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Record W7043704106

Study of chip formation mechanism in CFRP turning

2021· other· en· W7043704106 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsDalhousie University
Fundersnot available
KeywordsChip formationMachiningChipComposite numberCarbon fiber reinforced polymerFibre-reinforced plasticFiberMechanism (biology)
DOInot available

Abstract

fetched live from OpenAlex

Carbon fiber reinforced polymer (CFRP) is a composite material much less studied than steel and other metals. This material class has excellent properties and allows weight reduction in structural parts; however, the CFRP turning has not the same popularity in the industry of other machining processes as milling and drilling. In this work, a literature survey was conducted to clarify the behavior of CFRP in machining, especially turning. This study evaluated the influence of the composition of the material and the fiber orientation angle, the surface damage during chip formation, and, mainly, parameters as cutting speed, feed rate, depth of cut, and tool geometry and material in the chip formation mechanisms. After discussion, some gaps are identified to be explored using PCD and tools under high cutting parameters conditions. After considering the evaluated studies, an experimental procedure is proposed for future execution, in which the effect of the cutting speed, depth of cut, and tool clearance angle.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.402
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.018
GPT teacher head0.240
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it