高速鋼仿生耐磨表面的優(yōu)化設(shè)計(jì)方法研究.pdf

1、碩士學(xué)位論文碩士學(xué)位論文論文題目：高速鋼仿生耐磨表面的優(yōu)化設(shè)計(jì)方法研究學(xué)號：_________________________姓名：_________________________專業(yè)名稱：_________________________學(xué)院：_________________________指導(dǎo)教師：_________________________論文提交日期：2013年11月14日王姣1111081047機(jī)械工程機(jī)械工程與力學(xué)

2、學(xué)院寧波大學(xué)寧波大學(xué)王姣王姣1111081047于愛兵教授密級：公開UDC：分類號：TG74單位代碼：11646碩士學(xué)位論文高速鋼仿生耐磨表面的優(yōu)化設(shè)計(jì)方法研究高速鋼仿生耐磨表面的優(yōu)化設(shè)計(jì)方法研究高速鋼仿生耐磨表面的優(yōu)化設(shè)計(jì)方法研究IIBionicOptimalDesignfHSSWearresistanceSurfaceAbstractAsanemergedinterdisciplinarysubjectthebionictribol

3、ogyprovidesnewideasimptanttoolstodevelopnewweartechnique.HSSwasedastheresearchobject.Bionictechniquewearabletechniquewereachievedinthispaper.Toseektheoptimalwearresistingsurfacemathematicalmodelsofbionicsurfacewearwerees

4、tablishedparameterswereoptimizedwithGeicAlgithm.Referredtosomelivingganisms’wearresistingsurfaceconvexitystripewereedastypicalbionicfms.Theparametersoftheelementsincludeddiameterwidthdistanceheight.Microsizebionicelement

5、sontheHSSsurfacewereobtainedwithlasermeltingmethods.TheBoxBehnkendesignwasappliedtofrictionweartest.Theregressionequationofbionicsurfacewearwasestablishedbymultivariatenonlinearregressionanalysisbasedontheresultofmateria

6、lweartest.ParametersofwearmathematicalmodelwereoptimizedwithGeicAlgithm.Besidesfrictionweartestatlowerloaditssimulationresultswereachieved.Thewearmasslossofoptimizedconvexstriatesurfaceisreducedby42.1%41.1%respectively.a

7、llfrictioncoefficientsofbionicsurfacesaresmallerthanthoseofsmoothsurface.Howeverthewearofbionicsurfaceislessthansmoothsurfaceonlywhentheparametersofthebionicelementarereasonable.FEMsimulatedtestprovesthatthewearresistanc