Determination of temperature-dependent crystallographic parameters of Al–Si alloys using <i>in situ</i> neutron diffraction
Bibliographic record
Abstract
Accurate evaluation of temperature-dependent lattice spacings of individual phases in complex engineering alloys enables analysis and design of enhanced components for high-temperature applications. However, typical characterization techniques are limited to measurements at temperatures at which the alloy is completely solid state. In this study, in situ neutron diffraction was performed to determine the crystallographic parameters of several phases in unmodified and Sr-modified Al–6 wt% Si and A319 alloys from the start of solidification to 423 K. Approximately linear correlations were found for the interplanar spacings and lattice parameters of Al, Si, Al 5 Mg 8 Cu 2 Si 6 and Al 15 (Fe,Mn) 3 Si 2 phases with temperature for the entire measured range. The greater concentration of lattice-contracting elements dissolved in the A319 solid solutions resulted in smaller lattice spacings and larger coefficients of thermal expansion than the same phases in Al–6 wt% Si, yet eutectic modification with Sr did not produce noticeable changes in the crystallographic parameters. The Si phase was found to have the largest thermal expansion coefficient misfit with the Al matrix. These findings offer significant insight into the development and mitigation of thermal stresses in the processing and operation of engineering components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".