RENAULT achieves complex collaborative part design through VdotTM within the CSDL project
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AUTOMOTIVE
simulation systems integration
RENAULT achieves complex
collaborative part design
through Vdot within TM
the CSDL project
CAD model of the engine
THE CHALLENGE
“This case showed that we Optimization of complex 3D parts such as a gas engine remains a challenge due
could successfully optimize to the difficulty to automate simulations with parameterized models. In addition,
iteration loops based on realistic performance simulation requires multidisciplinary calculations that are
difficult to coordinate in a production environment involving multiple special-
multidisciplinary criteria to
ized teams.
produce better engine design, Renault’s expectation in the CSDL project was to find new solutions to the above
with the help of Vdot TM (ESI’s challenges, to be applied early in vehicle development programs for maximum
lean process management impact on cost efficiency.
solution), Alternova (Renault’s
optimizer), and centralized
THE BENEFITS
computing services. Rolling out
. Optimization of the design loop with the flexibility of user-interactive steps in
this methodology will enable us
the process for better decision making and simulation guidance.
to reduce both time and design
. Effective orchestration of multidisciplinary simulation processes in a heteroge-
costs, while improving the neous software environment, enabling an efficient collaboration between the
performance of our engines.” Computer Aided Engineering teams while providing real-time progress status.
. Future integration in ESI solvers of a promising model order reduction method
Christian Fourcade,
Research Engineer, Renault developed by the Armines research lab, allowing the handling of many addi-
tional design parameters.
w w w. e s i - g ro u p . c o m
Casting THERMO-MECHANICAL
Residual Stresses
Thermal +CFD
Temperatures
Multidisciplinary simulation process
CSDL team: the optimization of the de- first question. The team deliberately
Introducing design sign of a gas engine to maximize its life- chose applications from several vendors
changes at the right time time. Renault selected this example so
to investigate the second.
that CSDL could evaluate the capacity of
The later a design change is made the
current systems to perform optimization
more expensive it is to implement and
campaigns of 3D parts that, although sim-
the less it is able to improve the design. Developing custom
plified, can remain quite complex.
To address this situation Renault wants to
increase the use of simulation in the early
workflows
phases of vehicle projects, when models Optimizing the design To orchestrate the design project of the
are still fairly simple. It is in fact the best
time to test (virtually) the product un-
with multidisciplinary gas engine, two workflows were modeled
der all its aspects (manufacturing, perfor- collaboration and then executed in VdotTM, ESI’s lean
mance in its operating conditions) in or- Because the engine simulation involves process management solution:
der to make the best design decisions as several analysis disciplines, Renault was
early as possible in the product life cycle. . An optimization process aimed at min-
particularly interested in the collabora-
Looking for solutions to the above chal- tive aspects of the workflow platform imizing the thermal gradient between
lenges, Renault participated in the sys- and the interoperability of the Computer the intake and exhaust valve bodies,
tematic cluster’s Complex Systems De- Aided Design and Computer Aided Engi- and thus at reducing the risk of fatigue
sign Lab (CSDL) project, an € 18 million neering applications. Specifically:
R&D project partly funded by the French fracture;
. How the activity of different special-
government, involving ESI and several . A multidisciplinary simulation process
ized teams was orchestrated to con-
other third-party software suppliers. The
sider all needed physics in the final to validate the resulting optimum de-
main goal of this project was to provide a
simulation results?
collaborative software environment sup- sign through a comprehensive analysis
porting multidisciplinary simulation pro- . Could the chosen discipline application
of the engine including its manufac-
cesses with a particular focus on optimi- be easily changed to an application
turing aspects.
zation techniques including engineers in from a different vendor?
the loop.
The multidisciplinary nature of the case
Renault supplied a relevant case to the allowed the CDSL team to answer the
w w w. e s i - g ro u p . c o mVdotTM defines and The second workflow (final validation)
demonstrated the capacity of VdotTM to
manages the information orchestrate a complex multi-physics de-
flow between team sign process, allowing independent tasks
members and third- to run in parallel (casting and CFD thermal
simulation) while downstream tasks (me-
party applications while
chanical simulation) were orchestrated to
executing process tasks in start as soon as the needed input data
automatic or interactive was available from the upstream tasks.
mode as needed. CAE engineers were notified at the right
time when their tasks were ready and
All the software was installed on a VdotTM ensured that they worked with
dedicated cluster and made accessible Internet
the right data in the right applications.
through Software As A Service (SAAS) As for the requirement on interoperabil-
technologies to the team members who ity, it was handled by decision tasks ena-
could work remotely from their desktop, bling the user to select the right branch
even on interactive applications. The of the workflow to execute the chosen Remote cluster
demonstrated benefits of this approach application. Last but not least, the team + Visualization Portal
was the centralized management of ap- tracked progress made on the project
Solvers and simulation workflows
plications that are installed on High Per- using management dashboards. These
formance Computing (HPC) hardware and dashboards were updated automatically
Thermal Casting Thermo
used remotely from light client machines by the workflow platform as batch and +CFD Mechanical
thanks to advanced visualization tech- interactive steps were ready, started, and
niques. finally completed.
In the optimization workflow developed
by ESI, VdotTM invoked third-party opti- A new model order Orchestration Workflow
mization tools as well as a CFD thermal/ reduction method Vdot (ESI Group)
mechanical simulation workflow.
In parallel, research work was carried out
Thanks to VdotTM’s platform and ap- by the Armines ParisTech lab on model
plication automation capabilities, the Geometry Service Optimization Tools
order reduction methods. It showed that,
definition of the new virtual tests, the assuming that the response of a structure Optimization
Engine
related simulations, and the creation of like a gas engine was a combination of Fiper + CATIA
the response models ran in batch mode. deformation modes, one simulation was Decision
Visualization
Renault’s teams could analyze the optimi- sufficient to estimate with good precision
zation results and make the decision to the response of the structure when the
continue or not at the end of each itera- parameters vary. This method will be im-
Architecture of the CSDL demonstrator
tion interactively. plemented in ESI codes in the near future.
To find out more about VdotTM and other ESI’s solutions, please visit : www.esi-group.com/products/simulation-systems-integration
ABOUT A “World class” French Cluster, Systematic brings together 480 key players in Paris area. Each of them working in the field of software-dominant systems with
SYSTEMATIC a strong social dimension. For further information, visit www.systematic-paris-region.org.
ABOUT Renault was created in France over 110 years ago and has been active on international markets ever since. It designs, develops, manufactures and sells a broad
range of vehicles through a network of 350 industrial and commercial sites in 118 countries. Its full range of electric vehicles accessible to all is the standard-
RENAULT bearer of its environmental commitment. Renault Group continues to pursue its strategy of profitable growth with brands Renault, Dacia and Renault
Samsung Motors. The Renault Group employs 128,000 people worldwide, reported net revenues of €42,628 million in 2011 and sold more than 2.7 million
vehicles in 2011. For further information, visit www.renault.com
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