Flow boiling analysis in manifold microchannels with sloped divider and artificial neural network-based flow pattern prediction

Key Points

• Optimized flow pattern predictions enhance the efficiency of flow boiling in microchannels, supporting better thermal management.
• The primary metric includes accurate flow pattern predictions using neural networks, significantly improving traditional models.
• Observational analysis involved flow boiling assessments across manifold microchannels featuring sloped dividers, enhancing predictive capacity.
• This approach may enable more effective design strategies for thermal systems, but might need further validation in real-world applications.