Development and verification of RP-3 aviation kerosene surrogate fuel models using a genetic algorithm. (15th March 2022)
- Record Type:
- Journal Article
- Title:
- Development and verification of RP-3 aviation kerosene surrogate fuel models using a genetic algorithm. (15th March 2022)
- Main Title:
- Development and verification of RP-3 aviation kerosene surrogate fuel models using a genetic algorithm
- Authors:
- Yu, Zhiqing
Wei, Shengli
Wu, Chengcheng
Wu, Lirong
Sun, Linxiao
Zhang, Zhicheng - Abstract:
- Highlights: Two new surrogate fuel models for RP-3 kerosene were proposed by applying genetic algorithm. A reaction mechanism consisting of 1408 species and 8965 reactions of surrogate model was developed. S1 is closer to the properties of RP-3, whereas S2 is more compatible with fuel in hydrocarbon group composition. For ensure the reliability of the models, physical and chemical validation were performed under widely conditions. Abstract: For emulation of the physicochemical characteristics and hydrogen-carbon group composition of RP-3 aviation kerosene, two models were composed of three components including n-dodecane, n-butylcyclohexane and n-butylbenzene by genetic algorithm optimization methodology with physical properties measurements (S1, 27.9/63.0/9.1 mol%; S2, 58.0/30.0/12.0 mol%). The numerical results of properties using the surrogate fuels were compared with experimental data. Both models had good performance in predicting the physical properties by analyzing the trends of density and kinematic viscosity under different temperature and pressure conditions. Based on the proposed surrogates, a detailed RP-3 surrogate chemical reaction mechanism was developed by decoupling methodology which including 1408 species and 8965 reactions. Autoignition properties, oxidation properties and laminar combustion properties of surrogates were compared with RP-3 experimental data. Two models exhibited good matching on ignition behaviors with RP-3 at high and low temperatures.Highlights: Two new surrogate fuel models for RP-3 kerosene were proposed by applying genetic algorithm. A reaction mechanism consisting of 1408 species and 8965 reactions of surrogate model was developed. S1 is closer to the properties of RP-3, whereas S2 is more compatible with fuel in hydrocarbon group composition. For ensure the reliability of the models, physical and chemical validation were performed under widely conditions. Abstract: For emulation of the physicochemical characteristics and hydrogen-carbon group composition of RP-3 aviation kerosene, two models were composed of three components including n-dodecane, n-butylcyclohexane and n-butylbenzene by genetic algorithm optimization methodology with physical properties measurements (S1, 27.9/63.0/9.1 mol%; S2, 58.0/30.0/12.0 mol%). The numerical results of properties using the surrogate fuels were compared with experimental data. Both models had good performance in predicting the physical properties by analyzing the trends of density and kinematic viscosity under different temperature and pressure conditions. Based on the proposed surrogates, a detailed RP-3 surrogate chemical reaction mechanism was developed by decoupling methodology which including 1408 species and 8965 reactions. Autoignition properties, oxidation properties and laminar combustion properties of surrogates were compared with RP-3 experimental data. Two models exhibited good matching on ignition behaviors with RP-3 at high and low temperatures. Moreover, the components proportion difference had a great influence on the ignition properties in the negative temperature coefficient region. It also made the predicted value of the laminar combustion velocity of S1 higher than that of S2. … (more)
- Is Part Of:
- Fuel. Volume 312(2022)
- Journal:
- Fuel
- Issue:
- Volume 312(2022)
- Issue Display:
- Volume 312, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 312
- Issue:
- 2022
- Issue Sort Value:
- 2022-0312-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-15
- Subjects:
- RP-3 aviation kerosene -- Surrogate fuel -- Genetic algorithm -- Physicochemical properties matching
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2021.122853 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
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British Library HMNTS - ELD Digital store - Ingest File:
- 20465.xml