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Record W3149575059 · doi:10.35814/teknobiz.v9i1.887

Pengembangan Mesin Stirling Tipe Gamma Sebagai Tenaga Penggerak Kipas Angin

2019· article· id· W3149575059 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

VenueTeknobiz Jurnal Ilmiah Program Studi Magister Teknik Mesin · 2019
Typearticle
Languageid
FieldEngineering
TopicEngineering and Technology Innovations
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsPhysicsStirling engineMechanical engineeringEngineeringThermodynamics

Abstract

fetched live from OpenAlex

Mesin stirling adalah mesin kalor yang mengambil kalor dari luar silinder kerjanya. Penelitian inimemberikan tinjauan literatur tentang mesin stirling type gamma dengan berbagai macampengembangannya seperti sebagai penggerak kipas angin. Tujuan dari penelitian ini adalah dapatmengembangkan sebuah mesin stirling yang energi keluarannya minimal sebesar 45 Watt dengan kecepatanputar 1000 rpm, sehingga mesin ini bisa digunakan sebagai tenaga penggerak sebuah kipas angin.Pengembangan mesin ini menggunakan metoda teknik perancangan VDI 2221. Proses perancanganmendapatkan beberapa alternatif rancangan. Rancangan yang terpilih menggunakan mesin stirling typegamma dengan 3 buah sudu kipas. Setelah dilakukan pengujian, maka didapatkan kecepatan putarmaksimum yaitu 3153 rpm, kecepatan putar rata-rata 1798 rpm, dengan efisiensi teoritis sebesar 63 %dengan daya keluaran sebesar 140 Watt

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.003

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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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