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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 OpenAlexaff
Rahmat Rahmat

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.004

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

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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations2
Published2019
Admission routes1
Has abstractyes

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