Fabrication of Ti/HDPE composites for medical implants by using titanium hydride
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An effective approach for minimizing the stress-shielding effect of orthopedic implants is to use implant materials with bone-matching modulus. Ti/polymer composites formed by infiltration of a polymer into porous Ti preforms are considered promising for such applications due to their tailorable elastic modulus, good corrosion resistance and potentially high mechanical performance. In this work, a fabrication process has been developed to produce porous Ti preforms from titanium hydride powders. The sintering kinetics studies showed that titanium obtained from titanium hydride had a lower sintering activation energy of 85± kJ/mol, as compared to 93±3 kJ/mol for normal titanium powders. The lower sintering activation energy resulting from the fresh and clean (non-oxide covered) particle surfaces after dehydration has led to faster sintering (lower sintering temperature) for titanium powders derived from titanium hydride. The fabrication process using titanium hydride offers a low production cost and low interstitial contaminants (oxygen, nitrogen, carbon, and hydrogen). High density polyethylene (HDPE) was infiltrated into the porous titanium preforms produced from titanium hydride to fabricate Ti/HDPE composites. The relation of flexural modulus and flexural strength of the composites with the HDPE volume fraction was established. It was found that Ti/HDPE composites with 30-38% volume of HDPE showed a similar flexural modulus to the of the human bone, while the bending strength is higher than the of human bone.
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.
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 | 0.000 |
| 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 it