Electrophoretic Deposition of Polyetheretherketone Composites, Containing Huntite and Alumina Platelets
Bibliographic record
Abstract
Cationic and anionic polyelectrolytes were investigated for the application as charging agents for the electrophoretic deposition (EPD) of polyetheretherketone (PEEK) and composite coatings, containing huntite or alumina platelets. The use of cationic chitosan (CT) allowed for the fabrication of PEEK coatings by cathodic EPD. Anodic PEEK coatings were prepared using sodium alginate (AL) and poly[1-[4-(3-carboxy-4-hydroxyphenylazo)benzenesulfonamido]-1,2-ethanediyl, sodium salt] (PAZO). The EPD of huntite and PEEK-huntite composites was achieved using AL and PAZO. The EPD of alumina and PEEK-alumina coatings was performed using PAZO. The comparison of the experimental results and molecular structures of AL and PAZO provided an insight into the influence of salicylate ligands of PAZO on adsorption of this polyelectrolyte on inorganic surfaces. The unique physical properties of PAZO, coupled with strong adsorption of this material on organic and inorganic surfaces, pave the way for the fabrication of functional composites by EPD. The deposition mechanism, deposition kinetics and deposit microstructure were investigated. Huntite is advanced flame retardant material with relatively high decomposition temperature, which is of special interest for the incorporation in polymers, such as PEEK, which require thermal processing. It was found that PEEK composites, containing flame retardant huntite additives, can be prepared by EPD. The composite coatings provided corrosion protection of steel.
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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 | 0.000 | 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) | 0.001 | 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 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".