Vibrational CARS thermometry and one-dimensional simulations in laminar H2/air counter-flow diffusion flames

被引:6
|
作者
Satija, Aman [1 ]
Huang, Xianan [1 ]
Panda, Pratikash P. [1 ]
Lucht, Robert P. [1 ]
机构
[1] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47906 USA
关键词
CARS; Diffusion flame; Thermometry; Spectroscopy; STRAIN-INDUCED EXTINCTION; COMBUSTION; TEMPERATURE; PRESSURE; LIMITS;
D O I
10.1016/j.ijhydene.2015.06.150
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Broadband N-2 vibrational coherent anti-Stokes Raman scattering (VCARS) thermometry was performed along the nozzle centerline of counter-flow diffusion flames. Fuel mixtures consisted of varying percentages of H-2 in N-2 and the oxidizer was air. We investigated the influence of varying the percentage of H-2 in the fuel stream on the temperature profiles along the nozzle centerline. Measurements were performed, with varying global strain rates, both near and far from flame extinction. One-dimensional simulations, performed using Combustion Simulation Lab (COSILAB) software, show that the temperature profiles are relatively insensitive to the nozzle exit centerline velocity; implying that the 1-D simulations provide an excellent approximation of the real temperature profiles along the nozzle centerline. Various chemical mechanisms were employed within the COSILAB framework for comparison against VCARS temperature measurements. Simulations were also performed to evaluate the influence of thermal diffusion and nitrogen chemistry on nozzle centerline temperature profiles. Copyright (C) 2015, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10662 / 10672
页数:11
相关论文
共 50 条
  • [21] The role of CO2 dilution on soot formation and combustion characteristics in counter-flow diffusion flames of ethylene
    Sirignano, M.
    D'Anna, A.
    EXPERIMENTAL THERMAL AND FLUID SCIENCE, 2020, 114
  • [22] Numerical simulation of microwave-enhanced methane-air flames I: Modeling and one-dimensional premixed laminar flames
    Nordin-Bates, Kevin
    Zettervall, Niklas
    Hurtig, Tomas
    Sundberg, Hanna
    Fureby, Christer
    COMBUSTION AND FLAME, 2023, 251
  • [23] Structures of Laminar Lean Premixed H2/CH4/Air Polyhedral Flames: Effects of Flow Velocity, H2 Content and Equivalence Ratio
    Shi, Shuguo
    Breicher, Adrian
    Schultheis, Robin
    Hartl, Sandra
    Barlow, Robert S.
    Geyer, Dirk
    Dreizler, Andreas
    FLOW TURBULENCE AND COMBUSTION, 2024, 113 (04) : 1081 - 1110
  • [24] Analysis of flame structure using detailed chemistry and applicability of flamelet/progress variable model in the laminar counter-flow diffusion flames of pulverized coals
    Akaotsu, Shota
    Matsushita, Yohsuke
    Aoki, Hideyuki
    Malalasekera, Weeratunge
    ADVANCED POWDER TECHNOLOGY, 2020, 31 (03) : 1302 - 1322
  • [25] Dual-broadband CARS thermometry in H2/O2 atmospheric pressure diffusion flame
    Fabelinsky, VI
    Kozlov, DN
    Smirnov, VV
    Stel'makh, OM
    Vereschagin, KA
    Clauss, W
    LASER SPECTROSCOPY AND OPTICAL DIAGNOSTICS: NOVEL TRENDS AND APPLICATIONS IN LASER CHEMISTRY, BIOPHYSICS, AND BIOMEDICINE - ICONO'98, 1999, 3732 : 32 - 37
  • [26] EFFECTS OF THERMAL COUPLING AND DIFFUSION ON THE MECHANISM OF H2 OXIDATION IN STEADY PREMIXED LAMINAR FLAMES
    VAJDA, S
    RABITZ, H
    YETTER, RA
    COMBUSTION AND FLAME, 1990, 82 (3-4) : 270 - 297
  • [27] Effects of flow rate and fuel/air ratio on propagation behaviors of diffusion H2/air flames in a micro-combustor
    Xiang, Ying
    Yuan, Zili
    Wang, Shixuan
    Fan, Aiwu
    ENERGY, 2019, 179 : 315 - 322
  • [28] OBSERVATIONS ON THE SOOT FORMATION MECHANISM IN LAMINAR ETHYLENE AIR DIFFUSION FLAMES AT ONE AND 2 ATMOSPHERES
    FLOWER, WL
    BOWMAN, CT
    COMBUSTION SCIENCE AND TECHNOLOGY, 1987, 53 (2-3) : 217 - 224
  • [29] THERMAL STRUCTURE OF LAMINAR METHANE/AIR FLAMES: INFLUENCE OF H2 ENRICHMENT AND REACTANTS PREHEATING
    Lafay, Yannick
    Renou, Bruno
    Leventiu, Constantin
    Cabot, Gilles
    Boukhalfa, Abdelkrim
    COMBUSTION SCIENCE AND TECHNOLOGY, 2009, 181 (09) : 1145 - 1163
  • [30] Machine learning techniques to predict the flame state, temperature and species concentrations in counter-flow diffusion flames operated with CH4/CO/H2-air mixtures
    Prieler, Rene
    Moser, Matthias
    Eckart, Sven
    Krause, Hartmut
    Hochenauer, Christoph
    FUEL, 2022, 326