Multi-objective optimization of the hydrofoil shaped pin fins for micro heat sinks was studied. Optimization tool utilized a multi objective genetic algorithm (MOGA) and a numerical model that was validated against previously obtained experimental single-phase heat transfer results on a hydrofoil shape micro scale pin fin. The numerical model was built using StarCCM + software. Several turbulence models were examined against single-phase experimental data and the Lag-EB k-epsilon turbulence model was chosen for validation. Optimization tool varied the shape of the hydrofoil pin fin through flexible parametrization utilizing an ellipse and polynomials. An algorithm coupling pin fin parametrization code, validated the 3D CFD solutions and a MOGA interface was implemented. Subsequently, multi-objective optimization was performed to maximize the heat transfer coefficient while minimizing pressure drop. A broad range of novel geometries were obtained with a tradeoff between thermal and hydraulic performance for low Reynolds number. Novel pin fin shape, bird design, is proposed as a result of the study. Additional 3D steady state conjugate CFD simulations including the bird design pin fin were performed using already verified setup, and it was shown that the enhancement in the average heat transfer coefficient dominates over the pressure drop increase at higher Reynolds numbers.

研究了用于微型散热器的水翼形销鳍的多目标优化。优化工具利用了多目标遗传算法（MOGA）和数值模型，该模型针对先前获得的水翼形状微型鳞片翅片上的实验单相传热结果进行了验证。数值模型是使用StarCCM +软件构建的。针对单相实验数据检查了几种湍流模型，并选择了Lag-EBk-ε湍流模型进行验证。优化工具通过利用椭圆和多项式的灵活参数化，改变了水翼销翅片的形状。一种算法耦合引脚鳍参数化代码，验证了3D CFD解决方案，并实现了MOGA接口。随后，进行多目标优化以最大化传热系数，同时最小化压降。对于低雷诺数，可以在热性能和水力性能之间进行权衡，从而获得了多种新颖的几何形状。研究的结果是提出了新颖的针鳍形状，鸟形设计。使用已验证的设置进行了其他3D稳态共轭CFD仿真，包括鸟形设计的针形翅片，结果表明，在较高的雷诺数下，平均传热系数的提高在压降的增加中占主导地位。