Numerical simulation of balling behavior in metal powder bed fusion process using particle method

A new computational method is proposed to simulate the balling phenomenon during powder bed fusion (PBF) metal additive manufacturing processing. The method combines the discrete element method (DEM), which simulates powder behavior, and smoothed particle hydrodynamics (SPH) method, which simulates fluid and elastoplastic behavior. Balling is a phenomenon by which spherical defects form on a product surface because of surface tension and poor wettability between the molten metal and the surrounding powder or solidified material. This phenomenon is particularly evident in materials with high surface tension, which can cause discontinuities in the melting path and which can affect manufacturing quality. Simulating such complex behavior necessitates consideration not only of the molten metal behavior (including surface tension), the metal powder and solidified metal behaviors, and the melting and solidification phenomena: it also includes their mutual interactions. The proposed method can simulate these processes. Moreover, performing simulations under conditions of various combinations of laser power and scanning speed confirm qualitatively that the proposed method captures the balling phenomenon. The proposed method can capture trends of experimentally obtained results obtained from earlier studies, i.e., under the same laser energy per unit area, the balling phenomenon becomes more likely to occur as the scanning speed and laser power increase. This approach can be a valuable tool for optimizing manufacturing conditions and for improving the quality of metal additive manufacturing processes.

Authors

Institutions

Publication Details

Journal
The International Journal of Advanced Manufacturing Technology
Published
2026-01-30
DOI
https://doi.org/10.1007/s00170-025-17381-y
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

Numerical simulation of balling behavior in metal powder bed fusion process using particle method

Yuichi Motoyama, Yuki Wakai, Hitoshi Tokunaga, Toshimitsu Okane et al.
The International Journal of Advanced Manufacturing Technology
Additive Manufacturing Materials and Processes
article

Numerical simulation of balling behavior in metal powder bed fusion process using particle method

Yuichi Motoyama, Yuki Wakai, Hitoshi Tokunaga, Toshimitsu Okane, Satoshi Kajino, Naoki SETO, Naoko Sato, Shinsuke Suzuki
article en

Abstract

A new computational method is proposed to simulate the balling phenomenon during powder bed fusion (PBF) metal additive manufacturing processing. The method combines the discrete element method (DEM), which simulates powder behavior, and smoothed particle hydrodynamics (SPH) method, which simulates fluid and elastoplastic behavior. Balling is a phenomenon by which spherical defects form on a product surface because of surface tension and poor wettability between the molten metal and the surrounding powder or solidified material. This phenomenon is particularly evident in materials with high surface tension, which can cause discontinuities in the melting path and which can affect manufacturing quality. Simulating such complex behavior necessitates consideration not only of the molten metal behavior (including surface tension), the metal powder and solidified metal behaviors, and the melting and solidification phenomena: it also includes their mutual interactions. The proposed method can simulate these processes. Moreover, performing simulations under conditions of various combinations of laser power and scanning speed confirm qualitatively that the proposed method captures the balling phenomenon. The proposed method can capture trends of experimentally obtained results obtained from earlier studies, i.e., under the same laser energy per unit area, the balling phenomenon becomes more likely to occur as the scanning speed and laser power increase. This approach can be a valuable tool for optimizing manufacturing conditions and for improving the quality of metal additive manufacturing processes.

The International Journal of Advanced Manufacturing TechnologyVol. 142(11-12)
Waseda University (JP), Institute of Technologists (JP), National Institute of Advanced Industrial Science and Technology (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 74%
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.