The current and future trends of composite materials: an experimental study
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
The usages of the composite materials range from simple household to light-to-heavy industrial purposes including oilfield applications. The objective of this study is to evaluate current and potential uses of composite materials for the petroleum industry. This article gathered all the available composite materials that are normally used specially in oilfield and surface pipeline applications. Out of those, four fiberglass-reinforced plastic materials (i.e., AR-glass, boron-free E-glass, C-glass, and E-glass) were selected to conduct an experiment in acidic and alkaline environments. The results show that AR-glass is corrosion resistant at high temperature and high acidic and alkaline environments. The weight loss due to corrosion is less than the other three materials. Boron-free E-glass is also better than C-glass and E-glass, especially in acidic environment. Another aspect of this research is to find out a research gateway toward the development of sustainable composites. When toxic components are used during the development of new materials, nowadays, this becomes an issue for environmental groups. Therefore, this study suggests the researchers to look for an environment-friendly, sustainable composite material that can be widely used in the petroleum industry. Finally, the trend of future research has been outlined and an indication of sustainable composite material choice has been proposed for oilfield applications.
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 | 0.001 | 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 it