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Novel method for Investigation the mass of different pyrotechnics MTV Compositions for rocket motor igniter

2023· article· en· W4387602489 on OpenAlexaff
Ahmed Hawass, JU KIM, Sejin Kwon

Bibliographic record

VenueEgyptian Journal of Chemistry · 2023
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsPyrotechnicsRocket (weapon)AeronauticsAerospace engineeringAutomotive engineeringRocket propellantPropellantEnvironmental scienceEngineeringChemistryExplosive material

Abstract

fetched live from OpenAlex

Pyrotechnic compositions-based on Magnesium /Teflon /Viton (MTV) have many desirable properties for using as igniter for solid rocket propellant. Safety and reliability including low hygroscopicity, easier ignitability, good grain fabrication, stability during burning and low production cost. This study produces a novel method for design MTV igniter based on thermochemical properties for the compositions.A theoretical study has been carried out using NASA CEA program for modeling the combustion properties for different MTV compositions with different fuel to oxidizer ratio(F/O) which varies between 0.18 to 3.75. The study investigates the effect of the (F/O) ratio on the heat of combustions which decreases with increasing the (F/O) ratio. The output values of the NASA CEA program is the main parameter for the novel method to determine the mass of the MTV igniter for required rocket propellant. The study concluded that as the (F/O) ratio increases the required mass of the igniter increases.

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 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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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 teacher head, 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

Citations0
Published2023
Admission routes1
Has abstractyes

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