Abstract
In the Air Force Research Laboratory Additive Manufacturing Challenge Series, melted track geometries for a laser powder bed fusion (L-PBF) process of Inconel 625 were used to challenge and validate computational models predicting melting and solidification behavior. The impact of process parameters upon single-track single-layer, multi-track single-layer, and single-track multi-layer L-PBF processes was studied. To accomplish this, a physics-based thermal-fluid model was developed and calibrated using a proper generalized decomposition surrogate model, then compared against the experimental measurements. The thermal-fluid model was enhanced through the usage of an adaptive mesh and residual heat factor (RHF) model, based on the scanning strategy, for improved efficiency and accuracy. It is found that this calibration approach is not only robust and efficient, but it also enables the thermal-fluid model to make predictions which quantitatively agree well with the experimental measurements. The adaptive mesh provides over a 10-times speedup as compared to a uniform mesh. The RHF model improves predictive accuracy by over 60%, particularly near starting and ending points of the melted tracks, which are greatly affected by the thermal behavior of adjacent tracks. Moreover, the thermal-fluid model is shown to potentially predict lack-of-fusion defects and provide insights into the defect generation process in L-PBF.
Original language | English (US) |
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Pages (from-to) | 177-195 |
Number of pages | 19 |
Journal | Integrating Materials and Manufacturing Innovation |
Volume | 10 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2021 |
Funding
W. K. Liu acknowledges the support by the Center for Hierarchical Materials Design (CHiMaD) under Grant No. 70NANB14H012 and NSF Grant CMMI-1934367. Z. Gan and Y. Lu acknowledge the partial support of NSF Grants CMMI-1934367 and 1762035. K. Jones acknowledges the support by the Murphy Fellowship from Northwestern University and NSF Grant CMMI-1934367. We extend our appreciation to Dr. Edwin Schwalbach, Marie Cox, and the AM Challenge Series committee for their work and leadership in providing this valuable forum for the AM research community.
Keywords
- Additive manufacturing
- Calibration and validation
- Lack of fusion
- Melt pool dynamics
- Ni-based alloy
- Proper generalized decomposition
ASJC Scopus subject areas
- General Materials Science
- Industrial and Manufacturing Engineering