Implementation for Model of Adsoptive Hydrogen Storage Using UDF in Fluent
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
This paper builds an axisymmetrical geometry model and simulates the charging, domancy, discharging and domancy processes of hydrogen storage tank based on activated carbon bed in a steel container at room temperature (302K) and medium storage pressure (10 MPa). The CFD model is based on the mass, momentum and energy conservation equations of the hydrogen storage system formed of gaseous and adsorbed hydrogen, activated carbon bed and steel tank wall. The adsorption model is based on Dubinin-Astakov adsorption isotherms. The simulation is implemented using a finite volume method through the computational fluid dynamics commercial software Fluent. User defined functions (UDFs) hooked in Fluent software are given to set the boundary conditions or modify the mass and energy conservation equations.The simulating results have good agreement with experimental results. Results show that the temperature of central region is higher than that near the wall during the charging process,while the temperature of central region is lower than that near the wall during the discharging process.The amount of adsorbed hydrogen is greater than that of the compressed gaseous hydrogen. Hydrogen storage by adsorption on high surface area activated carbon has obvious advantages.
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) | 0.000 | 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 it