Thermal Performance Analysis of a New Liquid‐Cooled Plate with Topology Optimization Combined with Genetic Algorithm

To address the issues of high power consumption and low heat dissipation efficiency in conventional liquid‐cooling plates, this study proposes a novel design for asymmetric liquid‐cooling plates integrating topology optimization and multiobjective optimization. Three distinct inlet/outlet configurations are designed based on the traditional straight‐channel liquid‐cooling plate. First, the three configurations' thermal and flow characteristics are compared, analyzed and optimized. Then, topology optimization with 0.45 flow channel volume fraction and 0.7:0.3 weight ratio yields an optimized geometric model. Further refinement of the positions and distribution is achieved through a multiobjective algorithm. The design variables comprise: (1) the vertical distance ( L 1 ); (2) the vertical distance ( L 2 ); (3) the vertical distance ( L 3 ); and (4) the flow channel ratio ( w ). A response surface methodology surrogate model is employed for data fitting, with predictions generated via the Non‐dominated Sorting Genetic Algorithm II Optimization results demonstrate that at L 1 = 28.5, L 2 = 15.65, L 3 = 13.11, and w = 0.75, both the average temperature ( T ave ) and inlet–outlet pressure drop (Δ P ) are minimized. Compared with the baseline model, the optimized design reduces T ave by 0.207 °C (0.637%), decrease Δ P by 5.11 Pa (49.12%), and enhance overall performance by 173%.