Effect of homogenization on high temperature deformation behaviour of AA3xxx aluminum alloys
Bibliographic record
Abstract
The effect of homogenization practice and alloy Mn content on the dispersoid density and high temperature constitutive behaviour of AA3xxx aluminum alloys has been studied. Experimental work was conducted on three as-cast alloys with different Mn compositions: AA3102 (0.26 wt% Mn), an intermediate Mn alloy (0.75 wt% Mn), and AA3003 (1.27 wt% Mn). Homogenization treatments were conducted at soak temperatures from 500 to 630°C and times of 1 to 24 hours. The evolution of microstructure during homogenization (at 600°C over a soak time of 24 hours) was characterized using electrical conductivity measurements and optical microscopy. Electrical conductivity measurements were used to estimate the variation of Mn in solid solution during homogenization. Qualitative observations of constituent particle morphology and dispersoid precipitation/dissolution were made. Compression tests were conducted using a Gleeble 3500 thermomechanical simulator at strain rates (0.1 to 10s-1) and deformation temperatures (300 to 600°C) experienced during the industrial extrusion of AA3xxx alloys. Yield stress, flow stress, and work hardening results were obtained from the compression tests and a physically-based constitutive model was employed to describe the results. The model was used to quantify the effect of homogenization practice and alloy Mn content on constitutive behaviour. Homogenized microstructure observations were combined with model results to determine the effect of dispersoid density on constitutive behaviour. Extrusion trials were performed on Rio Tinto Alcan’s state-of-the-art research extrusion press located at the Alcan Research and Development Center in Jonquiere, Quebec. AA3102 and AA3003 alloys were extruded in as-cast and homogenized conditions at temperatures of 400 and 500°C. Extrusion pressure results were used to develop a relationship between extrusion pressure and flow stress.
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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 | 0.001 |
| 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".