Numerical simulation and experimental characterization of a single-seam plasma wire arc additive manufacturing process for Ti-6Al-4V

Arc welding processes are increasingly being used in the additive manufacturing of metal components. Physics-based modeling of welding processes enables the study of welding parameter effects on the final weld shape, residual stress state, and distortion, helping to improve weld quality and reduce costs. However, the quality of the process simulation strongly depends on the mathematical description of the heat source. The parameters of the heat source model have a significant influence on the temperature field and, consequently, on the distortion and residual stress fields. This paper presents a trial-and-error method for determining the parameters for Goldak’s double-ellipsoidal heat source model. The transient temperature distribution and the size of the melt pool are determined through experimental studies. Numerical models are then set up in Simufact Welding 8.0 with a set of heat source parameters to reproduce the experimental trials. By comparing numerical finite element results with experimental results, the heat source parameters for a multi-pass additive manufacturing process are successfully calibrated and identified.

Authors

Publication Details

Journal
Materials Science in Additive Manufacturing
Published
2025-06-17
DOI
https://doi.org/10.36922/msam025140021
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulation and experimental characterization of a single-seam plasma wire arc additive manufacturing process for Ti-6Al-4V

Ernst Kozeschnik, Martin Bielik, Ingo Neubauer, Michael Kitzmantel et al.
Materials Science in Additive Manufacturing
Additive Manufacturing Materials and Processes
article

Numerical simulation and experimental characterization of a single-seam plasma wire arc additive manufacturing process for Ti-6Al-4V

Ernst Kozeschnik, Martin Bielik, Ingo Neubauer, Michael Kitzmantel, Erich Neubauer
article en

Abstract

Arc welding processes are increasingly being used in the additive manufacturing of metal components. Physics-based modeling of welding processes enables the study of welding parameter effects on the final weld shape, residual stress state, and distortion, helping to improve weld quality and reduce costs. However, the quality of the process simulation strongly depends on the mathematical description of the heat source. The parameters of the heat source model have a significant influence on the temperature field and, consequently, on the distortion and residual stress fields. This paper presents a trial-and-error method for determining the parameters for Goldak’s double-ellipsoidal heat source model. The transient temperature distribution and the size of the melt pool are determined through experimental studies. Numerical models are then set up in Simufact Welding 8.0 with a set of heat source parameters to reproduce the experimental trials. By comparing numerical finite element results with experimental results, the heat source parameters for a multi-pass additive manufacturing process are successfully calibrated and identified.

Materials Science in Additive ManufacturingVol. 4(3)
Openalex Percentile: Top 86%
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.

Numerical simulation and experimental characterization of a single-seam plasma wire arc additive manufacturing process for Ti-6Al-4V — Ernst Kozeschnik, Martin Bielik, et al. · Materials Science in Additive Manufacturing (2025) | TGRS Research Map | TGRS