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Record W4388943849 · doi:10.4028/p-wd7djt

Overview: Additive/Subtractive Hybrid Manufacturing of Heat Resisting Materials

2023· article· en· W4388943849 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

VenueKey engineering materials · 2023
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsMcGill UniversityNational Research Council Canada
Fundersnot available
KeywordsMaterials scienceSubtractive colorMachiningEnvelope (radar)InconelMaraging steelMicrostructureSurface roughnessUltimate tensile strengthSurface finishMetallurgyComposite materialMechanical engineeringComputer scienceEngineering

Abstract

fetched live from OpenAlex

An overview of the additive/subtractive hybrid manufacturing (ASHM) research on three heat resisting materials – 18Ni-300 maraging steel, 316L stainless steel, and Inconel 718 (hereinafter 18Ni-300, 316L and IN718) – is provided to bridge key knowledge gaps and establish the respective process-microstructure-property relationships. The results examine validating the final surface roughness properties in the as-built and machined conditions in terms of the linear and areal parameters. Microscopic observations are also detailed to identify the influence of dry machining intermittent passes and/or laser conditions on microstructural features, as well as the bulk density. Mechanical stability assessment involved hardness measurement and tensile testing to evaluate the mechanical response of the materials built by in-envelope ASHM.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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