Relating Additive and Subtractive Processes Teleologically For Hybrid Design and Manufacturing
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
This research proposes a methodology for hybrid design and manufacturing -- connecting processes, and silos of information, in a shared system that maximizes the strengths of each process. Additive and subtractive processes (i.e. fused deposition modeling and CNC machining) are focused on in this research. The foundation for the hybrid methodology is a teleological system, which defines a context for interrelationships whereby impact and value can be understood and assessed. Decision making is organized in the analytic hierarchy process, harnessing knowledge of the aforementioned processes to effectively manage complexity in modules and efficiently design and manufacture a part with the most value. An adaptation of a product complexity assessment is proposed and used to validate the proposed AHP model along with a sensitivity analysis. The hybrid design and manufacturing methodology is tested in application through case study (i.e. casting pattern of a complex V6 engine section).
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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