| Ref.No: | 61518800 |
| Start date: | 17.03.2025 |
| End date: | 16.03.2029 |
| Approval date: | 12.03.2025 |
| Department: | MECHANICAL ENGINEERING |
| Sector: | MECHANICAL DESIGN & AUTOMATIC CONTROL |
| Financier: | 3Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ ΓΙΑ ΜΕΛΗ ΔΕΠ&ΕΡΕΥΝΗΤΕΣ, ELIDEK |
| Budget: | 272.536,00 € |
| Public key: | 6Η0Ζ46ΨΖΣ4-Δ0Ξ |
| Scientific Responsible: | Assist. Prof. ATHANASIOS HASALEURIS |
| Email: | chasalevris@mail.ntua.gr |
| Description: | CRITICAL MECHANICAL COMPONENTS IN ROTATING MACHINES IN POWER CONVERSION (GENERATION) AND MANUFACTURING ARE IDENTIFIED TO BE CONVERTED IN CYBER-PHYSICAL (SMART) MECHANICAL COMPONENTS IN THIS PROJECT. THE FOCUS IS TO ANALYZE, DESIGN, CONSTRUCT AND EXPERIMENTALLY TEST A) TWO BEARING ELEMENTS WITH ADAPTABLE GEOMETRY AND PROPERTIES (OIL AND GAS LUBRICATED) IN A SCALED POWER GENERATION SHAFT-TRAIN AND A HYPERSPEED TEST-RIG, B) A SELF-BALANCING DEVICE EMBEDDED IN THE ROTOR, C) AN ADAPTIVE SEALING, AND D) A MAGNETICALLY SUPPORTED CUTTING TOOL FOR MILLING AND TURNING; THE FIRST THREE WILL SUBSTITUTE THE CONVENTIONAL DESIGNS IN MEDIUM AND HIGH-SPEED TURBOMACHINERY (INCLUDING MICROTURBINES AND DRONE JET ENGINES), AND THE LAST WILL BE INCLUDED IN THE WORK PROCESS FOR INTELLIGENT MANUFACTURING IN MILLING AND TURNING PROCESSES. SENSORS, MICROCOMPUTERS, AND ACTUATORS ARE EMBEDDED TO THE MECHANICAL COMPONENTS TO CONVERT THEM TO DIGITALIZED MACHINE ELEMENTS ABLE TO APPLY CORRECTIVE ACTIONS IN THE MACHINE IN ORDER TO ESTABLISH STABILITY, OPTIMIZE OPERABILITY AND POWER LOSS, AND OFFER NEW MARGINS OF DESIGN, OPERATING SPEEDS (ULTRA-HIGH SPEEDS) AND EFFICIENCY IN THE WIDE SPECTRUM OF ROTATING MACHINES APPLICATIONS. PHYSICAL AND ANALYTICAL MODELS ARE FIRST DEVELOPED FOR THE NOVEL ELEMENTS THROUGH A MULTI-PHYSICAL APPROACH COUPLING ROTOR DYNAMICS, FLUID MECHANICS, MECHATRONICS AND NONLINEAR DYNAMICS. THE COMPLEX ANALYTICAL MODELS ARE THEN USED TO TRAIN ARTIFICIAL NEURAL NETWORKS (ANNS) WHICH ENABLE A MULTI-OBJECTIVE OPTIMIZATION SCHEME EMBEDDED IN A MODEL PREDICTIVE CONTROL (MPC), SIMILAR FOR ALL ELEMENTS, AND ESTABLISH IN THIS WAY A NEURO-FUZZY MPC PATTERN. IN THIS MANNER, ARTIFICIAL INTELLIGENCE IS EMBEDDED IN THE MECHANICAL COMPONENTS AND THE ROTATING SYSTEMS. ONLINE SYSTEM IDENTIFICATION IS PERFORMED UTILIZING SUBSPACE SYSTEM IDENTIFICATION AND THE ACQUIRED DATA ARE USED TO CALIBRATE THE SURROGATE MODELS. EXPERIMENTAL VALIDATION IS INCLUDED IN THIS PROJECT FOR THE NOVEL CYBER-PHYSICAL MECHANICAL COMPONENTS IN WHICH COMPUTATIONAL CAPACITY IS EMBEDDED THROUGH MICROCOMPUTERS. THE PROJECT AIMS TO FOSTER A NEW GENERATION OF MACHINE ELEMENTS. |
