Topics and Scope
General papers related to Aeronautical, Aerospace and Mechanical Engineering are also welcome. Suggested topics including are:
Theme 1: Advanced Manufacturing & Intelligent Robotics
Focuses on automation, smart manufacturing, green processes, robotics, and precision engineering, aligned with Industry 4.0.
- Smart manufacturing and industrial automation (including agile/virtual/lean manufacturing)
- Industrial robotics, multi-robot cooperation, and real-time kinematics
- Green manufacturing and additive manufacturing (rapid prototyping, 3D printing)
- Precision engineering and micro-machining
- Industrial tribology, reverse engineering, and surface engineering
- Automated inspection, quality control, and machine vision
Theme 2: Aerospace Engineering & Low-Altitude Economy
Integrates traditional aerospace with emerging low-altitude economy, emphasizing UAV systems, urban air mobility, and sustainable aviation.
- Aerodynamics, propulsion technologies, and aircraft design (fixed-wing/rotorcraft)
- Low-Altitude Economy: eVTOL, Urban Air Mobility (UAM), drone logistics
- UAV systems: navigation, formation control, collision avoidance, anti-UAV technologies
- Underwater UAVs and cross-domain vehicles
- Mission optimization, sustainable aerospace, and collision avoidance
- Drone photogrammetry and dynamic inversion control
Theme 3: Thermofluids Science & Clean Energy Systems
Covers fluid dynamics, heat and mass transfer, combustion, and renewable energy, focusing on low-carbon solutions and thermal management.
- Fluid dynamics, heat and mass transfer, and computational thermofluids (CFD)
- Clean combustion, hydrogen energy, and low-carbon fuel technologies
- Renewable energy (solar, wind, biomass) and energy storage systems
- High-efficiency refrigeration, heat pumps, and energy recovery
- Thermodynamic optimization and thermal management in energy systems
- Alternative energy and combined heat & power (CHP)
Theme 4: Digital Engineering & Intelligent Computing
Integrates computational mechanics, digital twin, AI, and industrial IoT to enable simulation, monitoring, and intelligent control of mechanical systems.
- Computational mechanics, finite element analysis (FEA), and multidisciplinary optimization
- Digital twin, virtual commissioning, and web‑based design/manufacturing
- Artificial intelligence / machine learning / expert systems in mechanical engineering
- Condition monitoring, fault diagnosis, and fault‑tolerant operation
- Sensor technology, embedded systems, and industrial IoT (IIoT)
- Cluster monitoring, vibration & noise analysis, and dynamic system control