (RSM), to investigate the effects of key parameters such as electrolyte composition, voltage, duty cycle, and anode movement speed. The main effects and interactions of these factors on surface roughness reduction performance in SDECP are analyzed using analysis of variance (ANOVA), signal-to-noise (S/N) ratios, main effects plots, response surfaces, and contour plots. Three-dimensional profiles and micromorphology of SDECP-treated surfaces reveal that pores formed during the MAM process are critical factors affecting surface quality. A regression model is developed to clarify the relationship between SDECP parameters and the surface roughness reduction rate of MAM surfaces. This model is then used to optimize parameter combinations, with its effectiveness confirmed by experimental validation. This work provides an optimized set of parameters for SDECP and offers valuable insights into the surface post-processing of MAM parts with high initial roughness.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2026-03-14
DOI
https://doi.org/10.1016/j.jmrt.2026.03.139
Primary Topic
Advanced Surface Polishing Techniques
Type
article
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article

Experimental study on solid dielectric electrochemical polishing for high-roughness metal additive manufacturing surfaces

Sihan Liu, Chaojiang Li, Guodong Liu, Yuxin Yang
Journal of Materials Research and Technology
Advanced Surface Polishing Techniques
article

Experimental study on solid dielectric electrochemical polishing for high-roughness metal additive manufacturing surfaces

Sihan Liu, Chaojiang Li, Guodong Liu, Yuxin Yang
article en

Abstract

Surface quality remains a critical challenge for metal additive manufacturing (MAM) parts. Solid dielectric electrochemical polishing (SDECP) shows potential for polishing MAM components with high roughness and complex geometries; however, the effects and interactions of its process parameters have not yet been clarified. In this study, we employ design of experiments (DOE) methods, including the Taguchi method (TM) and response surface methodology (RSM), to investigate the effects of key parameters such as electrolyte composition, voltage, duty cycle, and anode movement speed. The main effects and interactions of these factors on surface roughness reduction performance in SDECP are analyzed using analysis of variance (ANOVA), signal-to-noise (S/N) ratios, main effects plots, response surfaces, and contour plots. Three-dimensional profiles and micromorphology of SDECP-treated surfaces reveal that pores formed during the MAM process are critical factors affecting surface quality. A regression model is developed to clarify the relationship between SDECP parameters and the surface roughness reduction rate of MAM surfaces. This model is then used to optimize parameter combinations, with its effectiveness confirmed by experimental validation. This work provides an optimized set of parameters for SDECP and offers valuable insights into the surface post-processing of MAM parts with high initial roughness.

Journal of Materials Research and TechnologyVol. 42
Beijing Institute of Technology (CN), Beijing Research Institute of Mechanical and Electrical Technology (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 23%
Advanced Surface Polishing Techniques
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