Sustainable Design-Oriented Level Set Topology Optimization
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a novel sustainable design-oriented level set topology optimization method. It addresses the sustainability issue in product family design, which means an end-of-life (EoL) product can be remanufactured through subtractive machining into another lower-level model within the product family. In this way, the EoL product is recycled in an environmental-friendly and energy-saving manner. Technically, a sustainability constraint is proposed that the different product models employ the containment relationship, which is a necessary condition for the subtractive remanufacturing. A novel level set-based product family representation is proposed to realize the containment relationship, and the related topology optimization problem is formulated and solved. In addition, spatial arrangement of the input design domains is explored to prevent highly stressed material regions from reusing. Feature-based level set concept for sustainability is then used. The novelty of the proposed method is that, for the first time, the product lifecycle issue of sustainability is addressed by a topology optimization method. The effectiveness of the proposed method is proved through a few numerical examples.
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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 | 0.001 | 0.001 |
| 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