简介:InordertoobtainultrafineNd-Fe-Bpowder,aspray-driedprecursorwastreatedbyreduction-diffusion(R/D)process.And,unliketheconventionalR/Dprocess,calciumreductionthatisacrucialstepfortheformationofNd2Fe14BwasperformedwithoutconglomeratingtheprecursorwithCapowder.Byadoptingthismodifiedprocess,itispossibletosynthesizethehardmagneticNd2Fe14Batthereactiontemperatureaslowas850℃.TheaveragesizeofNd2Fe14Bparticlesthatareuniformlydistributedintheoptimallytreatedpowderwas<<1μm.MostNd2Fe14BparticleswereenclosedwiththinlayersofNd-richphase.TypicalmagneticpropertiesofsuchpowderwithouteliminatingimpurityCaOwereiHc=~5.9kOe,Br=~5.5kG,and(BH)max=~6MGOe.
简介:Widegapbrazing(WGB)experimentsusingthebuttedspecimenwitha1.5mmgapwerecarriedoutfortherepairofthefailedK418Bsuperalloylow-pressureturbinevanes.Thehightemperaturecreeprupturestrengthsofthebrazedjointsweretested,andthemicrostructuresandfracturesurfacesofthejointswereobserved.TheresultsshowthatthemicrostructureofK418Balloyjointiscomposedofdenseequiaxedgrain,smallanddiscretecompoundswithafewmicro-pores.Duringthecreeprupturetest,thecracksinitiatepreferentiallyatthemicro-poreorthegrainboundary,thenpropagatealongthegrainboundarytillthefracturehappens.Thecreeprupturestrengthat700℃ofthebrazedjointswith50%brazemetalintheworkingpartcouldexceed90%thatoftheK418Bsuperalloy,andthejointswith100%brazemetalintheworkingpartachieve70%to80%ofthecreeprupturestrengthsfortheK418Bbasemetal.
简介:Inthepresentstudy,artificialneuralnetwork(ANN)approachwasusedtopredictthestress–straincurveofnearbetatitaniumalloyasafunctionofvolumefractionsofaandb.Thisapproachistodevelopthebestpossiblecombinationorneuralnetwork(NN)topredictthestress–straincurve.Inordertoachievethis,threedifferentNNarchitectures(feed-forwardback-propagationnetwork,cascade-forwardback-propagationnetwork,andlayerrecurrentnetwork),threedifferenttransferfunctions(purelin,Log-Sigmoid,andTan-Sigmoid),numberofhiddenlayers(1and2),numberofneuronsinthehiddenlayer(s),anddifferenttrainingalgorithmswereemployed.ANNtrainingmodules,theloadintermsofstrain,andvolumefractionofaaretheinputsandthestressasanoutput.ANNsystemwastrainedusingthepreparedtrainingset(a,16%a,40%a,andbstress–straincurves).Aftertrainingprocess,testdatawereusedtochecksystemaccuracy.Itisobservedthatfeed-forwardback-propagationnetworkisthefastest,andLog-Sigmoidtransferfunctionisgivingthebestresults.Finally,layerrecurrentNNwithasinglehiddenlayerconsistsof11neurons,andLog-Sigmoidtransferfunctionusingtrainlmastrainingalgorithmisgivinggoodresult,andaveragerelativeerroris1.27±1.45%.Intwohiddenlayers,layerrecurrentNNconsistsof7neuronsineachhiddenlayerwithtrainrpasthetrainingalgorithmhavingthetransferfunctionofLogSigmoidwhichgivesbetterresults.Asaresult,theNNisfoundedsuccessfulforthepredictionofstress–straincurveofnearbtitaniumalloy.
简介:TheCurietemperatureof(Nd1-xPrx)2Fe14CoyBcompounds(x=0,0.2,…,1.0andy=O,2,4,6,14)hasbeendeterminedwithACinitialsusceptibilitymeasurement.ItwasfoundthatthevariationsofCurietempera-turewithxisnotlinearfory=0and14,whereasitislinearforothervaluesofy.Thelatticeconstantsof(Nd1-xPrx)2Fet14BweredeterminedbyusingX-raydiffraction.Thelatticeexpansionwasmostlyalongthecaxis,whereasthatalongthea-axisremainedpracticallyzeroforthewholeseries.ItissuggestedthatPratomsmayshowsitepreferenceinR2M14Bcompounds(M=FeorCo).DuetothesubstitutionofCoforFe.thetendencyofsitepreferenceofPrbecomeslesspronounced,whichmaybeattributedtothedecreaseofdiffer-enceofcrystalelectricfield(CEF)actingonthetworareearthsiteswiththeintroductionofCoorFe.Incon-trasttothatofthePratoms,thesitepreferenceofCoiu(Nd(1-x)Prx)2Fe(14-y)CoyBcompoundsdoesnotdependonthecompositionoftherareearthsublattice(R=NdorPr).
简介:采用B50A789材料制备的压气机叶片产生的缺陷,主要是由于原材料内部夹杂、局部偏析、组织粗大,带状偏析和折叠引起的.本研究采用金相和能谱分析方法研究了锻造压气机叶片表面裂纹的形成机理,并对其锻造裂纹的形成过程进行有限元模拟.结果表明结合低倍及高倍形貌特征,可以得出叶片缺陷为锻造加工过程产生的折叠裂纹;通过有限元模拟分析认为锻造叶片表面裂纹是源于锻件在制坯过程中,在连接杆与安装圆盘的转接处形成啃伤台阶,导致终锻结束时在叶身形成折叠裂纹缺陷.同时通过对试验过程中锻造工艺调整,采用分料卡子对过渡区分料或进行打磨来保证转角半径圆滑过渡,可有效避免叶片表面折叠和裂纹缺陷的形成.