Review of Research and Educational Activity - PRACE materials

 
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Review of Research and Educational Activity - PRACE materials
Review of Research and Educational Activity

                   F. Piscaglia, A. Montorfano
          Dipartimento di Energia, P OLITECNICO   DI   MILANO

   S ECTION : Macchine e Sistemi per l’Energia e l’Ambiente (09/C1)
            G ROUP : Internal Combustion Engines Group
Review of Research and Educational Activity - PRACE materials
Politecnico di Milano

   Some information:

       Politecnico di Milano is a public technical university
       About 40.000 students in 2009/2010 (25.000 students in Engineering, 15.000 students in the
       Faculty of Architectural Design)
       300 new PhD students per year
       In 2008 Politecnico has 1.140 faculty members (400 full professors, 390 associate professors
       and 350 lecturers) and 870 administrative and technical employes
       Students graduated in Engineering at Politecnico represent about 12,7% of the Italian Engi-
       neers

2/20             Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
Department of Energy

   The Department of Energy is a structure of professors and researchers previously belonging to
   four previous departments of Politecnico di Milano:

        - Department of Energetics
        - Department of Nuclear Engineering
        - Department of Electrical Engineering
        - Chemistry, Materials and Chemical Engineering

       The decision to coordinate the activities of 16 research groups into a single structure allows to
       provide, through an interdisciplinary approach, convenient solutions to the complex problems
       of the energy sector, now experiencing large importance and strong strategic relevance.
       Thanks to this initiative, Politecnico di Milano acquires a structure with few analogies in the
       European context. With this potential, the Department of Energy aims to get an influent and
       independent role in public issues concerning the high-tech and energy fields.

3/20             Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
The research group: ICE PoliMi
   The ICE Group was established in 1993 by Prof. Giancarlo Ferrari and Prof. Angelo Ono-
   rati. The purpose of the research unit is to perform both fundamental studies, to improve the
   understanding of physical and chemical processes occurring in the internal combustion engines,
   and applied research, to provide computational tools which can help the engine design.

                                                                             Faculty Staff   Post-Doc Researchers
                                                         Giancarlo Ferrari, Full Professor             Tarcisio Cerri
                                                          Angelo Onorati, Full Professor          Andrea Montorfano
                                             Gianluca D’Errico, Associate Professor               Temporary Staff
                                          Gianluca Montenegro, Assistant Professor
                                             Federico Piscaglia, Assistant Professor                   Marco Fiocco
                                            Tommaso Lucchini, Assistant Professor
                                                                                                   Ph.D. Students
                                                                                                  Augusto Della Torre
                                                                                                       Luca Cornolti
                                                                                                     Riccardo Torelli
                                                                                                   M.Sc Students
                                                                                                      15-20 per year

4/20            Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
Research Activity
   Fundamental research involves the development of models for:

       - in-cylinder flows

       - Acoustics and silencers

       - LES turbulence modeling

       - Reacting flows and after-treatment devices

   Models and solvers for the finite volume solution of complex flow problems are implemented in:

       - GASDYN, an in-house 1D fluid dynamic code

       - Lib-ICE, an in-house C++ object oriented library developed in the OpenFOAM® technology
         for the multidimensional simulation of Internal Combustion Engines

5/20               Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
Research activity in the international context: GASDYN

       Currently the 1D thermo-fluid dynamic simulation of I.C. engines worldwide is mainly carried
       out by three commercial tools: GT-POWER (Gamma Tech.), WAVE (Ricardo), BOOST (Avl)
       and research tools: GASDYN (ICE PoliMi), that is considered worldwide an advanced re-
       search tool available for specific engine simulations.

       The GASDYN code is well known in the international context among universities and automo-
       tive industries. Professors of the ICE Group lead the development of the GASDYN code, in
       which innovative models for I.C.E. simulation are included.

       Collaborations for the application of GASDYN are active with many national and international
       Companies.

6/20              Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
Research activity in the international context: OpenFOAM®
   Currently the CFD engine modeling is mainly carried out by three commercial code: STAR-CD,
   FLUENT, FIRE and one research tool: KIVA-3V, whose main contributor is the Engine Research
   Center (ERC) of University of Wisconsin.

       OpenFOAM® is an open source, freely available CFD Toolbox, licensed under the GNU Gen-
       eral Public License, written in highly efficient C++ object-oriented programming. Currently it is
       the most advanced research CFD code. It can simulate almost any problem in computational
       continuum mechanics.
       The ICE group at PoliMi is working to the development of the LibICE library in the OpenFOAM®
       technology for internal combustion engine simulation. OpenFOAM® is encountering an
       increasing interest from the academic and industrial I.C. engine community.

7/20              Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
Research activity in the international context: OpenFOAM®
   OpenFOAM® is an open source, freely available CFD Toolbox, licensed under the GNU Gen-
   eral Public Licence, written in highly efficient C++ object-oriented programming. OpenFOAM®
   makes use of the finite volume approach to solve systems of partial differential equations as-
   cribed on any 3D unstructured mesh of polyhedral cells. Domain decomposition paral-
   lelism is integrated at a low level so that the implementation of parallel solvers can be per-
   formed without the need for any “parallel-specific” coding.

       Objective: open source implementation of existing knowledge and an object-oriented plat-
       form for easy and collaborative future development
          - Completely open software platform using object-oriented design
          - Extensive modelling capabilities in library form: component re-use
          - Collaborative and project-driven model development

       This furthers the research and collaboration by removing proprietary software issues: source
       code and algorithmic details available to all

8/20             Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
The LibICE® project: an overview

   LibICE® is a set of libraries and solvers for Internal Combustion Engines simulation developed
   using the OpenFOAM® technology:

       Class: user defined type representing one part of the problem to solve (mesh, matrix, field,
       ...)
       Library: definition and implementation of related classes and functions (finite volume library,
       turbulence model library, mesh tools library..)
       Applications: collection of object of different classes interacting each others

9/20            Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Review of Research and Educational Activity - PRACE materials
The LibICE® project: an overview

10/20     Federico Piscaglia, Dip. di Energia, Politecnico di Milano
1D/3D coupling (GT-Power® /OpenFOAM®)

                                                                       Results: G. Montenegro, ICE-PoliMi group

11/20     Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Mesh management
 - Multiple meshes cover the entire sim-
   ulation (each mesh is valid for a cer-
   tain crank angle interval)
 - Mesh to mesh interpolation automat-
   ically performed
 - Grid points moved by means of an
   automatic mesh motion solver

  - Possibility to combine automatic mesh motion and topological changes.

                                                                             Results: T. Lucchini, G. D’Errico, ICE-PoliMi group

12/20           Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Spray, combustion and wall film modeling

                                                                       - Iso-surfaces of fuel mass fractions to
                                                                         understand how fuel/air mixture formation
                                                                         takes place

                                                                       - The fuel vapor mainly comes from wall film

                                                                       - Predicted results are coherent with the high
                                                                         measured HC emissions of this engine

                                                                       - Wall film model used also for the simulation of
                                                                         the spray produced by a GDI six-hole injector
                                                                         into a constant volume vessel with optical
                                                                         access

                                                                                      Results: T. Lucchini, G. D’Errico, ICE-PoliMi group

13/20     Federico Piscaglia, Dip. di Energia, Politecnico di Milano
After-treatment modeling

                                                              - Automatic mesh generation
                                                              - Geometry detection and automatic case setup
                                                              - New implicit porous solver
                                                                       - Based on an implicit staggered solver
                                                                       - Porous walls friction model
                                                                       - Blending mechanism blends laminar
                                                                         turbulent models with RAS (k-ω-SST)
                                                                         turbulence model
                                                              - Soot transport model
                                                              - Soot filtration an deposition model

14/20     Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Acoustics
                                                                                                                                                           60

                                                                                                                                                           50

                                                                                                                                  Transmission loss [dB]
                                                                                                                                                           40

                                                                                                                                                           30

                                                                                                                                                           20

                                                                                                                                                           10

                                                                                                                                                            0
                                                                                                                                                                0    250        500           750          1000         1250                   1500
                                                                                                                                                                                      Frequency [Hz]

   To properly predict the TL of a silencers, typical developments of the simulation code include:
                    - an inlet b.c. to model different large-band acoustic sources is needed
                    - an anechoic b.c. to model the terminal
                    - algorithms for data post-processing (i.e. two-sensor method) for the evaluation of the TL

   S INGLE                      SINUSOID                                                     P ULSE                                                             W HITE      NOISE                                                              F REQUENCY                 SWEEP
                     101.4                                                          101.8                                                                   101.4                                                                     101.4

                    101.38                                                          101.6                                                                                                                                            101.38
                                                                                                                                                           101.35
                                                                                    101.4
                    101.36                                                                                                                                                                                                           101.36
   Pressure [kPa]

                                                                   Pressure [kPa]

                                                                                                                                  Pressure [kPa]

                                                                                                                                                                                                                    Pressure [kPa]
                                                                                    101.2                                                                   101.3
                    101.34                                                                                                                                                                                                           101.34
                                                                                     102
                    101.32                                                                                                                                                                                                           101.32
                                                                                    101.8                                                                  101.25

                     101.3                                                                                                                                                                                                            101.3
                                                                                    101.6
                                                                                                                                                            101.2
                    101.28                                                          101.4                                                                                                                                            101.28

                    101.26                                                          101.2                                                                  101.15                                                                    101.26
                          0   0.02   0.04      0.06   0.08   0.1                         0   0.02   0.04      0.06   0.08   0.1                                  0   0.02    0.04      0.06         0.08      0.1                          0      0.02   0.04      0.06   0.08   0.1
                                        time [s]                                                       time [s]                                                                 time [s]                                                                    time [s]

15/20                                          Federico Piscaglia, Dip. di Energia, Politecnico di Milano
LES turbulence modeling

   LES simulation of compressible flows in OpenFOAM®:
        Development of a synthetic turbulence inlet b.c.
        Development of SGS models: Local Dynamic Smagorinsky, WALE
        Validation test: in-cylinder cold flow engine simulation (static mesh)
        Implementation of a NSCBC-based Subsonic Non-Reflecting Outflow b.c.

16/20             Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Computing resources - LES4ICE ISCRA project
    - Simulations ran on a PLX cluster of CINECA, within the LES4ICE project
    - The LES4ICE project (principal investigators: F. Piscaglia, A. Montorfano) has been se-
      lected among 136 submitted research proposals by the Italian SuperComputing Resource
      Allocation (ISCRA).
    - The goal of the project is to apply LES to simulate ICE by OpenFOAM®

   Computing resources (PLX cluster @ CINECA):
    - 276 nodes
    - RAM: 48 GByte/node DDR3 1333MHz
    - 3312 cores (Xeon E5645 2.40GHz 12MB Cache 1333 MHz 80W)
    - 528 GPU nVIDIA Tesla M2050
    - 2 Remote Visualization Nodes (RVN)

17/20          Federico Piscaglia, Dip. di Energia, Politecnico di Milano
European Projects
                                        The goal of the project is to apply Large-Eddy Simulation (LES)
   LESSCCV
                                        combined with system simulation to predict cyclic combustion
   (European Project)
                                        variability in gasoline engines. Partners involved in the project
   2009-2012
                                        are Politecnico di Milano, IFP (Institut Francais du Petrole), Ricardo
                                        UK Limited, AVL List GmbH, LMS-Imagine, Ceske Vysoke Uceni
                                        Technicke v Praze, FEV Motorentechchnik GmbH and University of
                                        Western Macedonia.
   SIMBA
                                        Implementation of improved techniques for simulation and test-
   (French Nat. Project)
                                        ing of advanced turbocharged downsized diesel engines. The
   2007-2011
                                        project was approved on July 2007 in the framework of the French
                                        “Pole Vehicule du Futur" program. Partners involved in the project
                                        are Politecnico di Milano, MarkIV, Faurecia, Honeywell, Femto, IFP,
                                        LMS-Imagine.

   Industrial Partnerships
    National                            MV Agusta, , Magneti Marelli, Eni-Technologies, Piaggio, Aprilia,
                                        Seatek, CINECA, AMSA
    International                       Bmw, Nissan, Caterpillar, Husqvarna, AVL, Faurecia, Liebherr,
                                        LMS Int, MarkIV, Ifp
   Research projects of the ICE PoliMi group are mainly funded (80%) by private Companies.
   Funds are used to hire young scientists, post-doc researchers and to increase the computational
   resources.
18/20           Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Thank you for your attention!

19/20   Federico Piscaglia, Dip. di Energia, Politecnico di Milano
Federico Piscaglia, Ph.D.
        Assistant Professor of Internal Combustion Engines

        CONTACT INFORMATION
          Address        Dipartimento di Energia, Politecnico di Milano
                         via Lambruschini 4, 20156 Milano (ITALY)

          E-Mail:        federico.piscaglia@polimi.it
          Phone:         (+39) 02 2399 8620
          Fax:           (+39) 02 2399 3863
          Web page:      http://www.engines.polimi.it/

20/20                 Federico Piscaglia, Dip. di Energia, Politecnico di Milano
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