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Record W3013564592 · doi:10.1299/jsmemecj.2019.f11103

On Ultra-compact Gear Manufactured by Micro Metal Powder Injection Molding

2019· article· en· W3013564592 on OpenAlexaff
Kazuaki NISHIYABU, Shigeo Tanaka

Bibliographic record

VenueThe Proceedings of Mechanical Engineering Congress Japan · 2019
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsMolding (decorative)Materials scienceMoldComposite materialMetallurgy

Abstract

fetched live from OpenAlex

A micro-planetary gear made of stainless steel has been developed by micro metal powder injection molding (μ-MIM) process. In this study, the accuracy and the quality of ultra-compact planet gear (module: m=0.07mm, number of teeth: z=24) was evaluated. Cross-sections of the gear teeth were observed with a digital microscope and dimensions of the teeth were measured with a digital image processing. The variations in dimensions and shape of gear teeth were systematically investigated for mold, green and sintered parts, and heat treated ones. The accuracy classes of the ultra-compact planet gear were defined from four shape variations of gear teeth, i.e. total runout, single pitch deviation, accumulated pitch deviation and tooth profile deviation. The accuracy class was concluded as JIS N class seven which is a comparatively high precise level for practical applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.006
GPT teacher head0.193
Teacher spread0.186 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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