Impedance Modeling Frequency Based...

38
1 Dr. Peter Avitabile Modal Analysis & Controls Laboratory Impedance Based Modeling & FBS Impedance Modeling & Frequency Based Substructuring Peter Avitabile Modal Analysis and Controls Laboratory University of Massachusetts Lowell

Transcript of Impedance Modeling Frequency Based...

Page 1: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

1 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling&

Frequency Based Substructuring

Peter AvitabileModal Analysis and Controls Laboratory

University of Massachusetts Lowell

Page 2: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

2 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Based Modeling Considerations

• Describe the impedance modeling approach• Extend this technique to system model development

• A significant amount of effort is required to completely describe all aspects of these techniques

Objectives of this lecture:

Page 3: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

3 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Techniques

The impedance modeling approach has been around for many years. Its application becomes more popular as major breakthroughs occur in either

measurement capability (16-24 bit ADC) or

computational speed availability (PC systems)

Page 4: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

4 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Techniques

A frequency response function can be easily measured with high resolution on today’sdigital data acquisitionsystems

or computed easily from an analytical model

)pj(

uuq)pj(

uuq)j(H *

k

*jk

*ikk

m

1k k

jkikkij

−ω+

−ω=ω ∑

=

Page 5: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

5 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Techniques

Consider a cantilever beam. It is desired to estimate the FRF between point c and b when the tip of the beam is pinned to ground.In particular, the FRF hcb when xa = 0

abc

Page 6: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

6 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Techniques

The response at "a" is related to the force at "a" and "b" through

where xa is the vertical translation at the tip of the beam. With the constraint xa = 0, the force at point "a" becomes

abc

aaababa fhfhx +=

bab1-aaa fhhf −=

Page 7: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

7 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Techniques

The response at "c" due to an excitation at “a” and "b" is

In order to include the effects of the constraint at “a” , the force at point "a" with the constraint xa = 0, changes this equation to

which are obtained from the unconstrained system

abc

bcbacac fh+fhx =

ab1-aacacb

b

ccb~

hhh-h=fxh =

Page 8: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

8 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Summary of Impedance Modeling

Frequency Response Functions can also be used to investigate structural modifications. The FRF can be written as

Using force balance and compatibility equations, the effects of a modification can be written in terms of the unmodified system as

)pj(

uuq)pj(

uuq)j(H *

k

*jk

*ikk

m

1k k

jkikkij

−ω+

−ω=ω ∑

=

ab1aacacb

b

ccb HHHH

FxH~ −−==

aaababa FHFHx +=

bab1aaa FHHF −−=

bcbacac FHFHx +=

c b a

Page 9: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

9 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

Consider combining two systems together

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

Page 10: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

10 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

The equation of motionfor each component is

where n = a + c for component (A) n = b + c for component (B).

Note that the number of "c" coordinates are the same on component (A) and (B)

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

{ } [ ] { }nnnn FHX =

Page 11: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

11 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

Component A can be partitioned as

Component B can be partitioned as

{ }{ }

[ ] [ ][ ] [ ]

{ }{ } ncAa

A

nnccA

caA

acA

aaA

ncAa

A

FF

HHHH

XX

=

{ }{ }

[ ] [ ][ ] [ ]

{ }{ } nbBc

B

nnbbB

bcB

cbB

ccB

nbBc

B

FF

HHHH

XX

=

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-8)(4-8)(4-8)

(4-8)

(4-9)

Page 12: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

12 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

When rigidly connecting Component A to Component B,compatibility implies that

and equilibrium at the "c" DOFs requires that

where "S" superscript is used to represent system comprised of Component A rigidly coupled to Component B at the connection DOFs "c"

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

{ } { } { }cScB

cA XXX ==

{ } { } { }cScB

cA FFF =+

(4-10)

(4-11)

Page 13: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

13 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

The FRFs of the uncoupled system can be defined as

From the partitioned equations for Component A and Component B, the connection DOF are

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

{ }{ }{ }

[ ] [ ] [ ][ ] [ ] [ ][ ] [ ] [ ]

{ }{ }{ }

nbSc

Sa

S

nnbbS

bcS

baS

cbS

ccS

caS

abS

acS

aaS

nbSc

Sa

S

FFF

HHHHHHHHH

XXX

=

(4-12)

(4-13)

(4-14)

{ } [ ] { } [ ] { }cAcc

Aa

Aca

Ac

A FHFHX +=

{ } [ ] { }[ ] [ ] { }bBcb

Bc

Bcc

Bc

B FHFHX +=

Page 14: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

14 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

These two equations can be equated and used to solve for the connection force as

From these equations derived above, the coupled system FRFs can be determined in terms of the uncoupled FRFs of the individual components. Equations (4-8), (4-9), (4-12) and (4-15) are used in the development of the coupled system.

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-15)

{ } [ ] [ ][ ] [ ] { } [ ] { } [ ] { }[ ]cSccB

aA

caA

bB

cbB1

ccB

ccA

cA FHFHFHHHF~ +−+=

Page 15: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

15 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

As an example,will be derived The first equation of (4-12) of the coupled system is

and the first equation of (4-8) of the uncoupled system is

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-16)

(4-17)

[ ]aaSH

{ } [ ] { } [ ] { } [ ] { }bSabS

cS

acS

aS

aaS

aS FHFHFHX ++=

{ } [ ] { } [ ] { }cAac

Aa

Aaa

Aa

A FHFHX +=

Page 16: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

16 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

When the systems are coupled, the force on "A" from "B" is given by from (4-15) and the corresponding response associated withthat coupling force is which then becomes

then (4-16) and (4-18) combine to give

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-18)

(4-19)

{ }cAF~

{ }aSX{ } [ ] { } [ ] { }cA

acA

aA

aaA

aS F~HFHX +=

[ ] { } [ ] { } [ ] { }[ ] { } [ ] { }cA

acA

aA

aaA

bS

abS

cS

acS

aS

aaS

F~HFH

FHFHFH

+=

++

Page 17: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

17 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

The FRF, is developed realizing that are zero

Substituting (4-15) into (4-19) and simplifying, allows for the calculation of in terms of the uncoupled FRF matrices as

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-20)

[ ]aaSH

{ }cSF { }bSF { }bBF

[ ]aaSH

[ ] [ ] [ ] [ ] [ ][ ] [ ]caA1cc

Bcc

Aac

Aaa

Aaa

S HHHHHH−

+−=

Page 18: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

18 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

Schematically this is shown as

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

[ ] [ ][ ] { }cjA1cc

Bcc

Aic

AAij

Sij HHHHhh

−+−=

COMPONENT A

COMPONENT B

CONNECTION POINTS

ji

FRFsdescribingconnection

points

FRFsdescribinginput force

points

FRFsdescribing

output responsepoints

Page 19: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

19 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Techniques

Additional relations are dervied as

COMPONENT (A)

a-DOFs b-DOFsc-DOFs c-DOFs

SYSTEM (S)

COMPONENT (B)

(4-23)

(4-24)

[ ] [ ] [ ] [ ][ ] [ ]ccB1cc

Bcc

Aac

Aac

S HHHHH−

+=

[ ] [ ] [ ] [ ][ ] [ ]cbA1cc

Bcc

Aac

Aab

S HHHHH−

+=

[ ] [ ] [ ] [ ][ ] [ ]ccB1cc

Bcc

Acc

Acc

S HHHHH−

+=

[ ] [ ] [ ] [ ][ ] [ ]cbB1cc

Bcc

Acc

Acb

S HHHHH−

+=

[ ] [ ] [ ] [ ] [ ][ ] [ ]cbB1cc

Bcc

Abc

Bbb

Bbb

S HHHHHH−

+−=

(4-21)

(4-22)

(4-25)

Page 20: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

20 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Comparison of Some System Modeling Approaches

Excerpts of results from:Sound & Vibration Digest, Vol. 33, No. 4, July 2001, pp281-291, Sage Publications

m

m

k

k

c

c

1

1

2

2

1

2

4 . 0 0 . 1 1 . 0

L i n e a r F r e q u e n c y ( H z ) 3 . 0

2 . 0 5 . 0

1.0 E+1

1.0 E+2

m

k 2 c 2

2

4 . 0 0 . 1 1 . 0

L i n e a r F r e q u e n c y ( H z ) 3 . 0

2 . 0 5 . 0

1.0 E+3

1.0 E+4

m

k

1

1 c 1

Page 21: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

21 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling ApplicationMODAL TO MODAL SOLUTION

Using modal component representations, the following system models were developed• 5 modes Component A-5 modes Component B• 10 modes Component A-10 modes Component B• 5 modes Component A-10 modes Component B

FULL SPACE PHYSICAL MODEL

FULL SPACE PHYSICAL MODEL

MODAL SPACE MODEL

MODAL SPACE MODEL

MODAL TIE MATRIX

COMPONENT A

COMPONENT B

Page 22: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

22 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling ApplicationMODAL TO MODAL SOLUTION

The system model results wereMode Reference 5A+5B 10A+10B 5A+10B

1 9.63 9.63 9.63 9.632 30.98 30.98 30.98 30.983 60.14 60.15 60.14 60.144 81.64 83.24 81.80 81.955 85.49 85.59 85.50 85.526 135.83 135.87 135.83 135.847 196.22 314.80 196.27 196.478 279.88 677.07 280.05 280.199 305.97 307.26 311.95

10 407.31 407.33 407.4011 525.90 526.81 527.40

• 5 modes yielded good results for lower modes; truncation affected higher modes• 10 modes improved results significantly• 5 modes for A and 10 modes for B also produced very good results

- truncation of B is more critical than truncation of A

Page 23: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

23 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Application REDUCED TO REDUCED SOLUTION

Using a reduced physical representation for Component A and B (both Guyan andSEREP), a system model was developed using only 5 dof for each of the components

REDUCED COMPONENT A

REDUCED COMPONENT B

1 10 20 29

1 15

COMPONENT B

1 10 20 29

COMPONENT A

Page 24: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

24 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Application REDUCED TO REDUCED SOLUTION - 5 GOOD DOF

The system model results wereGood Distribution - 5 DOF

Mode Reference Guyan SEREP1 9.63 9.64 9.632 30.98 31.54 30.983 60.14 65.91 60.154 81.64 82.27 83.245 85.49 91.81 85.596 135.83 143.26 135.877 196.22 324.67 314.808 279.88 672.36 667.07

• Guyan reduced component looses accuracy after the second mode of thesystem even though this is a reasonably good selection of points

• SEREP reduced component has good results for first 6 modes of the system• SEREP reduced models produced better results when compared to Guyan

Page 25: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

25 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Application IMPEDANCE SOLUTION

Using a hybrid model representation (FRFs) for Component A and B, the followingsystem models were developed with FRFs synthesized as follows

• 5 modes for Component A and B• 10 modes for Component A and B• All modes for Component A and B

COMPONENT A

COMPONENT B

Page 26: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

26 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Application

hij_C_5 UNIV:3:+Y

-110

-10

-100

0 511.5 100 200 300 400 -110

-10

-100

Hz

dB

hij_C10 UNIV:3:+Y

-110

-10

-100

0 511.5 100 200 300 400 -110

-10

-100

Hz

dB

hij_C UNIV:3:+Y

-110

-10

-100

0 511.5 100 200 300 400 -110

-10

-100

Hz

dB

Impedance Modeling

FRF with 5 Modes

FRF with 10 Modes

FRF with All Modes

Page 27: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

27 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling ApplicationImpedance Modeling

The system model results were

Mode Reference 5A+5B 10A+10B All1 9.63 9.63 9.63 9.632 30.98 30.98 30.98 30.983 60.14 60.16 60.00 60.004 81.64 83.29 83.30 83.305 85.49 85.55 85.60 85.606 135.83 135.86 135.87 135.877 196.22 315.58 195.76 196.168 279.88 285.67 285.679 305.97 306.78

The following can be seen from these results• as more modes are added for the synthesis the results improve• notice that the case of 5A+5B produces the same results as the SEREP to

SEREP reduced modes with 5 modes

Page 28: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

28 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

System Modeling Application

The system model results for each of the different approachesusing 5 modes are essentially identical

Mode Reference Modal Reduced Hybrid1 9.63 9.63 9.63 9.632 30.98 30.98 30.98 30.983 60.14 60.15 60.15 60.164 81.64 83.24 83.24 83.295 85.49 85.59 85.59 85.556 135.83 135.87 135.87 135.86

COMPARISON OF MODAL - SEREP REDUCED - IMPEDANCE

Page 29: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

29 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Application of Hybrid Modeling Techniques for Computer Related EquipmentExcerpts of results from IMAC 15 paper

Impedance Modeling for Machine Tool ApplicationsExcerpts of results from IMAC 18 paper

Page 30: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

30 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Applications

In addition to more conventional system modeling approaches, measured frequency response functions can also be used to assemble systems and provide more realistic boundary conditions

HYBRID MODELING

MACHINE

SYNTHESIZED FROMCONNECTION IMPEDANCE

CONNECTION IMPEDANCEMEASURED AT MACHINE

FEM OF WORKPIECE

REFERENCE IMPEDANCESYNTHESIZED FROM FEM OF WORKPIECE

CHUCK

Hz

(m/s2)/N

dB

0 25501000 2000

0

120

100

Dof 15286 REFERENCEDof 15286 CALCULATED

calc3_xyz UNIV:1974:+Z

-70

10

-60

-50

-40

-30

-20

-10

0

5 255.75100 200

-70

10

-60

-50

-40

-30

-20

-10

0

Hz

(s2)/(kg)

dB

FEM

HYBRID

Page 31: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

31 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Applications

Use of impedance modeling techniques for development of system model using finite element componet models to develop FRFs

calc3_xyz UNIV:1974:+Z

-70

10

-60

-50

-40

-30

-20

-10

0

5 255.75100 200

-70

10

-60

-50

-40

-30

-20

-10

0

Hz

(s2)/(kg)

dB

FEM

HYBRIDHYBRID MODELING

Page 32: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

32 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - FEM Components

• FEM models of individual components can become large

• Combining components results in very large system models which can become difficult to handle and interpret

• Impedance models are an effective approach for the development of a complete system model

Impedance Modeling is not just for test ! ! !

HYBRID MODEL

INPUT

OUTPUT

Page 33: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

33 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - FEM Components

• FEM model results only obtained up to 150 Hz

• Impedance model results produced essentially identical results

• Only responses at connection points and locations of applied force and desired response are necessary to develop this model

Impedance Model and FEM Results

calc3_xyz UNIV:1974:+Z

-70

10

-60

-50

-40

-30

-20

-10

0

5 255.75100 200

-70

10

-60

-50

-40

-30

-20

-10

0

Hz

(s2)/(kg)

dB

FEM

HYBRID

Page 34: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

34 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - FEM Components

• FEM model can onlyhandle simplistic B.C.

• Impedance model contains the actual boundary condition of the attached component

• Overall improvedsystem characteristics are obtained

Impedance Model allows for other than traditional FEM boundary conditions

COMPONENTEVALUATION

BOARD ATTACHMENT POINTS

FREE

PINNED

FIXED

SPRING

??

?

?

FREE

PINNED

FIXED

SPRING

FREE

Page 35: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

35 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling Applications

Machine tool part dynamic characterization using measured component FRFs

MACHINE

SYNTHESIZED FROMCONNECTION IMPEDANCE

CONNECTION IMPEDANCEMEASURED AT MACHINE

FEM OF WORKPIECE

REFERENCE IMPEDANCESYNTHESIZED FROM FEM OF WORKPIECE

Hz

(m/s2)/N

dB

0 1000

-30

120

0

1001085 reference

1085 calculated

Hz

(m/s2)/N

dB

0 5117.51000 2000 3000 4000

20

130

100

Dof 1085 REFERENCEDof 1085 CALCULATED 20 MODES

Hz

(m/s2)/N

dB

0 25501000 2000

0

120

100

Dof 15286 REFERENCEDof 15286 CALCULATED

Page 36: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

36 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - Test & FEM Components

• FEM model can onlyhandle simplistic B.C.

• What are the proper B.C.to be used in the FEMto obtain the correct frequencies

• No FEM of the lathe is available - nor does anyone want to put one together

FEM boundary conditions for Cam Shaft in Lathe Machine Assembly difficult to model

Page 37: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

37 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - Test & FEM Components

• FEM model in free-freecondition used to synthesize FRFs needed

• Impedance measurementsat lathe attachment pointsmeasured

• Lathe chuck measurements made with impact technique

Impedance information at the attachment points on the lathe and cam shaft are all that is needed

MACHINE

SYNTHESIZED FROMCONNECTION IMPEDANCE

CONNECTION IMPEDANCEMEASURED AT MACHINE

FEM OF WORKPIECE

REFERENCE IMPEDANCESYNTHESIZED FROM FEM OF WORKPIECE

Page 38: Impedance Modeling Frequency Based Substructuringfaculty.uml.edu/pavitabile/22.515/Fabio_fbs_thesis.pdf · xc =HcaFa +HcbFb cb a. 9 Dr. Peter Avitabile Modal Analysis & Controls Laboratory

38 Dr. Peter AvitabileModal Analysis & Controls LaboratoryImpedance Based Modeling & FBS

Impedance Modeling - Test & FEM Components

Impedance Modeling results are compared to actual measured FRFs for several configurations

Hz

(m/s2)/N

dB

0 1000

-30

120

0

1001085 reference

1085 calculated

Hz

(m/s2)/N

dB

0 5117.51000 2000 3000 4000

20

130

100

Dof 1085 REFERENCEDof 1085 CALCULATED 20 MODES

Hz

(m/s2)/N

dB

0 25501000 2000

0

120

100

Dof 15286 REFERENCEDof 15286 CALCULATED