Improvement The Heat Transfer Rate Of Ac Evaporator By Optimizing Materials

Authors: Ranu Parste, Deepak Solanki

Abstract: Enhancing the heat transfer rate of air conditioning (AC) evaporators is a key objective in advancing energy-efficient thermal systems. This study investigates the optimization of evaporator material selection to improve thermal performance using a Genetic Algorithm (GA)-based approach. Traditional materials like copper and aluminum are evaluated alongside advanced composites and coatings based on criteria such as thermal conductivity, cost, weight, and corrosion resistance. The Genetic Algorithm is employed to identify the optimal material configuration that maximizes heat transfer while minimizing trade-offs. Simulation results demonstrate that GA effectively converges on optimal solutions, offering a 10–20% improvement in heat transfer performance over conventional materials. The integration of GA in material selection not only enhances evaporator efficiency but also provides a scalable method for intelligent design in HVAC systems. This research highlights the potential of evolutionary algorithms in solving complex multi-parameter engineering problems in thermal system optimization.