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Record W2386427121

Critical techniques of ultrasonic machining for micro Laval-nozzles of microcrystalline-mica-ceramics

2010· article· en· W2386427121 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Solid Rocket Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Machining and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleMachiningMechanical engineeringMaterials scienceElectrical discharge machiningCeramicUltrasonic machiningEngineeringComposite material
DOInot available

Abstract

fetched live from OpenAlex

Micro-ultrasonic-machining(micro-USM) and micro electrical discharge machining(micro-EDM) were jointly used to resolve the critical problems of micro Laval-nozzle machining techniques of microcrystalline-mica-ceramic(MCMC),including a special machine with high precisions and multiple functions,the preparation of micro-USM tools,the clamping and locating of workpieces,the design of micro-USM process and the selection of the micro-USM conditions.Though a self-developed high-precision multi-functional machine tool,micro-USM was adopted to machine micro Laval-nozzles of MCMC cooperated with micro-EDM for tools preparation.Workpiece holding devices were designed to keep the repeat positioning accuracy less than 2 μm.Furthermore,by comparing two machining processes,a Laval-nozzle was successfully made by the better machining process with an inlet diameter of 360 μm,outlet diameter of 320 μm,throat diameter of 170 μm and total length of 550 μm.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.334
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.277
Teacher spread0.272 · 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