基于物理解耦的分形流道流量均布优化设计OA

Flow uniformity among multiple branches in fractal channel networks is a critical factor determining the performance of hydraulic,pneumatic and heat exchange equipment.Traditional global optimization algorithms often face high computational costs and convergence difficulties due to the significant increase in the dimensionality of the design space.A flow uniformity design strategy based on physical decoupling is proposed.To address these challenges,we propose a flow equalization design strategy based on physical decoupling.Firstly,an iterative geometric correction method is introduced.It utilizes a network topology back-propagation mechanism to map terminal flow deviations into dimensional corrections for each channel level.Secondly,a"layer-wise zero-mean"strategy is applied to decouple the"common-mode"effect from the"differential-mode"effect.This approach ensures precise resistance matching across parallel branches.The strategy is validated using a three-level fractal channel with 20 independent design parameters.The results show that the outlet flow non-uniformity coefficient decreases from 0.1226 to 0.0217 within only 27 CFD iterations.The optimized structure converges to a distinct configuration characterized by widened outer channels and compressed central channels.This study provides a valuable design reference for parameter matching and precision flow control in hydraulic channel networks.