Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.26568 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911548378710016 |
|---|---|
| author | Hesse, Raik Schwenzer, Christian Glaznev, Roman Cameron, Florence Pitsch, Heinz Beeckmann, Joachim |
| author_facet | Hesse, Raik Schwenzer, Christian Glaznev, Roman Cameron, Florence Pitsch, Heinz Beeckmann, Joachim |
| contents | Fuel-flexible, low-carbon combustion systems need to accommodate methane/hydrogen mixtures with air and exhaust-gas dilution. To develop these, we require accurate and efficient correlations for laminar flame speed (LFS). In this work, we introduce a physics-guided LFS correlation that applies to burners, gas engines, and turbines. Our model uses a core-kinetic approach based on flame temperatures, an algebraic function for the equivalence ratio, and a mass-flux-based blending law. This allows for accurate predictions with any methane/hydrogen blend. We set the model parameters using one-dimensional flame simulations with C3Mech v4.0.1, chosen for its high prediction accuracy for a wide range of experimental data, including new results from our spherical combustion chamber. The new correlation provides accuracy comparable to a machine learning approach (Gaussian process regression), yet remains physically consistent, differentiable, and extrapolates well. This makes it suitable for computational fluid dynamics and control of fuel-flexible combustion systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_26568 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Physics-guided laminar flame speed correlation for methane-hydrogen-air mixtures with varying dilution Hesse, Raik Schwenzer, Christian Glaznev, Roman Cameron, Florence Pitsch, Heinz Beeckmann, Joachim Fluid Dynamics Fuel-flexible, low-carbon combustion systems need to accommodate methane/hydrogen mixtures with air and exhaust-gas dilution. To develop these, we require accurate and efficient correlations for laminar flame speed (LFS). In this work, we introduce a physics-guided LFS correlation that applies to burners, gas engines, and turbines. Our model uses a core-kinetic approach based on flame temperatures, an algebraic function for the equivalence ratio, and a mass-flux-based blending law. This allows for accurate predictions with any methane/hydrogen blend. We set the model parameters using one-dimensional flame simulations with C3Mech v4.0.1, chosen for its high prediction accuracy for a wide range of experimental data, including new results from our spherical combustion chamber. The new correlation provides accuracy comparable to a machine learning approach (Gaussian process regression), yet remains physically consistent, differentiable, and extrapolates well. This makes it suitable for computational fluid dynamics and control of fuel-flexible combustion systems. |
| title | Physics-guided laminar flame speed correlation for methane-hydrogen-air mixtures with varying dilution |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2603.26568 |