Performance Testing of a Multi-Component Powder Coating System
Bibliographic record
Abstract
A number of new coatings offer the possibility for cost savings and/or improved performance. As a shielding coating, the resistance of a high-integrity three-layer coating to disbondment in damaged areas and as a function of applied cathodic potential is of interest with regard to the creation of an environment on the pipe that will support corrosion and/or cracking. The cathodic disbondment (CD) behavior of a multi-component powder coating system has been characterized under simulated field conditions (restrictive mass transport using soils), rather than the standard CSA protocol. The as-received coating displayed excellent impedance properties and minimal disbondment under normal operating conditions. Coated panels were furthermore subjected to impact damage and a hot water soak prior to the CD tests. Results showed minimal disbondment of the multi-component powder coating system over 3 to 6 months regardless of impact damage or temperature. There was some evidence that more negative potentials may increase the disbondment area over longer periods of time. However, mechanistic considerations, literature information, experimental observations and field experiences would suggest that coating disbondment might be limited when the coating is properly applied and otherwise in good condition. Longer-term experiments are required to confirm the presence of a maximum size disbondment.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".