Exploring Miniaturized HVOF Systems for the Deposition of Ti-6Al-4V
Bibliographic record
Abstract
Abstract The exceptional properties of Ti-6Al-4V of high strength, lightweight, corrosion resistance and machinability make it one of the most widely used alloys in in the aerospace industry. Significant efforts are underway to establish powder bed additive manufacturing technologies for Ti-6Al-4V. There are also increasing attempts to use thermal and cold spray to build near-net-shaped parts with buildup rates orders of magnitude higher than powder bed. Thermal spraying, such as HVOF, can oxidize and degrade the alloy due to the high processing temperature. Lowering the flame temperature through inert gas addition in full-size HVOF systems is a possible approach to retain solid-state deposition of the feedstock particles, thereby limiting oxidation and detrimental α-case formation, while providing sufficient heat input for particle softening and plastic deformation at impact. Novel miniaturized HVOF systems, with spray jets of only a few millimeters in width, may further offer the possibility to improve the spatial resolution of the buildup for near-net shape forming. The process parameter range for solid-state deposition of Ti-6A-4V using the liquid-fuelled TAFA Model 825 JP id and the novel hydrogen-fuelled Spraywerx ID-NOVA MK-6 with the addition of nitrogen is shown. Buildups at over 80% deposition efficiency generally yield as-sprayed porosities below 3% and hardness above 200 HV 100gf . Attainable microstructures and oxygen content as a function of spray parameters are delineated. Recrystallization and beta-annealing of selected samples lower the residual porosity and can create equiaxed α and intergranular ß-phases. Ultimate tensile strengths of up to 1100 MPa were attained; however, the residual oxygen content of above 0.7% was found to limit β-phase formation, which contributes to a limited elongation to failure.
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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 | 0.001 |
| 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".