Matteo Ripepi

Aeronautical Engineer

Busto Arsizio, Lombardy, Italy

About

My professional interests and activities include: - multi-fidelity and multidisciplinary analysis (MDA) and optimization (MDO), including aerodynamics, loads, structures, flight mechanics, and control systems, for aircraft and rotorcraft design; - development of equation-driven and data-driven low-dimensional methods and machine learning techniques applied to computational fluid dynamics and aeroelasticity.

Experience

  • Aircraft System Integration Specialist at Leonardo
    Apr 2023 - Present · 3 yrs 3 mos

    AWHERO Aircraft Loads Chief Project

  • Eldor Corporation (5 yrs 9 mos)
    • CAE engineer supervisor
      May 2018 - Mar 2023 · 4 yrs 11 mos

      ▪ Team leader of the CAE group of the electric & hybrid vehicles division ▪ Supervising the CFD/FEM simulations for the structural, fluid dynamics, thermal and acoustics analyses ▪ Supporting the product development and providing suggestions on system optimization

    • Senior FEA Engineer
      Jul 2017 - Mar 2023 · 5 yrs 9 mos

      ▪ Design and simulations of electric machines for hybrid and electric vehicles. ▪ Stress/strain, modal, fatigue, and crash analysis in support of the mechanical design. ▪ Thermo-fluid dynamics simulations for the engine air/water cooling system design. ▪ Aero- and vibro-acoustic simulations for the evaluation of the engine noise and vibration (N&V).

  • Research Engineer at DLR, Institute of Aerodynamics and Flow Technology, C²A²S²E Department
    Feb 2014 - Jun 2017 · 3 yrs 5 mos

    ▪ Reduced order modelling for aerodynamic applications, loads and multidisciplinary design optimization ▪ Reduced order modelling for unsteady aerodynamic and aeroelasticity ▪ Involved in the DLR projects DIGITAL-X and VicToria, aimed at developing a computer-based design tool for the virtual aircraft design and flight testing based on high-fidelity methods. ▪ Involved in the EU Horizon 2020 AEROGUST research project, aimed at developing improved simulation methods for gust loads prediction through the inclusion of nonlinear aerodynamics and structures. ▪ Involved in the DLR project MEPHISTO, aimed at developing methods and technologies for the development, design and assessment of highly manoeuvrable UCAV configurations. ▪ Involved in the German joint project AeroStruct, aimed at developing a multidisciplinary simulation environment for analysis and optimization of aircraft based on high-fidelity methods.

  • PhD candidate at Politecnico di Milano, Dipartimento di Scienze e Tecnologie Aerospaziali
    Jan 2011 - Mar 2014 · 3 yrs 3 mos

    ▪ Model order reduction and system identification for aerodynamic and aeroelastic systems. ▪ Advisor: Prof. Paolo Mantegazza

  • Visiting Researcher at Stanford University, Department of Aeronautics & Astronautics - Farhat Research Group
    Sep 2013 - Nov 2013 · 3 mos

    ▪ Parametric model reduction of aeroelastic systems subjected to limit cycle oscillations, using harmonic balance techniques and element-based hyper reduction. ▪ Stanford referent: Dr. David Amsallem