Development and Evaluation of 6-component Wheel Dynamometer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For the durability design of vehicles, it is essential to build database on various performance that can appear while driving. In order to analyze the load characteristics of the vehicle according to the driving conditions, a 6-component (three forces and three moments) wheel dynamometer is attached to vehicle's wheel. For design of a high precision wheel dynamometer, Y. W. Park studied the characteristics of the basic structure of the wheel dynamometer and the characteristics of the flexible fixed end using the Finite Element Method. Also, to design a wheel dynamometer with various flexible output value, H. C. Yoo set various parameters about the shape and studied the influence of the variables on the strain. The wheel dynamometer is a kind of multi-axis load cell. In order to reduce the interference error which is the most important characteristic of the multi-axis load cell, C. H. Shin and H. C. Yoo proposed a new Wheatstone bridge circuit and evaluated the effectiveness. In this paper, The wheel dynamometer with the rated capacity designed by the previous researchers (Fx, Fy is 25 kN, Fz is 15 kN, Mx, My are 5 kNm and Mz is 8 kNm) are fabricated by using strain gage and evaluated by static and dynamic characteristic test .
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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 it