Simulation of Blank Design for Blades of Francis Turbines
Bibliographic record
Abstract
The metal pressing process which is widely used in many industries has advantages over casting process for producing large and thick blades of Francis turbine. For the design of pressing process, blank design should be firstly performed to determine the dimension of the flat blank. In fact, the traditional trial and error approach is not applicable for the blade design for Francis turbines that is not standard because of the different hydraulic characteristics of a hydropower plant from site to site. The powerful computing technology makes it possible to desgn optimum blanks by numerical modeling and simulation. In this paper, the multi-step inverse finite element approach is investigated for blank design and an elasto-plastic model has been built by using the well-known software ANSYS. Unfolding tests with cylindrical sections have been carried out and the numerical results agree well with the analytical results. Thereafter, a large and thick blade of Francis turbine for hydropower plants has been successfully unfolded by the FE model. Finally, for ensuring the machining of the blade after the pressing process, a new contour is obtained by extending the boundary of the flat blank provided by the FE model.
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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".