简介：Magneticforcetransmissionofareciprocatingmotionisstudiedbytheoreticalanalysisandexperiment.Amathematicalmodelforcalculatingthemagneticforceisderivedusingthetheoryofequivalentmagneticcharges.Anexperimentalrigisconstructedtotestthetransmissionandthemodelisverifiedbyexperiment.Effectofthetransmissionparametersonthemagneticforceisanalyzedtheoreticallyfromthemodel,andcharacteristicofthetransmissionisstudiedexperimentally.Sincethetransmissioniswithoutdirectcontactbetweentwoelements,itissuitableforapplicationinanorganism.

简介：Thepaperpresentsamulti-scalemodellingapproachforsimulatingmacromoleculesinfluidflows.Macromoleculetransportatlownumberdensitiesisfrequentlyencounteredinbiomedicaldevices,suchasseparators,detectionandanalysissystems.Accuratemodellingofthisprocessischallengingduetothewiderangeofphysicalscalesinvolved.Thecontinuumapproachisnotvalidforlowsoluteconcentrations,butthelargetimescalesofthefluidflowmakepurelymolecularsimulationsprohibitivelyexpensive.Apromisingmulti-scalemodellingstrategyisprovidedbythemeta-modellingapproachconsideredinthispaper.Meta-modelsarebasedonthecoupledsolutionoffluidflowequationsandequationsofmotionforasimplifiedmechanicalmodelofmacromolecules.Theapproachenablessimulationofindividualmacromoleculesatmacroscopictimescales.Meta-modelsoftenrelyonparticle-correctoralgorithms,whichimposelengthconstraintsonthemechanicalmodel.Lackofrobustnessoftheparticle-correctoralgorithmemployedcanleadtoslowconvergenceandnumericalinstability.AnewFAstLinearCOrrector(FALCO)algorithmisintroducedinthispaper,whichsignificantlyimprovescomputationalefficiencyincomparisonwiththewidelyusedSHAKEalgorithm.ValidationofthenewparticlecorrectoragainstasimpleanalyticsolutionisperformedandimprovedconvergenceisdemonstratedforssDNAmotioninalid-drivenmicro-cavity.

简介：Oneofmanyinterestingresearchactivitiesinbiofluidmechanicsisdedicatedtoinvestigationsoflocomotioninwater.Someofpropulsionmechanismsobservedintheunderwaterworldareusedinthedevelopmentprocessofunderwaterauto-nomicvehicles(AUV).Inordertocharacteriseseveralsolutionsaccordingtotheirmanoeuvrability,influenceonthesur-roundingfluidandenergeticefficiency,adetailedanalysisoffin-likemovementisindispensable.Inthecurrentpaperananalysisofundulatory,oscillatoryandcombinedfin-likemovementsbymeansofnumericalsimulationiscarriedout.TheconservationequationofmassandtheconservationequationofmomentumaresolvedwiththeFiniteVolumeMethod(FVM)byuseofthesoftwareCFX-10.0.Theundulatoryandoscillatoryfinmovementsaremodelledwithanequationthatisimplementedwithinanadditionalsubroutineandjoinedwiththemainsolver.Numericalsimulationsarecarriedoutinthecomputationaldomain,inwhichonefinisfixedinaflow-throughwaterduct.SimulationsarecarriedoutintherangeoftheRenumberupto105.Theresultsshowsignificantinfluenceofappliedfinmotiononthevelocitydistributioninthesurroundingfluid.

简介：Nonverbalandnoncontactbehaviorsplayasignificantroleinallowingservicerobotstostructuretheirinteractionswithhumans.Inthispaper,anovelhuman-mimicmechanismofrobot’snavigationalskillswasproposedfordevelopingsociallyacceptableroboticetiquette.Basedonthesociologicalandphysiologicalconcernsofinterpersonalinteractionsinmovement,severalcriteriainnavigationwererepresentedbyconstraintsandincorporatedintoaunifiedprobabilisticcostgridforsafemotionplanningandcontrol,followedbyanemphasisonthepredictionofthehuman’smovementforadjustingtherobot’spre-collisionnavigationalstrategy.Thehumanmotionpredictionutilizesaclustering-basedalgorithmformodelinghumans’indoormotionpatternsaswellasthecombinationofthelong-termandshort-termtendencypredictionthattakesintoaccounttheuncertaintiesofbothvelocityandheadingdirection.Bothsimulationandreal-worldexperimentsverifiedtheeffectivenessandreliabilityofthemethodtoensurehuman’ssafetyandcomfortinnavigation.Astatisticalusertrialsstudywasalsogiventovalidatetheusers’favorableviewsofthehuman-friendlynavigationalbehavior.