Analysing the Influence of Geometry and Tool Paths for a Laser-Based DED Application
Bibliographic record
Abstract
Abstract This study examines the coupled effects of geometry type and toolpath patterns on residual stresses and strains in parts manufactured using laser-based Directed Energy Deposition (DED). Finite Element Method (FEM) simulations were conducted for four distinct geometries, each subjected to three different tool-path strategies: one-way longitudinal, longitudinal zigzag, and one-way transverse. The plastic strain is highly correlated with the maximum temperature within the deposition. The longer walls also gain higher strains in the deposition direction. The highest tensile strains were observed in the upper layers of the structures, while the mid-layers exhibited the maximum principal residual stresses. Additionally, thin walls are more sensitive to deposition patterns than thick walls due to limited heat dissipation. These insights provide a foundation for optimizing toolpath strategies in laser-based DED processes, aiming at improved mechanical performance and reduced distortion in complex geometries.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".