電火花加工金屬鈦的試驗研究與計算機仿真.pdf

1、大連理工大學碩士學位論文電火花加工金屬鈦的試驗研究與計算機仿真姓名：周燕申請學位級別：碩士專業(yè)：機械制造及自動化指導教師：趙福令20051201周燕：電火花加工金屬鈦的試驗研究與計算機仿真ExperimentationandComputerSimulationStudyofTechnologyforEDMmachiningTiAbstractElectricaldischargemachiningCEDM)isamaterialremo

2、valprocessbyusingthermalenergytomachineelectricallyconductivepartsBecauseofitsmachiningspeciality，ithasbeenextensivelyapplicatedinlotsofindustries，suchasavigation，spaceflight，microelectronics，etcIfcomputersimulationtechn

3、ologyisusedinEDM，itwillbehelpfultodrivethedevelopmentaboutmechanismofEDMOntheotherhand，Titanium(Ti)isusedwidely，buteveryoneknowsthatTiisatypicalhardcuttingmaterial，it’Sdi題culttobemachiningedbysometraditionalmachiningmeth

4、odAsSOfar，howtoimprovemachiningqualityofTiisstillaproblemBasedonthesetWOquestionsabove，throughaseriesofexperimentsofEDM，thispaperanalysesthetechnologicpeculiarityaboutEDMmachiningTiusingmathematicalstatisticsandcontrast，

5、summarizestherelationbetweenmachiningpolarityandmachiningresultMeanwhilethepaperutilizesMATLAB65softwaretOsetuptheartificialneuralnetworkmodel111epaperhasdones01Tleworkasfollows：(1)Relationshipbetweensometechnologicparam

6、etersandmachiningtargetisanalyseddeeplybyusingmathematicalstatisticsContrastedTiwithNAK80，thereasonaboutTieffectmachiningresultisalsoanalysed(2)Throughcontrastingdifferentpolarity，relationshipbetWeenpolarityandsurfacerou

7、ghnessmachiningrateisanalyseddeeply(3)ThepaperutilizesRadial—BasicFunction(ed3F)neuralnetworktosimulateEDMmachiningprocess，andbuildsaforecastmodelsuccessfullyBesidesthat，thepaperbuildsanotherforecastmodelbyusingBPneuraln

8、etworkandthroughcontrastingthesetwoneuralnetworks，It’ShopedthatanothermoreusefulsimulationmethodCanbegottenTheconclusionsarehelpfultoguideapplicationofEDMandwillbetheexperimentalbaseforsmdyingTideeply，andtheworkalsoprovi