Design and fabricate rocket engine
Bibliographic record
Abstract
The objective of this project is to design and fabricate the Rocket Engine.This project describe the shape of Rocket that will fabricate follow the dimension that give by my supervisor.Actually there a several type of Rocket Engine.There are Rocket Engine based of thermal,water,hybrid,solid,and resistojet(electronic).So,the Rocket that will fabricate is from the solid type.One of the important thing a rocket is type of noozle,from the research in the internet De’Laval Noozle is the better type of noozle to use.Then material also another important thing in making Rocket.Material that will use must have good enough strenght to hold the explosion that will happen to move up the rocket.The better material is Stainless Steel it is light and have a good strenght,but cause of limited soucrce the material that use for make this Rocket is from mild steel.It is also have good strenght but it heavy than stainless steel.This project start from making the design and make it using Solid Work Software.Finish the design then the rocket can be made use a Lathe Machnine.Majority this rocket will be made by Lathe Machine.But from the start of fabricte the machine that involve also like bendsaw and drilling machine.Rocket engine that will be made have three part.First part is cap to close the hole on the upper body,a body and noozle.All this part will be assembly and were tied by bolt.It was susessfully done and able to function as needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".