Integrated parametric and topologic design for advanced double-wall cooling systems

Double-wall cooling is a high-performance strategy for turbine blade thermal protection, yet its design is challenged by complex internal–external flow interactions. This study proposes an integrated cooling configuration that combines self-organized turbulence structures with impingement and film cooling. The system is parameterized by 28 variables, including geometric parameters of cooling holes and control variables for turbulence-inducing topologies. A multi-objective Bayesian optimization framework is employed to simultaneously improve overall cooling effectiveness, uniformity, internal heat transfer, and pressure loss. Compared with three baseline configurations, the optimized designs enhance cooling effectiveness and uniformity by 17 % under equal pressure loss. Impingement and film cooling primarily drive effectiveness, while self-organized structures significantly improve uniformity. Data mining techniques reveal key design principles: aligning turbulence features with flow direction, minimizing solid connectivity in critical regions, and distributing cooling zones to extend flow paths. Designs guided by these principles achieve up to 16 % higher effectiveness and 58 % better uniformity than the baseline, even without further optimization. This integrated co-design framework provides an efficient and generalizable strategy for developing advanced double-wall cooling systems under complex thermal loads.