Multidisciplinary Research Laboratory in Systems Engineering, Mechanics and Energy (PRISME)

The PRISME Laboratory is a laboratory of the University of Orléans and INSA-CVL.
The PRISME laboratory's remit is multidisciplinary within the general field of engineering sciences, spanning a broad spectrum of disciplinary areas including engine combustion, energetics, aerodynamics, fluid mechanics, signal and image processing, control engineering and robotics.
The laboratory is structured into scientific departments organised into thematic strands.

The Fluids, Energy, Combustion, Engines (FECP) department carries out research activities in the transport sector (automotive, aeronautics) and in the field of energy systems (combustion, energetic materials, high-temperature materials, etc.). Environmental impact is one of the shared objectives: this ranges, for example, from pollutant emissions caused by controlled or uncontrolled combustion (engine operation, explosion, etc.) to the reliability of structures (risk).
Departmental thematic strands:
•    Combustion and Explosions
•    Energy, Combustion and Engines
•    Aerodynamic Flows and Systems

The Images, Robotics, Control Engineering and Signal (IRAuS) department carries out research activities in the field of digital sciences, data science and robotics. The fields of application are numerous, as this scientific specialism can be involved in all aspects of engineering science.
Departmental thematic strands:
•    Control Engineering
•    Robotics
•    Image and Vision
•    Signal Processing

Research Topics:

Aerodynamic Flows and Systems:
Physical analysis, modelling and control of flows under extreme and interacting conditions. Prediction and improvement of aerodynamic performance.

Energy Combustion Engines
Development of "zero-carbon" fuels. New combustion modes: hydrogen, ammonia, e-fuel pathways. Alternative combustion modes. Optimal energy management of systems (conventional, hybrid and electric vehicles).

Combustion Explosion
Explosions, deflagrations, detonations. Fire hazards. Metrological approaches. Ignition of explosions in gaseous and solid phases. Understanding the mechanisms of explosions and their effects. Pyrolysis, permeation, combustion, fires and extinction.

Control Engineering
Observation and control. Software sensors: geometric and set-membership methods, non-asymptotic estimation. Dependable systems. Fault models. Diagnostics. Maintenance policies.

Image and Vision
Geometric vision. Multimodal image analysis. Visual recognition. Artificial intelligence.

Robotics
Mechatronic design and interaction. Multiscale approach. Micro-nano robotics. Teleoperation and co-manipulation.

Signal Processing
Analysis and evolutionary spectral modelling. Fast methods for multi-sensor, multimodal processing. High-dimensional learning.

Equipements and technology:

• Test sections, subsonic wind tunnels
• Engine test cells, optical or standard engines, dynamic test cell, high-temperature/high-pressure chambers
• Ignition rigs, gas detonation monitoring rigs, dust explosion rigs, pyrolysis furnace under supercritical conditions
• Numerous intrusive and non-intrusive measurement techniques (high-rate multichannel pressure sensors, aerodynamic balances, physico-chemical analysers, particle measurement, optical techniques (PIV, LDA, LIF, LII, tomography, IR, etc.)
• Multiple robotic platforms (mobile robots, cobots, serial and parallel robots, micro-nano-robots, digital twin).