(608f) Radlib: A Radiation Property Library for Combustion Simulation

We have developed a radiation library for use in combustion simulations. Combustion is an important area both scientifically and industrially. Combustion involves a wide range of physical phenomena including detailed chemical kinetics, multi-component mass transfer, turbulent fluid dynamics, conductive and radiative heat transfer, soot formation, and others. Expertise in each area is difficult to attain, and obtaining robust, user-friendly code libraries for various submodels is important for efficiently and accurately implementing simulations. This is especially true in radiative heat transfer, which is both highly complex, highly costly, and important for accurate flame predictions. Radlib is a radiation library that computes gaseous and soot radiative properties that can be directly combined with existing radiation solvers, such as ray tracing or discrete ordinates methods. The library is written in C++, with C++ and Python interfaces, a modern build system, and full documentation. We present the library, its, and show simulation results in canonical and combustion configurations. Current models include the rank correlated spectral line weighted sum of gray gases model (RCSLW), with a variable number of gases; a four gas weighted sum of gray gases model, and Planck Mean absorption coefficients. These models are reviewed, with heat transfer results compared for these models including computational costs.