A step forward: IEC 62097-Edition 2 - “Hydraulic Machines, Radial and Axial – Methodology for Performance Transposition from Model to Prototype”
Bibliographic record
Abstract
Advances in the technology of hydraulic machines for hydroelectric power plants provided the background for updating and revising the efficiency scale effect methodology of IEC 60193. The fundamental step forward in IEC 62097 is the standardization of scalable losses in specific hydraulic energy, leakage losses and disk friction losses. The transposition of the hydraulic performance is driven by the dependence of friction losses on Reynolds number Re and the effect of surface roughness Ra. Since the roughness of the actual machine components differs from part to part, the performance scale effect is evaluated for each individual part separately and then is finally summed up to obtain the overall performance transposition for a complete machine. After the release of IEC 62097 Edition 1 in 2009, comments on this standard were received and open or unclear topics identified. As a result, the new innovative concepts were introduced and developed, and editorial changes were implemented in Edition 2. This paper presents the significant improvements implemented in the release of IEC 62097 Edition 2 related to the performance transposition methodology for hydraulic machines through: a) addressing the shift in n ED and Q ED in the performance scaling from the model to prototype; b) identifying two-step efficiency transposition as the primary method for deriving prototype efficiency based on the model test results; c) specifying recommended roughness measurement techniques and minimum prototype roughness values; d) readjusting scalable losses and leakage losses for models with peak efficiency exceeding the assumed maximum hydraulic efficiency specified in the standard; e) improved structure of the IEC 62097 standard document and "Excel" workbook providing clear and user friendly guidelines for the performance transposition calculations. The release of Edition 2 is a clear step forward in advancing the performance transposition methodology for radial and axial hydraulic machines.
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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 | 0.016 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.012 |
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".