DEVELOPMENT OF LOW SMOKE ZERO HALOGEN POLYMER COMPOSITE FOR WIRE AND CABLE APPLICATION
Bibliographic record
Abstract
Polymers are used in a multitude of applications in our daily lives, including components in wire and cable industries. While polymers are very versatile and useful materials, they are not thermally stable and when exposed to heat, can break down and lead to fire spread. In order to overcome this, flame retardant additives are introduced to a polymer system, providing flame retardancy. However, flame retardants that pose a risk to the environment and human health are in the process of being banned by many governments. Low smoke zero halogen flame retardants do not pose a large risk to human health and the environment, and the motivation for this study arises from the need of continuing development into flame resistant materials that use flame retardants that have no known environmental effects. This thesis studies the capabilities of low smoke zero halogen polymer composites in a few areas such as flame retardancy, thermal stability, and mechanical performance. The change in flame retardancy, thermal stability, and mechanical performance from neat material to polymer composite is characterized, along with how different processing conditions of the composite affect the compatibility of polymer and additive. How well the polymer composites perform compared to targeted performance values is evaluated, and an analysis is completed to determine the specific effect each additive has on the outcome of the polymer composites performance. The thesis provided a basis of knowledge behind the mechanisms of flame retardant additives, and supplied information on how different additives could be used in a multitude of polymer matrices. The work also demonstrated the effectiveness of phosphorus based and nitrogen based flame retardants had on the flame retardancy and thermal stability of a polyolefin matrix blend. This study focused on a small segment of the large variety of flame retardant additives available to use, in a multitude of differing variations. The research into developing flame retardant systems is an expanding field.
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 | 0.000 | 0.000 |
| 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".