Multiscale modeling of grain structure control in wire arc additive manufacturing of Ti6Al4V

To address the challenges of microstructural control and the correlation between process parameters and grain morphologies in wire arc additive manufacturing (WAAM), a three-dimensional multiscale model incorporating macroscopic finite element modeling (FEM) and microscopic phase-field modeling (PFM) was developed. The results indicate that temperature variations in space G and temperature variations in the time domain R are the main factors determining the relationship between the macroscopic process parameters and the microstructure in WAAM. An increase in the melt pool geometry leads to a decrease in G / R and an increase in G × R , which promotes the transformation from columnar to equiaxed grains and results in a decrease in the microscopic grain size. Increasing the scanning speed from 300 to 600 mm/min resulted in a 28.6% decrease in the equiaxed grain average area and a 15.97% decrease in the average columnar grain width. Extending the interlayer cooling time reduced the columnar grain average width by 11.7% and the equiaxed grain average area by 11.1%.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-02-10
DOI
https://doi.org/10.1016/j.jmrt.2025.02.019
Citations
5
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
3.57

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article

Multiscale modeling of grain structure control in wire arc additive manufacturing of Ti6Al4V

Yonggang Zheng, Xiang Gao, Xinxin Yao, Yifei Wang et al.
5 citations
Journal of Materials Research and Technology
Additive Manufacturing Materials and Processes
3.57
article

Multiscale modeling of grain structure control in wire arc additive manufacturing of Ti6Al4V

Yonggang Zheng, Xiang Gao, Xinxin Yao, Yifei Wang, Limin Liu, Hongyang Wang, Zhao Zhang, Gang Song
article en
5 citations

Abstract

To address the challenges of microstructural control and the correlation between process parameters and grain morphologies in wire arc additive manufacturing (WAAM), a three-dimensional multiscale model incorporating macroscopic finite element modeling (FEM) and microscopic phase-field modeling (PFM) was developed. The results indicate that temperature variations in space G and temperature variations in the time domain R are the main factors determining the relationship between the macroscopic process parameters and the microstructure in WAAM. An increase in the melt pool geometry leads to a decrease in G / R and an increase in G × R , which promotes the transformation from columnar to equiaxed grains and results in a decrease in the microscopic grain size. Increasing the scanning speed from 300 to 600 mm/min resulted in a 28.6% decrease in the equiaxed grain average area and a 15.97% decrease in the average columnar grain width. Extending the interlayer cooling time reduced the columnar grain average width by 11.7% and the equiaxed grain average area by 11.1%.

Journal of Materials Research and TechnologyVol. 35
Dalian University of Technology (CN), University of Michigan–Dearborn (US)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Additive Manufacturing Materials and Processes
3.57
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Multiscale modeling of grain structure control in wire arc additive manufacturing of Ti6Al4V — Yonggang Zheng, Xiang Gao, et al. · Journal of Materials Research and Technology (2025) | TGRS Research Map | TGRS