Optimization of Process Parameters to Minimize Porosity and Splash in Cold Metal Transfer and Pulse Wire Arc Additive Manufacturing of High‐Strength Aluminum Alloy

This article examines the application of advanced cold metal transfer plus pulse composite arc technology for the thin‐walled additive manufacturing of high‐strength aluminum alloy AA2024. Response surface methodology is employed to design experiments and variance analysis is utilized to assess the model's reliability. Results are further optimized and validated using the non‐dominated sorting genetic algorithm II. The focus is on optimizing key process parameters—wire feeding speed, interlayer temperature, protective gas flow rate, and welding wire elongation—to minimize porosity and splash. A comprehensive analysis of parameter interactions is conducted using contour maps and response surface plots. The findings indicate that wire elongation most significantly affects porosity, while wire feeding speed has the greatest impact on splash. The optimized parameters effectively reduce grain size under low heat input conditions, decrease hydrogen‐induced porosity and solidification defects, achieving a porosity rate of 0.46% and a splash rate of 0.83%.

Authors

Institutions

Publication Details

Journal
Advanced Engineering Materials
Published
2025-03-06
DOI
https://doi.org/10.1002/adem.202402155
Citations
5
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
3.57

Funders

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

Optimization of Process Parameters to Minimize Porosity and Splash in Cold Metal Transfer and Pulse Wire Arc Additive Manufacturing of High‐Strength Aluminum Alloy

Tiangang Zhang, Xuecheng Lu, Pan Gong, Shuai Zhuo et al.
5 citations
Advanced Engineering Materials
Additive Manufacturing Materials and Processes
3.57
article

Optimization of Process Parameters to Minimize Porosity and Splash in Cold Metal Transfer and Pulse Wire Arc Additive Manufacturing of High‐Strength Aluminum Alloy

Tiangang Zhang, Xuecheng Lu, Pan Gong, Shuai Zhuo, Hongli Liu, Zhiqiang Zhang, Junpei Yan, Dongquan Wu
article en
5 citations

Abstract

This article examines the application of advanced cold metal transfer plus pulse composite arc technology for the thin‐walled additive manufacturing of high‐strength aluminum alloy AA2024. Response surface methodology is employed to design experiments and variance analysis is utilized to assess the model's reliability. Results are further optimized and validated using the non‐dominated sorting genetic algorithm II. The focus is on optimizing key process parameters—wire feeding speed, interlayer temperature, protective gas flow rate, and welding wire elongation—to minimize porosity and splash. A comprehensive analysis of parameter interactions is conducted using contour maps and response surface plots. The findings indicate that wire elongation most significantly affects porosity, while wire feeding speed has the greatest impact on splash. The optimized parameters effectively reduce grain size under low heat input conditions, decrease hydrogen‐induced porosity and solidification defects, achieving a porosity rate of 0.46% and a splash rate of 0.83%.

Advanced Engineering MaterialsVol. 27(7)
Nanyang Technological University (SG), Civil Aviation University of China (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City, State Key Laboratory of Materials Processing and Die and Mould Technology, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 8%
Additive Manufacturing Materials and Processes
3.57
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.