简介:X-raydiffraction(XRD)anddifferentialscanningcalorimetry(DSC)wereemployedtoinvestigatetheinfluenceofNicontentonthecrystallizationofamorphousZr70Cu30-xNix(atomfrationin%)alloys,ExperimentalresultsshowthatwiththeNicontentincreasingtheactivationenergiesforcrystallizationofamorphousZr70Cu30-xNixalloysincreasecorrespondingly,indicatingthatthethermalstabilityisgreatlyimproved.AlltheDSCtracesofamorphousZr70Cu30-xNixalloysexhibittwoexothermicpeaks,suggestingthatthecrystallizationprocessviaadouble-stageticles,whilethesecondonecorrespondstotheprecipitaionofnano-scaleZr2Niphaseandcrystallizationofresidualamporphousphase,ThemechanismonthecrystallizationofamorphousZr70Cu30-xNixalloyswasdiscussed.
简介:AnewtypeofDZ9000EOxygenGaseousHVOFsystem(GHVOF)isdevelopedwhichcanreducethecostofcoatingsandincreasethein-situremovabilitytoadaptvariousworkingconditions.Thewholesystemiseconomical,whichenablesthesystemtomeettherequirementofsprayingmediumorlowcostHighVelocityOxy-Fuel(HVOF)coatingsformediumandsmalljobshops.ThedepositedcermetscoatingsbytheDZ9000EsystemhavegoodperformancewithaveragemicrohardnessHV0.2ofmorethan1000andthebondstrengthbetweencoatingandsubstrateofgreaterthan50MPa.
简介:Non-stoichiometriccompoundfluoride-dopedLiFePO4/Ccathodematerialsweresynthesizedviasolid-statereactionusingMgF2andAlF3asdopant.Thefluoride-dopedLiFePO4/CsampleswerecharacterizedbyX-raydiffraction(XRD),scanningelectronmicroscopy(SEM),transmissionelectronmicroscopy(TEM),andelectrochemicaltesting.TheresultsshowthatthematerialsarewellcrystallizedandfluoridedopingcannotchangethespacestructureofLiFePO4.SlightamountsofFe2O3withnofluorideimpuritywere...
简介:本文从观测常规产品Ni70Mn25Co5触媒合金片的表面缺陷入手,讨论了触媒片表观质量对金刚石合成效果的影响,从而也为触媒产品质量标准的制定提供了某些参考依据。
简介:Basedonthemethodofartificialneuralnetwork,anewapproachhasbeendevisedtopredictthemechanicalpropertyofE4303electrode.Theoutlinedpredicationmodelfordeterminingthemechanicalpropertyofelectrodewasbuiltupontheproductiondata.Theresearchleveragesabackpropagationalgorithmastheneuralnetwork'slearningrule.Theresultindicatesthattherearepositivecorrelationsbetweenthepredictedresultsandthepracticalproductiondata.Hence,usingtheneuralnetwork,predicationofelectrodepropertycanberealized.Forthefirsttime,thisresearchprovidesamorescientificmethodfordesigningelectrode.