三轴数控平面磨床几何精度分析与稳健设计

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1、硕士学位论文AbstractWiththerapiddevelopmentofultrahighspeedgrindingmachiningtechnology,theprecisionperformanceofhighspeedCNCgrindingmachinerequesttogethigherandhigher.Fortraditionalprecisiondesignmethods,tolerancesofvariouspartsofgrindingmachinearedistributedmainlyrelyingonexperienceofde

2、signer.Theeconomyandrationalityofthismethodisinevitablepoorandithasbeenhardtomeettheincreasingdemandofprecision.Inordertosolvethisproblem,takingthegeometricerrorofthree-axisCNCgrindingmachineasresearchobject,ageometricaccuracyanalysisanddesignmethodwasproposedinthispaper.Themainres

3、earchcontentsareasfollows.(1)Geometricerrormodelingofthethree-axisCNCgrindingmachineandperformanceverificationoferrorpropagationmodel.Geometricerrorpropagationmodelisaprerequisitefortheanalysisanddesignofgeometricaccuracyandperformanceofmodelistheensuranceofthefollowingresearch.Fir

4、stly,thetheoreticalbasisoferrormodelingnamelymultibodysystemtheoryandhomogeneouscoordinatetransformationtheorywereanalyzed.Thenmethodoftopologyanalysisformulti-bodysystemandmethodoflow-bodyarraydescriptionwereintroduced.Thepositionandorientationtransformationmatrixesbetweentypicala

5、djacentbodiesinmultibodysystemwerededuced.Lastly,accordingtothespecificstructureofgrindingmachine,theerrorpropagationmodelincluding21geometricerrorswasestablished.Basedon9-linemethod,errorsweremeasuredbyusingXL-80laserinterferometersystem,thentheperformanceoferrorpropagationmodelwa

6、sverifiedandtheresultshowedthatthegeometricerrorpropagationmodelhasidealpredictionaccuracy.(2)Keygeometricerroridentificationforthree-axisCNCgrindingmachine.Differentkindsoferrorsinfluencemachiningprecisiondifferently,soit'snecessarytoidentifyandfocusonthekeygeometricerrorsinordert

7、oimprovetheefficiencyandrationalityofgeometricaccuracydesign.Accordingtotheerrorpropagationmodelandbasedontheerrordatathatobtainedbyerrormeasurementexperiment,keygeometricerrorswereanalyzedand11oneswereidentifiedbyapplyingorthogonaldesignandparametertestofDOEmethods.(3)Robustdesign

8、indistributionoftolerances