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Record W4361297710 · doi:10.21203/rs.3.rs-2731497/v1

Assessment of Halon-free agents for fire safety application in aircraft propulsion system

2023· preprint· en· W4361297710 on OpenAlexaboutno aff
Akhil Dinesh, Michael Diakostefanis, Suresh Sampath

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
FundersCleansky
KeywordsEnvironmental sciencePropulsionFlammabilityTurbofanFire protectionCombustion productsCombustionAerospace engineeringEngineeringCivil engineeringMaterials scienceChemistry

Abstract

fetched live from OpenAlex

Abstract Halon 1301 is an effective total flooding fire suppression agent which is widely employed in aircraft cargo and propulsion systems for emergency fire scenarios. The production of Halon 1301 was banned by the Montreal Protocol in 1994 due to its environmental impact on ozone depletion and long atmospheric lifetime. Thus, a credible alternative is required for fire safety application on-board aircrafts. This study forms a follow-up to the work published by A. Dinesh et.al [14] and M. Diakostefanis et.al [16] which studied halon-free fire suppression in aircraft cargo bay through CFD and experimental validation respectively. Due to constraints in cost and logistics of testing fire suppression in a gas turbine engine, a computer modelled fire zone of a hypothetical high-bypass turbofan engine was used to simulate and evaluate the fire suppression performance of three Halon-free agents - HFC-125, HFC-227ea and FIC-13I1. Halon 1301 was also simulated to provide baseline comparison to the alternative agents. The capacity to inert was based on the distribution of agent concentrations subjected to a heptane-based fuel fire. Simulations were conducted at ISASLS and 40,000 feet to represent the engine’s operating environment. Overall, it was found that HFC-125 and HFC-227ea satisfactorily suppressed fire at both ambient scenarios. It was found that agent density and suppression concentration significantly influenced the agent’s ability to mix with ambient air and flood the fire zone. Density of the agent combined with higher inertion concentrations also influenced formation of localised recirculation zones which influenced mixture distribution in the fire zone. The simulations enabled identification of individual changes to agent flow characteristics at different operating conditions and demonstrated the performance criteria of Halon 1301 along with the proposed alternative agents for successful fire suppression. Through this study, it was found that all the agents except FIC-13I1 passed the minimum suppression criteria making HFC-125 and HFC-227ea suitable agents for replacement of Halon 1301. The failure of FIC-13I1 was attributed to the complex design in fire zone and could be overcome by considering a higher factor of safety for this design and injecting higher mass flow rate of the agent into the fire zone. The outcome of this study proposes further work to be carried out through experimental validation of the CFD simulations which will be key to progress the technology to higher TRL and meet aviation certification requirements. Further work may also explore blended agent configurations to tailor the agent characteristics to meet suppression requirements for maintaining safety and reliability of the system.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.056
GPT teacher head0.391
Teacher spread0.335 · 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.

Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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