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MOTOR

Inhaltsbereich / Content

Multi-ObjecTive design Optimization of fluid eneRgy machines

Project members: Prof. Dr. Bernd Simeon and Dipl. Math. Alexander Shamanskiy

Project web page: project-motor.eu

Project poster: [pdf]

Project newsletters:

Project partners:

  • Delft University of Technology (Netherlands)
  • Caterpillar (Sweden)
  • ESS Engineering Software Steyr GmbH (Austria)
  • Johannes Kepler University of Linz (Austria)
  • Maritime Research Institute Nederland (Netherlands)
  • Mavel (Czech Republic)
  • MTU Aero Engines AG, Munich (Germany)
  • University of West Bohemia (Czech Republic)
  • TU Dortmund University (Germany)
  • TU Kaiserslautern (Germany)
  • Von Karman Institute of Fluid Dynamics (Belgium)

Project duration: 3 years, Sept. 2015 - Sept. 2018

Project contents and goals

The MOTOR project focuses on ICT-enabled design optimization technologies for fluid energy machines
(FEMs) that transfer mechanical energy to and from the fluid, in particular for aircraft engines, ship pro-
pellers, water turbines, and screw machines. The performance of these machines essentially depends
on the shape of their geometry, which is described by functional free-form surfaces. Even small modifica-
tions have significant impact on the performance; hence the design process requires a very accurate
representation of the geometry.
Our vision is to link all computational tools involved in the chain of design, simulation and optimization to
the same representation of the geometry, thereby reducing the number of approximate conversion steps
between different representations. The improved accuracy and reliability of numerical simulations ena-
bles the design of more efficient FEMs by effective design optimization methods. MOTOR also exploits
the synergies between the design optimization technologies for the different types of FEMs that have so
far been developed independently.
MOTOR adopts a modular approach for developing novel methodologies and computational tools and
integrating them into real process chains, contributing

  • a volumetric mesh generator with exact interface matching for multi-domain geometries enabling a high-order multi-physics simulations with enhanced accuracy,
  • an isogeometric analysis simulation toolbox for CFD, CSM, and FSI problems and advanced interactive visualization toolkit for high-order solutions, and
  • automatic shape optimization based on a multi-level approach in the parameterization enabling different levels of shape variety to combine design space exploration with local searches.

The effectiveness of our approach in terms of reduced time to production and increased efficiency of the
optimally designed product will be validated by developing four proof-of-concept demonstrators with the
modernized process chains.