Optimizing aluminum content in DZ409 alloy: Analysis of microstructural and mechanical properties for high-temperature applications
Bibliographic record
Abstract
This research investigates the microstructural characteristics of DZ409 alloys. It explores how varying aluminum (Al) contents by weight (3.42–4.22 wt. %) influenced carbide size, volume fraction, and phase distribution in both as-cast and heat-treated states. The results of this study revealed that the size of Metallic Carbide (MC) carbides exhibited a non-linear trend, initially increasing and subsequently decreasing with a higher Al content. Similar trends were observed in the size and area fraction of the γ/γ′ eutectic phase. Post-heat treatment analysis demonstrated that increased Al content significantly impacted interdendritic and dendritic stem phases, leading to augmented volume and size. The mechanical properties of the heat treatment associated with the DZ409 alloy were also analyzed, which showed some notable enhancement in the tensile strength and yield strength. The stress life analysis at 980 °C/MPa also indicates the increased Al content on alloy performance. The findings highlight the pivotal role of Al in terms of improved microstructural attributes and mechanical properties of DZ409 alloys. To conclude, optimizing the Al content can potentially improve the functionality and durability of DZ409 alloy, making them particularly suitable for high-temperature environments, such as gas turbine applications.
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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".