Optimization of energy distribution over time for solid dielectric electrochemical polishing for additively manufactured parts

Metal additive manufacturing (MAM) processes inevitably result in high surface roughness due to factors such as the step and balling effects, especially on the side surfaces parallel to the build direction. This severely limits their applicability in precision applications. Therefore, surface post-processing of MAM components is critical. Solid dielectric electrochemical polishing (SDECP) is an eco-friendly method that effectively addresses the high initial surface roughness of MAM components. This study investigates the effect of different processing energy distributions on polishing performance by adjusting the electric pulse duty cycle during SDECP at a constant current. Energy distributions, including 50%, 70%, and 90% duty cycle pulses, as well as direct current (DC), are experimentally tested, yielding surface roughness reductions of 70.3%, 74.1%, 85.2%, and 85.0%, respectively. These experimental results, along with SEM images, reveal that larger duty cycles lead to better polishing performance, while DC pulses cause pitting corrosion. This study offers valuable insights into the efficient surface post-processing of MAM components.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.06.002
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of energy distribution over time for solid dielectric electrochemical polishing for additively manufactured parts

Chaojiang Li, Jiang Wang, Shenggui Liu, Yuxin Yang et al.
Procedia CIRP
Additive Manufacturing Materials and Processes
article

Optimization of energy distribution over time for solid dielectric electrochemical polishing for additively manufactured parts

Chaojiang Li, Jiang Wang, Shenggui Liu, Yuxin Yang, Dongyi Zou
article en

Abstract

Metal additive manufacturing (MAM) processes inevitably result in high surface roughness due to factors such as the step and balling effects, especially on the side surfaces parallel to the build direction. This severely limits their applicability in precision applications. Therefore, surface post-processing of MAM components is critical. Solid dielectric electrochemical polishing (SDECP) is an eco-friendly method that effectively addresses the high initial surface roughness of MAM components. This study investigates the effect of different processing energy distributions on polishing performance by adjusting the electric pulse duty cycle during SDECP at a constant current. Energy distributions, including 50%, 70%, and 90% duty cycle pulses, as well as direct current (DC), are experimentally tested, yielding surface roughness reductions of 70.3%, 74.1%, 85.2%, and 85.0%, respectively. These experimental results, along with SEM images, reveal that larger duty cycles lead to better polishing performance, while DC pulses cause pitting corrosion. This study offers valuable insights into the efficient surface post-processing of MAM components.

Procedia CIRPVol. 137
Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Affordable and clean energy
Openalex Percentile: Top 77%
Additive Manufacturing Materials and Processes
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.

Optimization of energy distribution over time for solid dielectric electrochemical polishing for additively manufactured parts — Chaojiang Li, Jiang Wang, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS