The Mechanism of Titanium Hydride Formation on Grade-2 Titanium
Bibliographic record
Abstract
ASTM Grade-2 titanium (Ti-2) is a commercially pure grade widely used for its corrosion resistance in extreme environments. Therefore, Ti-2 has found applications within industries such as oil and gas, chemical processing, and nuclear power, where it is used for components such as reaction vessels, piping, and heat exchangers. Challenges with the fabrication process result in relatively high amounts of iron in commercial materials such as Grade-2, Grade-7, and Grade-12, which all have a maximum tolerance of 0.3 wt.% iron. The amount of iron present in titanium has been shown to have a significant effect on the microstructure and corrosion behaviour [1] . For example, Fe will precipitate and form Ti x Fe intermetallic particles (IMPs) along grain boundaries if the local solubility limit is exceeded. Many of the corrosion processes (e.g., crevice corrosion) that determine the long-term integrity of Ti are strongly affected by the presence of IMPs [1] . Another detrimental corrosion scenario is the formation of titanium hydride (TiH x ), which can precipitate on the surface and/or in the bulk material when the hydrogen concentration is high enough. Formation of TiH x phases increases the susceptibility of the metal to cracking, as the hydride is less ductile than the metal and its formation results in a strain-inducing volume increase within the matrix. Despite the proven importance of IMPs to the corrosion behaviour of Ti, and the detrimental effects of hydride formation on the material’s integrity, a direct relationship between IMPs and TiH x formation is not well established. There is some evidence that titanium hydride formation initiates at IMPs [2] , but a complete mechanistic understanding is missing. In this study, the initiation and propagation mechanism of TiH x formation on Ti-2 is being investigated over a 24-hour period. Hydrides were grown galvanostatically in a simulated crevice corrosion environment. The surface was analyzed at various times using field emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDX), focused ion beam (FIB) milling, and X-ray diffraction (XRD). By visualizing TiH x within the matrix using FE-SEM, we determined that titanium hydride formation initiates at IMPs and then grows both laterally and vertically around the IMP. After reaching a depth of ~ 4 µm below the surface of the IMP, the hydride stops growing vertically but continues to spread laterally across the Ti grain face until full surface coverage is reached. Finally, a steady-state condition is reached, in which hydride is present as a uniformly distributed layer across the surface with a thickness of ~ 4 μm. Additionally, the electrochemical potential values during the galvanostatic hydride growth process and the amount of hydride detected using XRD both support the hypothesis of the hydride growing rapidly before reaching a limited thickness. [1] X. He, J. J. Noël, D. W. Shoesmith, Corrosion 2004 , 60 , 378–386. [2] Q. Tan, Z. Yan, H. Wang, D. Dye, S. Antonov, B. Gault, Scr. Mater. 2022 , 213 , 114640.
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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 | 0.002 | 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 | 0.002 |
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".