کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6637203 | 461139 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A mixing model for laminar flame speed calculation of lean H2/CO/air mixtures based on asymptotic analyses
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
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![عکس صفحه اول مقاله: A mixing model for laminar flame speed calculation of lean H2/CO/air mixtures based on asymptotic analyses A mixing model for laminar flame speed calculation of lean H2/CO/air mixtures based on asymptotic analyses](/preview/png/6637203.png)
چکیده انگلیسی
A mixing model for the calculation of laminar flame speed of lean premixed H2/CO fuel blends was derived through asymptotic analysis coupled with a reduced chemistry mechanism. The model was developed following the similar procedure given for the single component fuel. According to the different dominant effects of H2 in H2/CO/air flame, two separated algebra formulas were given when H2 content was smaller or larger than 15%. Validations of the proposed model, as well as several existing mixing models were conducted against the experimental data of H2/CO premixed flames reported in the literature. Results showed that existing models were either remarkably under-predicted or inconvenient to predict the laminar flame speed of lean premixed H2/CO/air flames. The proposed model predicted well the experimental data over wide ranges of equivalence ratios (0.6-1.0), fuel compositions (1-100% H2 in the fuel blend), and unburned gas temperatures (ambient to 600Â K). In addition, its predictions also agreed well with the simulation results with detailed chemistry and molecular transport over a wide range of pressures (ambient to 20Â atm). It is expected that the proposed mixing model can be cost-effectively used in relevant engineering CFD modeling with acceptable accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuel - Volume 134, 15 October 2014, Pages 400-405
Journal: Fuel - Volume 134, 15 October 2014, Pages 400-405
نویسندگان
Yang Zhang, Yanmei Yang, Zhu Miao, Hai Zhang, Yuxin Wu, Qing Liu,