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Numerical simulations of a turbulent lifted hydrogen flame in vitiated coflow with flamelet generated manifold approach

  • Zhengxin Lai , Wenyan Song EMAIL logo and Qiuyin Wang ORCID logo
Published/Copyright: March 25, 2025
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Abstract

Numerical investigation of turbulent lifted H2/N2 jet flame in vitiated hot coflow is presented. Turbulent combustion modeling is performed by using flamelet generated manifold approach and presumed probability density function for turbulence-chemistry interaction. Sensitivity analysis of scalar dissipation modeling for mixture fraction and progress variable suggests that the combustion temperature is more sensitive to mixture fraction variance, whereas the flame lift-off height is more sensitive to progress variable variance. The present simulations provide overall good agreements with experimental measurements for mixture fraction, temperature, and chemical species, which gives further information regarding the global flame structure and reaction characteristics. Investigation on mixture fraction conditional scatter plot reveals that the evolution of lifted flame branch and flame dynamics are well captured. Two combustion modes are identified in flame zone. It indicates that non-premixed combustion dominates in core flame region, however low probability of premixed combustion is observed occurring in central fuel-rich zone.

PACS: 47.70.Pq

Corresponding author: Wenyan Song, School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Zhengxin Lai: conceptualization, methodology, investigation, data curation, writing; Wenyan Song: funding acquisition, project administration, review; Qiuyin Wang: data curation, validation, validation.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: This study was funded by the National Major Science and Technology Projects of China (Program No. J2019-XXX-XXX-XXX).

  7. Data availability: All data generated or analyzed during this study are included in this published article.

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Received: 2024-10-15
Accepted: 2025-02-26
Published Online: 2025-03-25
Published in Print: 2025-08-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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