Bibliographic record
Abstract
Acoustics have a significant impact on the usability of a space and is often overlooked during the design phase: problems are often discovered when a space is already taken into use. The indoor acoustic climate can be influenced by adding absorption material, however traditional materials do not offer precise solutions but have a more generic behavior. Furthermore these products are often applied on walls, floors and other flat surfaces and take up space. In the last decade the industry of additive manufacturing, specifically 3D printing, is on the rise introducing new design and production possibilities. Existing products are dependent of a production process, additive manufacturing opens up new ways since here the batch size is only one therefore each application can have a unique solution specifically tailored to it’s needs. Furthermore additive manufacturing creates the possibility to feature intricate geometries which may benefit acoustic performance. An established principle of absorbing sound involves quarter wavelength tubes, which in theory, absorb 100 percent of incident sound at one given frequency. This shows a direct limitation of this principle, but also introduces opportunities for research. Coupling quarter wavelength tubes would in theory create broadband absorption at any desired frequency and absorb sound for 100 percent. Using additive manufacturing as a production technique offers near production freedom. This thesis does research on the behavior of linear coupled quarter wavelength tubes and uses additive manufacturing to create production freedom so that new types of acoustic components can be designed for indoor use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".