FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding...

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© 2014 AGCO Corporation FEAD dynamics optimization with GT-suite GT user conference 17/05/2017 M. TOUSSAINT 0

Transcript of FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding...

Page 1: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

FEAD dynamics optimization with

GT-suite

GT user conference

17/05/2017

M. TOUSSAINT

0

Page 2: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Agenda

Intro – work objectives 1

Results analysis 3

Model building & correlating 2

Solutions evaluation 4

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Conclusions 5

Page 3: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

1- intro/ perimeter of study

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FEAD = Front End Auxiliary Drive

Belt system driving:

– Alternator(s) ≈7 kW

– Engine cooling Fan ≈ 30 kW

– Air compressor ≈5 kW

– A/C compressor ≈7 kW

Power capacity up to 50 kW

Lifetime requirement >1200h

Page 4: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

FEAD characterization on engine bench:

– @Low RPM:

• High dynamic tension amplitude

• Resonating behavior

Reduced belt lifetime

GT suite simulation objectives:

– Understanding of phenomena & dynamics

– Potential solutions finding

– Solution modeling & impact analysis on system

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1- intro/objectifs

Critical RPM zone

max

min

Page 5: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Agenda

Intro – work objectives 1

Results analysis 3

Model building & correlating 2

Solutions evaluation 4

4

Conclusions 5

Page 6: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation 5

2a- GT-Suite model map

Belt/pulley Friction

Accessory belt

Page 7: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Correlation check parameter: dynamic tension

Correlation OK « predictive » analysis possible

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2b –Model correlation check

Correlation

factor99.527%

Max. dynamic tension curves

Min. dynamic tension curves

Page 8: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Agenda

Intro – work objectives 1

Results analysis 3

Model building & correlating 2

Solutions evaluation 4

7

Conclusions 5

Page 9: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Study @ 950 RPM

Important engine acyclism + «phase shift» = High dynamic tension amplitude

– Engine (M) RPM + pulley (R) RPM ==> Dynamic tension

– Engine (M) RPM + pulley (R) RPM ==> Dynamic tension

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3 – Results analysis

Fan pulley

inst. RPM

Inst. Crankshaft RPM

X transmission ratio

Belt dynamic tension

Delta RPM max = 155RPM

R

M

Acyclism is due to alternative movement of engine internal parts Rotating speed is not continuous & regular

Nmoy=950RPM

Page 10: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Agenda

Intro – work objectives 1

Results analysis 3

Model building & correlating 2

Solutions evaluation 4

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Conclusions 5

Page 11: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

A. Change the inertia of receiving pulley:

– Change sensibility to RPM variation

B. Engine acyclism reduction:

‒ Less RPM variation & amplitude

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4- Solutions to simulate

Page 12: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Increase receiving pulley inertia:

– Less sensible to RPM variations

– Move the 1st mode of the system out of operating range

• 𝐹0 = 2𝜋𝑘

𝐼𝑧𝑧 k cst ==> Izz , F0

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4/a- Inertia change

Initial result Increased

inertia

Delta RPM max = 155RPM

Delta RPM max = 115RPM (-25%)

Initial result

-20%

Fan pulley inst. RPM

Inst. Crankshaft RPM

x transmission ratio

Increased inertia

Page 13: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Lower the FEAD system dynamics:

– Decrease RPM variation frequency & amplitude

– Filtering at the origin: decoupling between crankshaft & Belt system

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4/b- Engine acyclism reduction

Pulley Hub Pulley grooved outer

ring Crankshaft

Accessory

belt

Damping Element

(decoupling)

Initial result

With damping

-45%

Fan pulley inst. RPM Inst. Crankshaft RPM

x transmission ratio

Delta RPM max ≈ 0RPM (-100%)

Page 14: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Agenda

Intro – work objectives 1

Results analysis 3

Model building & correlating 2

Solutions evaluation 4

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Conclusions 5

Page 15: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Problem identification & understanding

Modeling & tuning of potential solutions

Quick & direct impact evaluation with GT-Post

Fast results (≈1h30 / calculation)

High flexibility

Gain:

– EARLY detection of potential reliability risks

– 90h of engine bench testing (estimation)

– 6 to 8 month of work (Proto. parts realization / bench test planning / results analysis / etc.)

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5- Conclusions

Page 16: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

FEAD layout choice/comparison

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Other GT use on FEAD systems

Page 17: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Cabin + A/C loop+ pipes + zoning + HVAC blower R. Hoarau

Under hood thermal environment & cooling package (COOL3D) A. Piette

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Other GT applications at AGCO

Page 18: FEAD dynamics optimization with GT-suite - Gamma ... suite simulation objectives: – Understanding of phenomena & dynamics – Potential solutions finding – Solution modeling &

© 2014 AGCO Corporation

Thank you for your kind attention!

Any questions?

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