简介:Lid-drivenmixedconvectionhasbeengivenimmenseimportanceduetoitswiderangeofapplications.AT-shapedcavityisintroducedandpertinentparameterscontrollingmixedconvectionphenomenonareanalyzedinthispaper.Water-Al2O3nanofluidisconsideredinsidethecavitytoaugmentheattransferrate.Galerkinweightedresidualmethodoffiniteelementanalysisisappliedforthenumericalsimulations.Numericalsolutionisobtainedfordifferentsolidvolumefractionsofnanofluid(?=0-0.15),Grashofnumbers(Gr=0.1?5000)andReynoldsnumbers(Re=0.31?1000)inlaminarflowregime.Specialattentionisgivenontheanalysisofflowatthepuremixedconvectionregime.ItisfoundthatGrashof,ReynoldsandRichardsonnumbersalongwithsolidvolumefractionofnanofluidhavesignificanteffectonheattransfercharacteristicsinsidethecavity.ResultsarepresentedusingstreamlineandisothermcontoursalongwithrelatedvariationofaverageNusseltnumbersoftheheatedwallandaveragefluidtemperatureinsidethecavity.
简介:海上风机监测异常数据实时处理,对于风机结构体系功能与安全状态的分析评价,具有十分重要的意义。但现阶段对于异常数据实时处理方法的研究还有待完善。本文结合风机实时监测数据特点,采用具有自动调整参数功能的AR(n)模型预测算法进行异常数据实时处理,对处理机制进行了分析。应用该方法对某海上风机实时采集风速及多种传感器监测数据进行了处理,讨论了该方法的精度及处理效率,验证了该方法对于处理风机异常监测数据的有效性和适用性。