The Influence of Mo Additions on Physical, Microstructure and Mechanical Properties in Commercially Pure Ti Manufactured by MIM Process
Bibliographic record
Abstract
Molybdenum (Mo) is one of the beta-phase stabilisers in titanium, garnering significant interest by modifying the properties of commercially pure Ti (CP-Ti) suitable for biomedical applications. Being a non-toxic alloying element with reasonable cost, Mo can enhance mechanical properties through solution strengthening. In this study, five amounts of Mo content (0, 5, 7.5, 10, 15 wt.%) were added to CP-Ti manufactured by the metal injection moulding (MIM) process. Three sintering temperatures of 1100, 1150 and 1250 C for 4 h were applied. The properties of the sintered specimens were evaluated through density, impurity contents, microstructure, tensile testing, and observation of the fracture surfaces. The results indicate that higher Mo contents lead to an increased amount of beta phase and higher tensile strength from 600 to 1100 MPa with 0 to 15 wt.% Mo. However, excessively high Mo content contributes to low ductility due to the formation of TiC precipitated at the grain boundaries. In this study, the 5 wt.% Mo addition specimen shows the most balanced mechanical properties.
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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".