An electro-chemical test and optimization system for impressed current cathodic corrosion protection
Bibliographic record
Abstract
A simple electro-chemical test and an optimization system for impressed current cathodic protection (ICCP) for the A36 hot-rolled steel bar is presented in this article. A simple two-electrode based test system using an electro-chemical cell to test the corrosion rate of the target metal is proposed. The Tafel plot to determine the corrosion rate of the target metal is prepared using our simple test systemand the corrosion current(i <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">corr</inf> ) is extrapolated from the Tafel plot. A novel technique by impressing the corrosion current to protect the target metal using ICCP is implemented and tested. The proposed protection system further simplifies the corrosion protection system compared to the current methods. To determine effectiveness of the proposed protection system, weight loss of a freely corroding target metal and a protected sampleof the target metal are compared. For0.6 M NaCl solution as a test environment, both the metal samples are tested for two weeks. The protected metal sample is protected using our novel closed-loop protection system using 2.4 – 4.25 mW power with protection feedback every 24 hours. The weight reduction of the freely corroding metal sample is 0.017533 weight percentage per day and for the protected metal sample is 0.003357 weight percentage per day. Hence, the weight lost of the freely corroded metal is 5.22 times faster than the protected metal sample.
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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) | 0.000 | 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) | 0.000 | 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".