科技论文英文摘要范文

科技论文英文摘要范文一：

Thehighspeedcuttingbecauseofitshigherefficiencyandaccuracyfullyisappliedinvariousfield.Evenso,inordertomakeitfurtherdevelopment,manyrestrictingfactorsiswaitedforsolving.Atpresent,toobtainsingleoneofthehighefficiencyandaccuracyisnotenough.Howtosimultaneouslyobtainhigherefficiencyunderthepartsaccuracyguaranteedinordertobetterandfullyplaytheadvantagesofhighspeedmachining.Asaresult,ithasveryimportantrealisticmeaningthatthekeytechnologiesofhighspeedmillingsurfaceroughnessarestudied.

Theinfluenceofvariousfactorsonthehighspeedmillingsurfaceroughnessisanalyzed.Themethodoftheoryfuzzyisputforwardtoobtainmoreaccuratepredictionmodel.Andthefuzzysystemistrainedbythealgorithmwhichcombinewithleastsquaremethodandthebasicantcolonyalgorithm.Thecontrasttestshowsthatthefinalconvergenceerroroffuzzysystemtrainedbyimprovedalgorithmisthesmallestandtheconvergenceeffectofwhichisoptimal.

Themodelobtainedbythefuzzysystemispredictedthroughthetestdataandthecorrectnessandaccuracyofthemodelbasedonthenewfuzzysystemisprovedtobebetter.Inaddition,millingparameteroptimizationmathematicalmodelisestablishedwhichputmachiningaccuracyandefficiencyastheoptimizationgoalandthoughtheresidualstressandthetoollifeasconstraints.AndtheDynamicAntAlgorithmGeneticAlgorithmisadoptedtooptimizethemodelcalculation.Themethodnotonlyretainstheadvantageofstrongrobustnessoftheoriginalsinglealgorithmbutalsoimproveitslocalsearchingabilityandconvergence.Fordifferentprocessingrequirements,theaccuratemillingparametercombinationcanbegotmorequickly.Finally,withVisualC++6.0asthesoftwaredevelopmentplatform,millingparameteroptimizationsystemisdevelopedtorealizetheMATLABsoftwarecalls,whichcancompleterapidpredictionofhigh-speedmillingsurfaceroughness.Bythesystemthetimeofpracticalproductionissavedandtheprocessingefficiencyisimproved.

Afterthekeytechnologiesofsurfaceroughnesspredictionbasedonhighspeedmillingandmillingparameteroptimizationstudied,theconsumptionoftheresourcesintheprocessofactualproductionisreduced.Thecostisreducedandtheefficiencyisimproved.Theadvantagesofhighefficiency,highprecisionofthehighspeedmillingarefullyplayed,andwhichisgotmoreextensiveapplicationandlayasolidfoundationforthefurtherstudyofhighspeedmilling.

科技论文英文摘要范文二：

Omni-directionalautomatedguidedvehicle（AGV）isakindofautonomousguidedvehicleonwhichassembledomni-directionalwheels.Bymeansofstructuraladvantages,ithasthreedegreesoffreedomonthemotionplane,includingtranslationalongX-axisandY-axis,rotationaroundZ-axis.Theomni-directionalAGVhasmoreadvantagestoconventionalwheeledAGVrobotwhenusedinanycongestedandnarrowenvironments.

Inthisthesis,anewtypeofomni-directionalAGVisdesignedbasedonMY3wheel,composedofmobileplatformandbody.Thebodyisdividedinto3layers,top,middleandbottom.Asfunctionalzone,thetoplayerreservescargo;Ascontrollingcenter,themiddlelayerconsistsofcontrollingboardanddrivingpoweroftherobot;Asdrivingpart,thebottomlayerconsistsofdrivingelectricengineanddriverofengine.Thechassisofomni-directionalAGViscomposedof4groupsofMY3wheelsarrangedin“+”shape.Thisomni-directionalAGVcouldtransportcargoweighedin50kgflexiblyinthemaximumspeedof0.25m/s.Inthispaper,thekinematicsmodeloffourwheeledomni-directionalAGVissetupaccordingtothestructurecharacteristicsofthethirdgenerationofMYwheel,whichlaysagoodfoundationforthefollowingcontroloftherobot.

Inthisthesis,tosatisfytherequirementsofthestabilityandreal-timeperformanceofthewholeroboticcontrol,acontrollingsystem,whichiscomposedofcomputer,microcontrolleranddriver,isdevelopedbasedonNIsbRIO9631embeddedcontrollingboard.Thecomputermainlycompletesprogrammingandthehuman-computerinterface.ThemicrocontrollerreceivesthemovementinstructionsfromthePCandthenconvertsthemintothetargetangleofeachmotor.Thesystemchecksexternalinformationoftherobotbymulti-sensorsdatafusiontechnology,suchasdetectingearthorbitbymeansofinfraredsensor,detectingobstaclesaroundbymeansofultrasonicsensor,andfeedingbackpracticalenvironmentimagesbymeansofcamera.Inthissystem,controllingsoftwareisalsodevelopedbasedonLabVIEW,thesoftwareissimpletooperateandfriendlytointerface.Finally,someapplicationtestsareconductedtoconformfeasibilityandvalidityofthewholecontrolsystem.

科技论文英文摘要范文三：

Inthispaper,researchofembroiderymachinebasedonmachinevisionhasbeencarriedout.Basedontheprincipleofmachinevisionsystems,theplatformforedgeextractionwasselected.Toremovetheeffectcausedbypicturedistortion,andtoobtainaccuratemeasurementsofobject,thecamerawascalibrated.Theedgeextractionalgorithmwasproposed,whichwasbasedonregionmorphologyanddifferentialgradientoperator.Inordertochangingdatabetweenembroiderymachineandoutsidedrawingsoftware,aoperatorwasproposedtotranslatethegraphicdataintothesewingdata.Researchonthecraftofsewingandtherequirementfunctionsofsoftware,buildingblockdesignforaHMIofthiscontrolsystemwascompleted.

Firstly,theplatformhasbeenbuiltconsistofcamera,cameralensandlightsource,accordingtotherequirementofvisualanalyzingandedge-extractingforsmallsheetsofleathersubstance.Toremovetheeffectcausedbypicturedistortion,whichcommonexistsinmachinevision,thecamerasystemhasbeencalibratedbyformingacameramodel.Andthroughthecameracalibrate,theaccuratemeasurementsofobjectwasobtained.

Secondly,havingstudiedthebasicrelationshipbetweenpixels,aspecialmethodofedge-extractingofleatherwasproposedbasedonregionmorphologyanddifferentialgradientoperator.Theresultoftheextractionwassegmentedintoline,arcandcurvewiththeRameralgorithm.Anedge-extractingoperatorcombinesleastsquarefittingmethodandB-splinecurveapproximatingmethodwasdeveloped,andtheanalysisresultswillbestoredinaDXFfile.

Then,Inordertoobtaintheedgeinformationofvisualanalyzingandenablethedata-exchangebetweenembroiderymachineandoutsidedrawingsoftware,programinthecontrolsystemwasdevelopedtofetchtheDXFfile.Theoperatorwasproposedtotranslatethegraphicdataintothesewingdata.

Finally,havingstudiedthecraftofsewingandtherequirementfunctionsofsoftware,buildingblockdesignforaHMIofthiscontrolsystemwascompleted.

Afterdebuggingandprocessing,Theembroiderymachinecontrolsystemachievetheprocessingrequirements.TheworkefficiencyofembroiderymachinewasenhancedbytheproposingoftheedgeextractionalgorithmandthesupportofDXFfile.