基于粒子群算法的涡轮钻具叶片优化

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中图分类号：TE921 文献标志码：A 文章编号：1000-7393（2025）-02-0179-07

Abstract：Turbodrillisiical powertoolfordeepdrilling，whiletistolfcechallenges inmeighetrqueandefiency requirementsofultra-deepwatercomplex drillngconditions.Inorder toimproveteperformanceofturbodrill，aO78urbdill statorandrotorbladeisfocused，ovelbladeoptimzatiomethodasproposedbycombningthid-orderBesselcureadprticle swarmoptimizationalgorithmtooptimizethethre-dimensionalspacemodelingoftheblade.CFDnumerical simulation demonstrated that the optimized curved blades achieved a torque increase of 0.85N⋅m andahydraulic efficiencyof 86.66% at the optimal working conditions，representing a 5.12% improvement over straight blades. Experimental results confirmed a torque gain of （204号 0.62N⋅m and ahydraulic efficiency of 69.07% ，representing a 5.18% enhancement. The research demonstrates that the new curved blade turbineconstructed bythe proposedoptimization methodhas higher torqueandefficiency.Analysisof theperformance improvement mechanismrevealed thattheoptimized blade geometryreduces leading-edge hydraulic losesandsecondary flows whiledecliingthe pressurediferentialsacrossthebladesurfaces.Thisresearch provides theoreticalguidancefortheoptimaldesign of turbodrill stators and rotors.

Key words： turbodrill; 3D blade profile; particle swarm optimization; torque; efficiency

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随着油气资源勘探开发不断向纵深发展，深井和超深井越来越多[1]。（剩余11436字）