Oxidation Resistance of Additively Manufactured Inconel 718 for Gas Turbine Applications
Bibliographic record
Abstract
This research investigates the oxidation behaviour of an additively manufactured (AM) superalloy Inconel 718 and compares its oxidation performance to that of wrought Inconel 718.A plasma arc additive manufacturing process was developed and utilized to manufacture the AM specimens.All specimens were subjected to exposures at 800°C and 900°C.The oxidized specimens were analysed using Scanning Electron Microscopy (SEM) and Energy Dispersive Spectroscopy (EDS).Both surface oxide and cross-section microstructure were examined, in addition to microstructure changes in the substrate.The results showed that the two alloys had similar weight changes over the periods of 50-400 hours at both temperatures.However, the microstructure changes on the surface and in the substrate were different.The thickness of the chromia oxide scale formed on AM Inconel 718 was consistently thinner than that on the wrought specimens.There was also more internal oxidation on the AM specimens, particularly after longer exposure at high temperature.In addition, the formation of a subscale Nb-rich layer was observed between outer chromia and substrate on all specimens, except on the AM specimens exposed to 800°C for 100 hours, this layer contributed to the integrity of the chromia oxide layer.Based on the preliminary results, it was concluded that the AM material, when exposed to 900°C, had slightly inferior oxidation performance than the wrought alloy, attributable a thicker and more stable chromia oxide layer and to less internal oxidation.
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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 | 0.000 |
| 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) | 0.001 | 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".