Effect of Nitration Agents and Soft Wood Treatment on Nitrogen Content and Uniformity of Nitrocellulose
Bibliographic record
Abstract
Nitrocellulose samples(NC) with A,B,C,and D grade were synthesized by nitrating Canadian softwood in HNO_3/H_2SO_4/H_2O and HNO_3/CH_2Cl_2,respectively.The nitrogen content and nitrogen content distribution(uniformity of nitration) of nitrocellulose were analyzed by a polarizing microscope.Using high-pressure steam explosion technology,soft wood was treated before processing.The effect of steam explosion treatment on the nitrogen content distribution of high nitrogen B and low nitrogen D grade NC was discussed.Results show that the nitrogen content distribution of nitration product from HNO_3/CH_2C1_2 is more uniform than that of product from HNO_3/H_2SO_4/H_2O under the same nitrogen content condition.Uniformities of nitration indicators of N C of A,B,C and D grade improve by 16.9%、17.5%、16.8%and 25.7%Respectively.Steam explosion preprocess can improve nitrogen content and uniformity of product in the same nitrification system because the efficiency of nitration agents diffusion to cellulose fiber interior is improved by this treatment,and thus the uniformity for B grade NC can increase by 6.06%and for D grade NC by 7.56%.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".