Journal of Thermal Engineering
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Radial basis function neural network modelling and multi-objective optimization of heat transfer performance in perforated fins under forced convection
Efficient thermal management stays a critical requirement in aerospace systems, high-power electronics, and compact heat exchangers, where excessive temperature rise can degrade performance and reliability. Conventional solid fins are limited by boundary-layer development and structural weight, moti
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