A Study on the Effect of Gap Width on Residual Stresses of Laser-Welded Dissimilar Joints
Bibliographic record
Abstract
Laser-welded parts experience high local temperatures and severe heating-cooling cycles which lead to large local residual stresses. These stresses introduce unacceptable degradation of the mechanical properties of a weldment. Thermo-elasto plastic analyses with 3-D FE models, as well as experimental investigations were performed in order to predict temperature distribution and residual stresses of ND-YAG laser-welded joints with various gap widths between the dissimilar steel types of austenitic and precipitation-hardening stainless steel. The specimens have the shape of a pocket to optimize the weight of the structure, which consists of a thin skin (AISI304) and a thick skeleton (AISI630). The residual stresses at the surface of the weldments were measured using the instrumented indentation method. The residual stresses and melt-pool zone (MPZ) profiles show good agreement between the theoretical and experimental results. Considering the residual stresses, the allowable gap width range of the laser-welded joints for the pocket-shaped specimen was calculated. For a welding joint with gap widths, the longitudinal residual stress values at the yield stress level were observed. Melt-pool zone profiles described by the underfill and penetration depth also depend upon the gap size.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".