After completing the initial year, I4MS has hosted its first public international event on 18th June in Berlin, in cooperation with the launch of the German manufacturing programme, Autonomik für Industrie 4.0". I4MS has brought together more than 150 professionals from industry and innovation, who have attended to several presentations about what has been achieved by I4MS and further funding opportunities for SMEs and middle size corporates (mid-caps) under the Initiative.
The event signified the importance of SMEs in Europes manufacturing industry and their role in the reindustrialisation process for Europe. At a glance: SMEs are providers of around 45% of manufacturing added value and roughly 59% of employment in the manufacturing sector.
2. Outline
1. CloudFlow – CFD experiment
2. Industrial relevance
3. Improvement of Industrial Process
4. Cost Benefits
3. CloudFlow is a computing infrastructure enabling engineers to
1. The CloudFlow project
CFD experiment
Complex products require …
• development and simulation of mechanics, software and electronics
all together
• interactive simulation, simulation-in-the-loop and synchronized
workflows based on interoperability of data, services and workflows
CloudFlow is a computing infrastructure enabling engineers to
access services on the Cloud in domains such as
• CAD, CAM
• CAE (CFD),
• Systems and PLM
and to combines them to integrated workflows, leveraging HPC
resources.
It is largely based on open standard for data exchange and cloud
infrastructure
I4MS: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE
In this context, a CFD experiment is conducted that uses all the
ingredients of the CloudFlow platform.
4. Computational Fluid Dynamics (CFD) is playing an
essential role in the development of innovative products
in many sectors of the industry, such as automotive,
aeronautics, power generation, marine, architecture, ….
as a mean to analyze the flow behavior and optimize
HPC CFD on the Cloud addresses different ranges of
users:
• Large industries, who seek the opportunity to
intensify the use of virtual prototyping and CFD in
their design process, in an effort to reduce costly
2. Industrial relevance
CFD experiment
as a mean to analyze the flow behavior and optimize
important factors such as engine performance,
aerodynamics performance (car, airplane), power
generation efficiency , and much more.
CFD is a large player in the HPC landscape as it is largely
demanding in computing power. Offering access to
scalable computing facilities through the Cloud is the
aim of the experiment.
their design process, in an effort to reduce costly
wind tunnel tests
• SME who seek flexible solutions that allow them to
easily access CFD technologies at affordable costs,
without requiring large investment in hardware
facilities and maintenance.
I4MS: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE
5. Using CFD to the Cloud can lead to several
competitive advantages for companies who seek to
improve their design. By accessing scalable
computing power on demand, companies can
intensify the use of CFD during critical product
3. Improvement of industrial process
CFD experiment
It also allows for automated design optmization,
which allow to explore many design alternatives and
to find their optimum in an automated way, which
require many CFD computation to run.
intensify the use of CFD during critical product
conception phases involving peak loads, but also
run larger simulations, which allow to include more
geometrical details and physics (i.e advanced
turbulence modeling) into their simulations,
therefore allowing to get more accurate and reliable
results, needed in critical design decision phases,
that would not be possible with traditional
approaches.
I4MS: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE
6. Using CFD on the cloud can further offer significant
savings:
• Savings on hardware installation: CFD required
customized hardware facilities which are costly to
install and maintain, requiring high level system
Cloud solutions dramatically simplify the access and
evaluation process of CFD solutions, avoiding painful
installation and configuration of software, dedicated
hardware configurations and license management.
This results in a much better experience of non-
4. Costs Benefits
CFD experiment
install and maintain, requiring high level system
administration.
• Cloud solutions offer flexible licensing possibilities,
such as pay per use, which for SME, can represent large
cost saving, when occasional use is made of virtual
prototyping to validate a model design.
This results in a much better experience of non-
expert CFD users which therefore largely increases
the chances of software adoption by the SME
community.
I4MS: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE