Challenges in High Frequency Vibration Design

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    Challenges inChallenges in 11 off 19off 19

    Challenges in HighChallenges in High

    Frequency VibrationFrequency Vibration

    DesignDesign

    Kulkarni Satish S.Kulkarni Satish S.Sr. Lecturer, Textile and Engineering Institute,Sr. Lecturer, Textile and Engineering Institute,Ichalkaranji 416115. INDIAIchalkaranji 416115. INDIA

    [email protected]@indiatimes.com

    Dr. Padte J. C.Dr. Padte J. C.Director, FIE Research Institute, IchalkaranjiDirector, FIE Research Institute, Ichalkaranji416115. INDIA416115. INDIA

    International Conference onResource Utilization and Intelligent

    Systems

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    Topics for DiscussionTopics for Discussion

    Why Vibration Design?Why Vibration Design?

    Present TrendsPresent Trends Deterministic TechniquesDeterministic Techniques

    Modal AnalysisModal Analysis

    Domain DecompositionDomain Decomposition

    Energy Finite Element MethodEnergy Finite Element Method

    Probabilistic TechniquesProbabilistic Techniques

    Statistical Energy AnalysisStatistical Energy Analysis

    ComparisonComparison

    Challenges at High FrequencyChallenges at High FrequencyVibration DesignVibration Design

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    Modal AnalysisModal Analysis

    Modal TestingModal Testing

    Finite Element Model UpdatingFinite Element Model Updating Co-relation techniquesCo-relation techniques

    Structural Dynamic ModificatioStructural Dynamic Modificatio

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    Description of Structure Response Levels

    Description of StructureResponse Levels

    Vibration Modes Vibration Modes

    Spatial Model

    SpatialModel

    ModalModel

    ModalModel

    ResponseModel

    ResponseModel

    Routes of Modal Analysis

    Mass, Stiffness,Damping

    Frequency/ImpulseResponse

    NaturalFrequency, Mode

    Shapes

    Experimental Modal

    Analysis

    Analytical Modal

    Analysis

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    Co-relation techniquesCo-relation techniques

    Orthogonality CheckOrthogonality Check

    single indicator for coupled errors inthe analytical model development, the

    reduction of the analytical model and

    the estimated modal vectors and was

    not best approach

    Modal Assurance CriteriaModal Assurance Criteria To provide a measure of consistency

    (degree of linearity) between

    estimates of a modal vector.

    Interpretation of MACInterpretation of MAC

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    Modal Assurance CriteriaModal Assurance Criteria

    Interpretation of MACInterpretation of MAC MAC UnityMAC Unity((the modal vectors are consistent.)

    The modal vectors have been incompletelymeasured.

    The modal vectors are the result of a

    forced excitation other than the desiredinput.

    The modal vectors are primarily coherentnoise.

    The modal vectors represent the samemodal vector with different arbitrary

    scaling.

    MAC Zero (MAC Zero (modal vectors are not consistent.)

    The system is non-stationary.

    There is noise on the reference modalvector.

    The modal parameter estimation is invalid.

    The modal vectors are from linearlyunrelated mode shape

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    Finite Element Model

    Updating

    Sources of Error in FE Model

    Nature and Distribution of damping in theStructure cannot be obtained theoretically

    Accurate stiffness and damping modeling of

    joints in complex structure

    Type of mesh and Nature of finite element and

    Co-ordinates of interest in FE model

    Basic SDM Approach Orthogonality check- Comparison of

    measured mode shapes with theoretical mass

    Adjustments of measured mode shapes

    Adjustments of Theoretical Stiffness Matrices

    System Error matrices

    Inverse Mass and Stiffness

    Mass and Stiffness

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    Structural DynamicStructural Dynamic

    ModificationModificationORIGINALTATE

    MODIFIED STATE

    Modification

    OriginalMass, Stiffness ModifiedMass, Stiffness

    OriginalModes

    Change in Mass Stiffness

    ModifiedModes

    ModalTrans

    formations

    ModalTrans

    formations

    Change in Modal Displacements

    Physical Space

    N Physical DOF

    Modal Space

    M Modal DOF

    N

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    Other DeterministicOther Deterministic

    TechniquesTechniques

    Domain DecompositionDomain Decomposition Component Mode Synthesis (CMS)Component Mode Synthesis (CMS)

    Craig Bampton DecompositionCraig Bampton Decomposition

    Automated Multilevel Sub structuringAutomated Multilevel Sub structuringMethod (AMLS)Method (AMLS)

    Energy Finite Element MethodEnergy Finite Element Method It predicts mechanical energy basedIt predicts mechanical energy based

    on energy equilibrium equationson energy equilibrium equations able to model local effects like localable to model local effects like local

    damping and localized power inputdamping and localized power input

    Analysis of these components can beAnalysis of these components can be

    obtained by existing FE codes ofobtained by existing FE codes ofthermal analysis.thermal analysis.

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    Statistical EnergyStatistical Energy

    AnalysisAnalysis

    System 1E1

    System 2E2

    owernjected

    PowerDissipated

    owernjected

    PowerFlow

    Between

    Systems

    PowerDissipated

    Two System SEA ModelTwo System SEA Model

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    Terminologies Used in SEATerminologies Used in SEA

    Modal DensityModal Density Minimum 3 to 4 modes in one third octaveMinimum 3 to 4 modes in one third octavebandband

    Input PowerInput Power Dissipation of EnergyDissipation of Energy

    Coupling Loss FactorCoupling Loss Factor Sub System (SS)Sub System (SS)

    Group of similar energy storage modesGroup of similar energy storage modes(Flexural, Torsional acoustic cavities etc.)(Flexural, Torsional acoustic cavities etc.)

    Assumption for SSAssumption for SS

    Effect of boundary conditions on SS is small.Effect of boundary conditions on SS is small.This implies that number of modes in givenThis implies that number of modes in givenfrequency band to be high.frequency band to be high.

    Response doesnt vary largely over SS. ThisResponse doesnt vary largely over SS. Thisimplies that the damping in the system shouldimplies that the damping in the system shouldbe low and that the response of the system isbe low and that the response of the system isreverberant.reverberant.

    Modes are randomly distributed over a range ofModes are randomly distributed over a range ofanalysis.analysis.

    System contains equal energy at all frequencySystem contains equal energy at all frequencybands.bands.

    Energy is stored in response of SS.Energy is stored in response of SS.

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    ComparisonComparison

    Deterministic TechniquesDeterministic Techniques

    Experimental Modal AnalysisExperimental Modal Analysis

    Co-relation and MACCo-relation and MAC

    Structural Dynamic ModificationStructural Dynamic Modification

    Analytical Deterministic TechniqueAnalytical Deterministic Technique

    Probabilistic TechniquesProbabilistic Techniques

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    Comparison :ExperimentalComparison :Experimental

    Modal AnalysisModal Analysis

    State of art instrumentationState of art instrumentation

    and Analysis Softwares areand Analysis Softwares areavailableavailable

    Unable to adjust theUnable to adjust theexperimental conditions withexperimental conditions with

    that of Application.that of Application. Proper selection of sensorProper selection of sensor

    locations and measuringlocations and measuringinstruments is needed forinstruments is needed for

    avoiding loading effect ofavoiding loading effect ofsensors.sensors.

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    Co-relation and MACCo-relation and MAC

    validation of experimental results,validation of experimental results,correlation of analytical modelcorrelation of analytical modelwith experimental models, modalwith experimental models, modalvector error analysisvector error analysis

    Misuse of MACMisuse of MACThe MAC is not an orthogonalityThe MAC is not an orthogonality

    check.check.

    The wrong mathematicalThe wrong mathematical

    formulation for the MAC is used.formulation for the MAC is used.The MAC is sensitive to largeThe MAC is sensitive to large

    values (wild points?) andvalues (wild points?) andinsensitive to small values.insensitive to small values.

    The number of elements in theThe number of elements in the

    modal vectors (space) is small.modal vectors (space) is small.The modal vectors have beenThe modal vectors have been

    zero padded.zero padded.

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    Comparison: StructuralComparison: Structural

    Dynamic ModificationDynamic Modification Truncation of modes. Modal databaseTruncation of modes. Modal database

    contain only few lower order modes.contain only few lower order modes.

    Lack of rotational DOF for manyLack of rotational DOF for many

    modifications that involve rotational DOF.modifications that involve rotational DOF.Even today, techniques available toEven today, techniques available tomeasure rotational DOF are costly andmeasure rotational DOF are costly andare unable to guarantee exactness of theare unable to guarantee exactness of theresults. Analytical approaches like splineresults. Analytical approaches like splinefits of measured data; analyticalfits of measured data; analytical

    representations of curvature etc are usedrepresentations of curvature etc are usedas a substitute.as a substitute.

    Rigid body modes are not included inRigid body modes are not included inmodal data. These are required to definemodal data. These are required to definethe inertial characteristics of thethe inertial characteristics of thecomponent.component.

    Incorrect mode shape scaling. TheIncorrect mode shape scaling. Theprojected changes to the system in modalprojected changes to the system in modalspace will be directly affected due to this.space will be directly affected due to this.

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    Comparison: AnalyticalComparison: Analytical

    Deterministic TechniquesDeterministic Techniques

    Suitable at low frequency.Suitable at low frequency. At high frequencyAt high frequency

    element size is small and timeelement size is small and timerequired for analysis is prohibitivelyrequired for analysis is prohibitivelylarge.large.

    modes are closely spaced and modemodes are closely spaced and mode

    separation is not possibleseparation is not possible number of modes increases withnumber of modes increases with

    frequency and hence analysis isfrequency and hence analysis isunable to provide any practicalunable to provide any practicalinformationinformation

    structures are more sensitive tostructures are more sensitive tostructural modificationsstructural modifications

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    Comparison: ProbabilisticComparison: Probabilistic

    TechniquesTechniques

    can handle large number of modes at onecan handle large number of modes at onetime and able to give practical resultstime and able to give practical results

    regarding spatial variations of certainregarding spatial variations of certainparameters over wide frequency band.parameters over wide frequency band.

    describe the system in much simpler waydescribe the system in much simpler way unable to give variation of them within theunable to give variation of them within the

    elementelement

    the local data is lostthe local data is lost useful for structures with low value ofuseful for structures with low value of

    dampingdamping

    required mode density is high and hencerequired mode density is high and hence

    it is not useful at low frequency.it is not useful at low frequency.

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    Challenges at HighChallenges at High

    Frequency VibrationFrequency Vibration

    AnalysisAnalysis Estimation of variability and confidenceEstimation of variability and confidence

    intervals of SEA predictions andintervals of SEA predictions andparameters.parameters.

    Study of transient behavior using SEA.Study of transient behavior using SEA.

    Integration of FEA, SEA and EnergyIntegration of FEA, SEA and EnergyFlow Models.Flow Models.

    To develop techniques to estimate SEATo develop techniques to estimate SEA

    parameters in efficient and optimalparameters in efficient and optimalmanner from FE models.manner from FE models.

    To develop experimental methods toTo develop experimental methods toestimate SEA parameters.estimate SEA parameters.

    To develop SEA/Energy Flow Models forTo develop SEA/Energy Flow Models for

    assembled structures.assembled structures. Estimation of parameters for uncertainEstimation of parameters for uncertain

    structures.structures.

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