Topics of Interest
The following thematic areas have been defined within the scope of COBEM 2019. While submitting their abstracts, authors must ascribe the area which best matches the content of their papers.
Aerospace Engineering
- Aerodynamics
- Aerospace Structures
- Control Systems and Aeroelasticity
- Flight Dynamics
- Propulsion
Bioengineering
- Assistive Technologies
- Biofluids Dynamics e Bioheat Transfer
- Biomaterials and Biotribology
- Biomechanics
- Biorobotics and Artificial Intelligence
- Implants, Orthoses and Prostheses
Combustion and Environmental Engineering
- Detonations, Explosions, and Supersonic Combustion
- Diagnostics
- Fire Research
- Gas Turbine and Rocket Engine Combustion
- Gas-Phase Reaction Kinetics
- Internal Combustion Engines
- Laminar Flames
- Other Concepts
- Solid Fuel Combustion
- Soot, Nanomaterials, and Large Molecules
- Spray, Droplet, and Supercritical Combustion
- Stationary Combustion Systems and Control of Greenhouse Gas Emissions
- Turbulent Flames
Dynamics, Control, Vibrations and Acoustics
- Acoustics and Vibroacoustics
- Control of Mechanical and Robotic Systems
- Multibody Systems
- Nonlinear Dynamics
- Robotics and Mechatronic Systems
- Rotordynamics
- Smart Structures
- Structural Dynamics
- Vehicle Dynamics
Education Symposium (ENACEM)
Energy and Thermal Sciences
- Applied Heat and Mass Transfer
- Computational Intelligence Applied to Thermal Systems
- Heat and Mass Transfer Fundamentals
- Numerical Heat Transfer
- Renewable Energy
- Thermodynamics and Thermal Systems
- Thermo-Economic Analysis and Energy Policy
Fluid Mechanics and Rheology
- Computational Fluid Dynamics
- Flow Induced Vibration
- Industrial Applications and Turbomachinery
- Instrumentation and Experiments
- Multiphase Flow
- Rheology and Non-Newtonian Fluid Mechanics
- Theoretical and Analytical Modeling
Fracture, Fatigue, and Structural Integrity
Heating, Ventilation, Air-Conditioning and Refrigeration
Materials and Manufacturing Engineering
- Additive Manufacture
- Materials Characterization and Processing
- Metallurgical Processes
- Processes with Material Removal
- Project and Management
- Tribology
- Union and Assembly Processes
Mechatronics and Automation
- Artificial Intelligent Applications
- Computer Vision
- Control Systems
- Fluid Power Systems
- Industrial Informatics, Discrete and Hybrid Systems
- Metrology
- Robotics, Sensors & Actuators
Nano and Microfluidic and Micro-Systems
- Heat and Mass Transfer in Micro and Nano scales
- Micro and Nanofabrication
- Micro and Nanofluidics
Nonlinear Phenomena
- Analytical and Numerical Methods in Nonlinear Phenomena
- Applications of Nonlinear Systems in Engineering
- Bifurcation Analysis in Nonlinear Systems
- Chaos and its Applications
- Complex Systems in Engineering
- Dynamic of Collective Behavior
- Experimental Methods in Nonlinear Phenomena
- Identification of Nonlinear Systems
- Inverse Problems in Nonlinear Phenomena
- Multi-scale Phenomena in Engineering
- Nonlinear Control
- Nonlinear Mechanics
- Stochastic Methods for Nonlinear Systems
- Synchronization and Complex Networks
Nuclear Engineering
Offshore and Petroleum Engineering
Piping and Pressure Vessels
Product Engineering
Smart Materials and Structures
- Active and Passive Structures
- Bioinspired Systems
- Constitutive Modeling
- Energy Harvesting
- Magnetic Materials
- Nonlinear Dynamics of Smart Systems
- Piezoelectric Materials
- Sensors and Actuators
- Shape Memory Alloys
- Smart Systems
- Structural Health Monitoring
Solid Mechanics
- Composite Materials and Structures
- Constitutive Models
- Elasticity, Plasticity, Damage and Fracture Mechanics: Models, Experiments and -Applications
- Failure Criteria
- Fatigue and Failure Analyses
- Impact Engineering
- Nonlinear Analyses: Buckling, Post-Buckling and Contact Analyses
- Numerical Methods: FEM, XFEM, GFEM, BEM and other methods
- Optimization of Materials, Fluids and Structures
- Structural Reliability Methods and Reliability-Based Design Optimization
- Structural Statics
- Viscoelasticity and Viscoplasticity: Models, Experiments and Applications
- Wave Propagation
Uncertainty Quantification And Stochastic Modeling
