Influence of Weld Simulation on the Microstructure and Fatigue Strength of 2195 Aluminum-Lithium Alloy
Bibliographic record
Abstract
Microstructure, tensile and fatigue properties of 2195 Al-Li alloy in the T8 temper (as-received alloy) and after weld simulation in Gleeble 1500 to temperatures of 550°C and 600°C were studied. The microstructure of the alloy consisted of a pancake shaped grains with the major strengthening precipitates of T 1 phase. The weld simulation resulted in the dissolution of T 1 phase and the formation of G-P zones, δ' particles and dislocations. The higher simulation temperature enhanced the microstructural modification and resulted in larger grain size, more grain boundary precipitates and microcracks or voids. The weld simulation gave rise to a significant decrease in the yield and fatigue strength due to the absence of T 1 phase and other microstructural modifications. Fatigue cracks in the base alloy were observed to initiate generally from the specimen surface, and at the interior defects in the weld simulated specimens, especially after the 600°C simulation. Fatigue striations were typical features observed in the base alloy, while cleavage-like cracking occurred in the alloy after weld simulation.
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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".