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ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
i-PENTANE AND i-PENTENE AS GASOLINE SURROGATES FOR THE TRANSPORT INDUSTRY: A NUMERICAL ANALYSIS ON IGNITION DELAY TIMES USING DETAILED CHEMICAL KINETICS
Submission Author:
Felipe Kraus , SC , Brazil
Co-Authors:
Felipe Kraus, Amir Antonio Martins Oliveira, Ana Carolina Bueno Bontorin, Anderson Rouge dos Santos, Leonel R Cancino
Presenter: Felipe Kraus
doi://10.26678/ABCM.ENCIT2020.CIT20-0512
Abstract
Chemical kinetics of fuel surrogates is a very important topic under continuously development for improvements in internal combustion engines used in the transport industry sector. In this work, two chain branched chemical species, one saturated (i-Pentane) and other non-saturated (i-Pentene) where choose for analysis. Ignition delay time data available at literature was then collected and used for assessment of a detailed kinetics model also available at literature. For i-Pentane the experimental data cover the temperatures from 1000K < T < 1550K, pressures of 1.22, 9.76 and 24.78 bar and stoichiometries of φ = 0.3, 0.5, 1.0 and 2.0 in air. For i-Pentene the experimental data cover the temperatures from 1330K < T < 1730K, pressures of 1.75, 11.30 and 31.65 bar and stoichiometries of φ = 0.5, 1.0 and 2.0 in oxygen and 99% argon diluted. The detailed kinetics model used for numerical simulation was validated against ignition delay times measurements of n-pentane, i-pentane, and neo-pentane mixtures in shock tube and rapid compression machine. The model allows 3057 elementary reactions among 699 chemical species. Numerical simulations assuming constant volume reactor and brute force sensitivity analyses where then performed in order to understand the difference of numerical to experimental data. Simulation where performed using a open-source chemical kinetics software available at literature. The main sensitive reactions where then identified elucidating of this form the more important reactions plausible of optimization in order to reduce the error in numerical predictions.
Keywords
gasoline surrogates, Detailed chemical kinetics, Ignition delay times, Brute force sensitivity analysis
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