Luca Quagliato Research Professor

Department of Mechanical & Biomedical Engineering

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Research Record
  • Gaussian process regression-driven deep drawing blank design method International Journal of Mechanical Sciences, 2024, v.265, 108898
    SCIE Scopus dColl.
  • On Improving Sheet Metal Formability in Hydrodynamic Deep Drawing Process through a Solid-Oil-Type Mineral Grease Pressure Medium Steel Research International, 2024, v.95 no.1, 2300324
    SCIE Scopus dColl.
  • Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications IEEE Access, 2023, v.11, 14436-14447
    SCIE Scopus dColl.
  • Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications Materials and Design, 2023, v.226, 111625
    SCIE Scopus dColl.
  • Manufacturing Process, Tensile-Compressive, and Impact Properties of Tungsten (W)-Particle-Reinforced SLA Methacrylate Polymers, 2023, v.15 no.24, 4728
    SCIE Scopus dColl.
  • Single and Multiple Gate Design Optimization Algorithm for Improving the Effectiveness of Fiber Reinforcement in the Thermoplastic Injection Molding Process Polymers, 2023, v.15 no.14, 3094
    SCIE Scopus dColl.
  • FEA Modeling of Soft Tissue Interaction for Active Needles With a Rotational Tip Joint IEEE ACCESS, 2022, v.10, 46291-46301
    SCIE Scopus dColl.
  • Geometry evolution prediction and process settings influence in profiled ring rolling International Journal of Advanced Manufacturing Technology, 2022, v.122 no.2, 799-819
    SCIE Scopus dColl.
  • A Buckling Instability Prediction Model for the Reliable Design of Sheet Metal Panels Based on an Artificial Intelligent Self-Learning Algorithm METALS, 2021, v.11 no.10, 1533
    SCIE Scopus dColl.
Courses
  • 2021-1st

    • Design of Machine Element

      • Subject No 38581Class No 01
      • 4Year ( 3Credit , 3Hour) Mon 2~2 , Thu 3~3
    • Computer-aided Analysis

      • Subject No 38591Class No 01
      • 3Year ( 3Credit , 3Hour) Wed 1~1 , Fri 1~1