Localization of plastic deformation at weld seams of porthole die Al-Mg-Si extrusions
Bibliographic record
Abstract
This study investigates the localization of plastic strain near the weld seams of porthole die extruded Al-Mg-Si alloys with primarily unrecrystallized microstructures, relevant to post-forming or crash scenarios. A link was established between the crystallographic texture and the plastic response of the material at a local level. Optical metallography and electron backscatter diffraction (EBSD) were used to systematically characterize the microstructure and textures in the extrudates. It was found that a variation in bridge geometry produced very different patterns of textures near the weld seams. To determine the effect of the texture patterns, a slip system level polycrystal plasticity code was used to simulate the mechanical response for each region of similar texture. The predicted properties were then used to fit a Barlat YLD2004-18p anisotropic yield function, and finite element method (FEM) simulations were conducted using the yield functions as inputs. The results revealed a match between the simulated patterns of strain localization and the experimental strain patterns observed via a micro-scale digital image correlation (DIC) technique for each bridge case. These findings establish crystallographic texture as a primary factor affecting the mechanical behaviour of extruded profiles, opening the door to influencing the weld seam properties through the control of crystallographic texture using die bridge design.
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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".