Luca Quagliato 연구교수

휴먼기계바이오공학과

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연구실적
  • 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.
강의
  • 2021-1학기

    • 기계요소설계

      • 학수번호 38581분반 01
      • 4학년 ( 3학점 , 3시간) 월 2~2 , 목 3~3
    • 컴퓨터응용해석

      • 학수번호 38591분반 01
      • 3학년 ( 3학점 , 3시간) 수 1~1 , 금 1~1