A Novel Technique to Achieve Sustainable Machining System
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
Turning is one of the most fundamental and indispensable processes of metal removal in industry. Increasing pollution-preventing initiatives globally and consumer focus on environmentally conscious products has put increased pressure on industries to minimize or eliminate the use of cutting fluids. The use of solid lubricant in machining operation is one of the most effective strategies in this direction to achieve sustainable machining system. In the present research work, the feasibility of a novel approach for developing a new generation of machining technique namely High Pressure Minimum Quantity Solid Lubricant experimental set-up has been envisaged with an aim to improve process performance and to eliminate the use of cutting fluids in machining operation. A detailed comparison has been made with wet, dry, MQL machining operation to assess the process performance on the basis of tool wear and surface finish. The results indicate that HP-MQSL mixture at a small and constant flow allows better penetration of the mixture into the tool-work and tool-chip interface, thus providing reduction on the tool wear and surface roughness more effectively than a wet, dry, and MQL machining at high speed conditions, thereby to achieve sustainable machining system.
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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