Multiple operating conditions optimization design of the inner and outer bypass splitter ring for an aero-engine
CHEN Deming
MA Haiteng
WU Yadong
Abstract:To enhance the adaptability of the inner and outer bypass splitter ring of aero-engines under multi-condition operating scenarios,a pneumatic optimization design study is conducted on the inner splitter ring model of a scaled dual-bypass fan-compressor stage test piece based on the Isight optimization design platform.The Bezier curve parameterization method is adopted to perform pneumatic calculations on the splitter ring model under set multi-condition operating conditions.Sample points are generated via Latin hypercube sampling,followed by design of experiment(DoE)analysis to screen key variables.The adaptive simulated annealing algorithm is then used for automatic optimization of these key variables,yielding an optimized splitter ring model with the minimum comprehensive flow loss.The static pressure and airflow velocity distributions in the inner and outer bypass ducts of three splitter ring profiles are analyzed under design conditions.Simulation results indicate that three design variables controlling the upper wall thickness of the splitter ring play a dominant role in the optimization outcomes.The optimized curve exhibits a concave and flattened trend,with increased curvatures at the leading and trailing edges,a reduced angle of attack of the splitter ring,which effectively suppresses flow separation and reduces flow loss.Through Bezier curve parameterization and multi-condition optimization design,the pneumatic performance of the splitter ring can be significantly improved,along with its adaptability under multi-condition operating conditions.
Keywords:splitter ringBezier curvemultiple oprating conditionsDoEaerodynamic optimization
Publication Date:2026-02-28
Online Publishing Date:2026-05-22(First online date of this platform, not the publication date of the document)
Pages:10( 1-10 )
Internal Combustion Engine & PowerPlant

Internal Combustion Engine & PowerPlant

ISSN:1673-6397
Year, Vol.(Issue):2026,43(1)