Heat and mass transfer in spatially oscillating laser powder bed fusion
Why this work is in the frame
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Bibliographic record
Abstract
Spatially oscillating laser powder bed fusion (SO-LPBF) presents an attractive approach to dynamic beam shaping, fundamentally altering what is possible in terms of heat and mass transfer during laser-based metal 3D printing. This study offers a systematic process characterisation of SO-LPBF, employing in-situ multimodal imaging to capture detailed melt pool and spatter dynamics. Ex-situ profilometry, metallurgical characterisation and EBSD analysis show the effect of beam stirring on the deposited bead geometries and microstructures. We develop comprehensive process maps by correlating our observations with dimensionless parameters, effective fluence metrics, and semi-analytical modelling. Our findings reveal that properly tuned oscillation parameters create a "thermal reservoir" effect, enhancing melt pool stability and suggesting the potential of processing thicker powder layers. This leads to a potential doubling of productivity with existing technology and lays the groundwork for further scaling. The detailed insights and scaling guidelines presented here serve as a valuable resource for optimising SO-LPBF, advancing it as a highly efficient and versatile additive manufacturing technique.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it