Computational Optimization of a Loosely-Coupled Strategy for Scale-Resolving CHT CFD Simulation of Gas Turbine Combustors

The accurate prediction of heat fluxes and, thus, metal wall temperatures gas turbine (GT) combustor liners is a complicated and numerically expensive task. Computational Fluid Dynamics (CFD) support for the design cooling systems essential to ensure safe proper operation entire engine. Indeed, it well known how complicated, at same time, carry out experimental campaigns inside combustors operating under working conditions, therefore, pressurized having high temperatures. correct thermal in CFD simulation depends on modeling all involved phenomena their interactions with each other. For this reason, Conjugate Heat Transfer (CHT) simulations are mandatory system applications. Multiphysics multiscale simulations, based loosely-coupled approaches, have emerged as extremely effective numerical tools, providing enormous computational time savings, compared standard CHT simulations. fundamental advantage such approaches fact that transfer mechanism solved most suitable setup, which leads use spatial temporal resolutions following characteristic scales phenomenon be solved. industrial applications, where availability resources limited timelines obtain results rather tight, robust easy-to-use solutions available combustion chamber would valuable. In context, objective work was perform an initial optimization step multiphysics tool, U-THERM3D, developed University Florence revise coupling strategy workflow view making tool faster easier use. revised methodology applied RSM model test case cooperation between Universities Darmstadt, Heidelberg, Karlsruhe, DLR. particular, tests were conducted by Institute Reactive Flows Diagnostics (Reaktive Strömungen und Messtechnik) Department Mechanical Engineering TU from takes its name. newly obtained analyzed, both qualitatively terms those previously achieved current version U-THERM3D already studied authors literature. Moreover, analysis computing times carried relative super-computing center used different adopted methodologies.