液压与气动2026，Vol.50Issue(2)：20-26,7.DOI:10.11832/j.issn.1000-4858.2026.02.003
基于物理解耦的分形流道流量均布优化设计
Optimization Design of Flow Uniformity in Fractal Channels Based on Physical Decoupling
摘要
Abstract
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.关键词
分形结构/流量均匀性/物理解耦/流阻匹配/结构优化Key words
fractal structure/flow uniformity/physical decoupling/flow resistance matching/structural optimization分类
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唐腾飞,李宇航,彭伊丽,张迪嘉..基于物理解耦的分形流道流量均布优化设计[J].液压与气动,2026,50(2):20-26,7.基金项目
基金编号:国家自然科学基金(52205536) （52205536）
