The design and optimization of transformer radiators requires a combination of theory, simulation, and experimentation. Common methods include:
1.Numerical Simulation Method:Using software such as ANSYS Fluent and COMSOL, a coupled flow-temperature field model of the radiator is established to simulate the heat dissipation performance under different structures (e.g., fin angle, fin spacing) and operating conditions (e.g., oil flow rate, air velocity). This allows for rapid selection of optimization solutions (e.g., one study improved heat dissipation efficiency by 8% by adjusting the fin spacing from 10mm to 12mm through simulation).
2.Experimental Testing Method: A flow heat transfer test platform is built to measure parameters such as heat dissipation, inlet and outlet temperature difference, and pressure drop under actual operating conditions, verifying the accuracy of the simulation model (e.g., the study "Experimental Study on Air-Side Heat Transfer Flow Characteristics of Shovel-Type Finned Radiators" obtained the fin-side convective heat transfer correlation through experiments, providing data support for design).
3.Multi-objective optimization method: Combining technology and economy, using response surface methodology (RSM), genetic algorithm, etc., to optimize the balance of "heat dissipation efficiency - cost - energy consumption" (for example, "Techno-Economic Optimization of Radiator Configurations" uses response surface methodology to reduce the cost of radiators by 15% while meeting heat dissipation requirements).