Genetık algoritma desteklı gömülü ısı yayıcı radyatör tasarımı ıle yer sabıt uydularda hafıflık ve termal performans

In spacecraft, radiators cool electronic equipment by conducting waste heat away from components and radiating it into space. They are essential for maintaining component temperatures within allowable operational limits. While radiators must provide adequate heat transfer area to manage thermal loads, minimizing their mass is equally important to ensure feasibility in space applications. This study presents an optimization methodology employing a genetic algorithm (GA) for the thermal design of embedded heat spreader radiators and equipment layout in Geostationary Earth Orbit (GEO) spacecraft. The optimized radiator design and equipment layout for the case studies were validated through thermal analysis using SIEMENS SIMCENTER 3D Space Systems Thermal (SST). Unlike traditional methods, the developed tool concurrently assesses all relevant design variables to determine the optimal radiator and equipment layout, thereby streamlining the design process. The case study results highlight that GA parameters affect GA outcomes. Larger populations and higher mutation rates increase computation time but improve accuracy, making the evaluation of multiple GA parameter sets essential for identifying optimal configurations.