Design of adaptable product platform for heavy-duty gantry milling machines based on sensitivity design structure matrix
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
Development of complex customized machine tools with low manufacturing costs is a challenging problem for many machine tool manufacturers in today’s competitive marketplace. In this research, a novel design method based on axiomatic design and sensitivity design structure matrix is introduced for identification of adaptable product platform. In order to identify the adaptable product platform, customer requirements are first classified into different groups based on K-means clustering method through genetic algorithm. axiomatic design is used to build the mathematical model for identification of the non-adaptable platform parameters, and sensitivity design structure matrix is employed to separate non-adaptable parameters in non-adaptable platform modules and adaptable parameters in adaptable platform modules. A bridge-type double-gantry boring–milling machining center, XXX-2890, is developed based on the existing heavy-duty gantry milling machines to demonstrate the effectiveness of the developed method.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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