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DEA-MMV1 / D. BARBEAU 17/05/2017

ENDO : ENgine Design & Optimization for RENAULT with GT-SUITE

DEA-MMV1 / D. BARBEAU 17/05/2017

01 Introduction - Overview

02 Validation of models compared to

current references

03 Example of validation of models

compared to measurements

04 Practical examples of GT-SUITE

extended usages

05 Conclusion / On-going - Future

Sommaire

01Introduction / Overview

DEA-MMV1 / D. BARBEAU 17/05/2017 4

Simulation tools : current situation

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In House soft.

In House soft. (rigid + torsion)

In House soft. Com. Soft.

Com. Soft.

In-House soft.

Responsibilities :

Results exchanges

Full load speed fluctuations


ENDO Project

Responsibilities :

Potential couplings

ENDO : GTResults exchanges

Full load speed fluctuations

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ENDO models : expected models by perimeter

▌ Rigid Cranktrain bearing loads, MOFT, unbalanced forces and moments…

▌ Torsion frequency/time domain simplified crankline speed fluctuations (no FEAD, no DMF, no Clutch)

▌ Quasi-static : Cams laws, cams loads…

▌ Dynamic (potential) : valvetrain dynamics

▌ Torsion time domain DMF/Clutch friction NVH specification validation and gearbox reliability (filtration capacity)

▌ Pendulum DMF added to ENDO project scope

▌ Torsion + 2D Dynamic : speed fluctuations input : Belt tensions, hub loads… outputs

(various configurations possible)

▌ Torsion + 2D Dynamic : speed fluctuations input : chain or belt tensions, hub loads… outputs

(various configurations possible)


ENDO : what is expected ?

▌ Replacement of in-house tools (IH) and commercial softwares (CS) on the different perimeters by one unique software :

4 In-House softwares, 2 commercial softwares

▌ Extended possibilities : being able to model new technical definitions that were not possible in In-House tools : Flexibility

▌ Commercial software : easier training, possibility to find some experienced users and better maintenance

▌ Possibility of couplings between models and perimeters

▌ Possibility to perform some simple Design of Experiments (DOE) for Core Competencies teams on Unique Perimeter Model

and Coupled Models : integrated in the same Graphical Interface.

02Validation of models compared to current references


Front End Accessory Drive (FEAD) System:

Current status :

- Good confidence in results.

- Still work in progress on Filtering Pulley

associated to stretchy belt

- Measurements / Simulation comparison

on-going

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Timing Drive System : C

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eCurrent status :

- Good confidence in results.

- Comparison to tests results on-going


Cranktrain rigid / Bearings :

Current status :

- Rigid cranktrain : identical loads.

- Bearings results : good confidence in

MOFT results

- Internal benchmark created for MOFTGT-SUITE

In-House

X Axis : In-House

Y-Axis : GT-SUITE


Dual Mass Flywheel (DMF):

Current status :

- Identical results

- Mono/Multi slopes conventional DMF

validated


Valvetrain :

Current status :

- Quasi-static : identical results

- Tappet and finger-follower

configurations validated

- Currently working on complete

camshaft


ENDO Project models status

Responsibilities :

ENDO : GT

Full load « speed irregularities »

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Only models – No integration models – No optimisation models

03Example of validation of models compared to measurements


TVD speed fluctuations : Filtering pulley and Double TVD

Current status :

- Good confidence in results

(Double TVD modeling was not possible in In-House Software)

Filtering Pulley : Angular deviations comparison (Hub) Double TVD : Angular accelerations comparison (Hub)


DMF : Simulation vs Measurements

Current status :

- Good confidence in results

Dual slope technical definition

04Practical examples of GT-SUITE extended usages


Example 1 : Cranktrain torsion model : TVD DOE

DOE Inputs :

- TVD tuning frequency

- TVD ring inertia

7x7 levels

GT model :

- CRK torsion time domain

- Engine speed sweep (44

cases)

Outputs :

- RLTs values

- Maximum values of

specified RLTs on an engine

speed sweep

7x7xnb of outputs results

Post-Processing :

- Plot of colormaps : response

= f(frequency, inertia)

- Visual post-processing

Next steps :

- Perform optimization on

surface responses based on

those results.

- Take into account gradients

for robustness

*Same kind of DOE performed by suppliers

Example :

- 2156 cases

- 1 core : < 3h


Example 2 : Coupling between different models :

▌ Expectations : being able to perform couplings between different

models : examples :

DMF + Cranktrain + FEAD

Cranktrain + Timing Drive + Valvetrain

Etc…

▌ Currently in progress :

DMF + Cranktrain + FEAD

05Conclusion / On-going - Future


Conclusion

▌ Current status validation is 100% for all perimeters.

▌ Software used for complex projects currently under development with success.

▌ GT-SUITE: good tool for the targeted perimeters. User friendly enough for an Analysis engineer and a Core

Competencies Team member.

▌ 1D models but demanding a lot of technical datas coming from projects : need a good and specific

organization to summarize clearly the datas.

▌ Good work collaboration between Renault team and GT team.


On-Going / Future

▌ FEAD : handle the diversity of the various technical definitions to come.

▌ Integration models : capacity to simulate more « exotic » architectures.

▌ Roadmap associated to continual improvement/capacity extensions : more complex models and

comparison with measurements.

▌ Enhancements asked to GT-Team :

Several general options (outputs modifications, input management…) ;

1D CPVA modeling ;

DOE post-processing enhancements ;

Etc…


Thanks

endo : engine design & optimization for renault with gt … › wp-content › uploads › 2017...

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