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: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.
简介:在飞机多层铆接结构层间腐蚀缺陷的脉冲涡流检测中,需要识别提离效应造成的干扰信号和缺陷信号,同时也需要判断缺陷深度。制作了模拟飞机多层铆接金属结构的试样,对不同深度和大小的腐蚀缺陷进行了检测。采用主成分分析(PrincipalComponentAnalysis,PCA)方法对实验数据进行处理,并提取前3个主成分进行分析。结果表明:应用PCA方法,可以将纯提离信号与带层间腐蚀缺陷的信号显著区别开来,可以将不带提离时的纯腐蚀信号的深度识别出;将PCA提取的主成分应用K-means算法进行聚类,可以将纯提离信号与纯腐蚀信号和腐蚀提离混合信号区别开来。而对于带提离的腐蚀,试验发现其PCA分布与不同深度的纯腐蚀出现混淆,因而不能准确识别这两种信号。