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Numerical simulations of combustion in aircraft engines is quite complex, as it requires an adequate description of liquid fuel injection, liquid fuel atomization, drop breakup, drop dynamics, and evaporation, large-scale turbulent fuel air mixing, small scale molecular fuel air mixing, chemical reactions, and turbulence/chemistry interactions. In the… (More)

- Matthias Ihme, Alison L. Marsden, Heinz Pitsch
- Neural Computation
- 2008

A pattern search optimization method is applied to the generation of optimal artificial neural networks (ANNs). Optimization is performed using a mixed variable extension to the generalized pattern search method. This method offers the advantage that categorical variables, such as neural transfer functions and nodal connectivities, can be used as parameters… (More)

- Yu Lv, Matthias Ihme
- J. Comput. Physics
- 2015

- Ghobad Amini, Matthias Ihme, Ali Dolatabadi
- Physical review. E, Statistical, nonlinear, and…
- 2013

The effect of gravity on the onset and growth rate of capillary instabilities in viscous liquid jets is studied. To this end, a spatial linear stability analysis of Cosserat's equations is performed using a multiscale expansion technique. A dispersion relation and expressions for the perturbation amplitude are derived to evaluate the growth rate of the most… (More)

- Yu Lv, Matthias Ihme
- J. Comput. Physics
- 2014

- Matthias Ihme, Lee Shunn, Jian Zhang
- J. Comput. Physics
- 2012

Many combustion models that are based on the flamelet paradigm employ a reaction progress variable. While such a progress variable is well defined for one-step reaction kinetics, this is typically not the case for complex chemical mechanisms. Consequently, several expressions for a progress variable have been utilized. In this paper a formal method for the… (More)

Large-eddy simulations (LES) of the Sydney bluff-body swirl-stabilized methane–hydrogen flame are performed, employing two chemistry representation methods, namely a conventional structured tabulation technique and artificial neural networks (ANNs). A generalized method for the generation of optimal artificial networks (OANNs) has been proposed by Ihme et… (More)

- Sergei Fedotov, Matthias Ihme, Heinz Pitsch
- Physical review. E, Statistical, nonlinear, and…
- 2005

A stochastic mixing model based on the law of large numbers is presented that describes the decay of the variance of a conserved scalar in decaying turbulence as a power law, sigma2(c) proportional t(-alpha). A general Lagrangian mixing process is modeled by a stochastic difference equation where the mixing frequency and the ambient concentration are random… (More)

- By L. Cutrone, M. Ihme, M. Herrmann

A unified treatment of general fluid thermodynamics is developed to handle fluid flows over their entire thermodynamic states. In particular, attention has been focused on the correct evaluation of the p − v − T relationship in the trans-and super-critical regime, using a modified version of the Peng Robinson cubic equation of state and deriving from it… (More)

- Peter C. Ma, Yu Lv, Matthias Ihme
- J. Comput. Physics
- 2017