Industry 4.0 for the manufacturing sector

Bullet Advanced monitoring and instrumentation systems, using techniques based on electromagnetic signals, ultrasound, microwave and optical sensors.

Design of ad hoc measurement principles and implementation of measurement instruments:

  • Non-destructive inspection and characterization techniques based on contact-based electromagnetic measures that are sensitive to the microstructure and mechanical properties of components made of steel, which enables quality control for products or production processes. Examples of application include: characterizing the surface hardness and depth of the hardened layer in surface treatments of eg spindles, gears, camshafts, crankshafts; analyzing residual stresses, characterizing and detecting grinding burns, analyzing the degradation of operating components such as steel cables, rails.

  • Measurement and characterization techniques that use ultrasound to measure physical parameters and alterations in materials (corrosion, etc.).

  • Non-destructive and remote inspection and characterization techniques (without contact with the material) using RF waves and microwaves (frequencies from a few Hz to 110 GHz). These techniques make it possible to analyze properties of non-conductive materials, as their dielectric constant, as well as characteristics and surface defects of conductive materials. It is also possible to detect the humidity level in materials such as earth or concrete.

  • Optical techniques (using cameras and/or lasers) to perform inspections with a high degree of precision (on the order of a few microns) in both static and dynamic environments. Inspections related to metrology (dimensional control) and defectology (surface quality) are included. The objective is to improve the productivity of the process ensuring zero defects in parts and reducing costs. Achieving these levels of precision in static environments is inherently complex, and achieving these same levels in dynamic environments, such as the inspection of moving objects (e.g. on a conveyor belt), brings further differentiation.

Integration of measurement technologies into comprehensive local and remote monitoring solutions, ranging from hardware development for sensors, (wireless) communications to application software. 

Bullet Indoor positioning systems  

Ceit uses its expertise to develop indoor and outdoor location systems (which are used to locate goods, vehicles and people in the industrial sector and in rescue operations) in accordance with each client's requirements. We work on the following:

  • GNSS positioning and increased signal integration (EGNOS/EDAS)

  • Development and integration of new distance- and range-estimation sensors (UWB, IMUs, etc.)

  • Data fusion algorithms

  • Integrity algorithms (fault detection)

The platform that Ceit has developed has direct application to various areas, including Industry 4.0 applications, intelligent transport systems and people-tracking devices. Ceit is expert in various location technologies, allowing it to undertake projects that develop advanced location systems for various sectors for both indoor and outdoor environments.

Bullet Cognitive robotics: virtual and augmented reality and collaborative robotics

We develop the technologies needed to create a work environment where human and robot operators work collaboratively. Robots need advanced spatial reasoning and perception capabilities to be able to perform tasks that require greater flexibility and skill than the tasks they are currently able perform in industry (namely tasks for which all actions are pre-programmed and the robot has little ability to adapt its movements to new situations). Greater flexibility in robots allows them to execute new tasks and be integrated in environments that were previously forbidden to them, such as applications in which human and robotic operators share tasks at the same time, each applying their best capabilities. Technologies such as virtual reality (i.e. using digital twin to simulate different robot-human scenarios) and augmented reality (i.e. object tracking, 3D reconstruction from SLAM) are technologies that are making most of advanced robotics applications possible. In addition, augmented reality entails a natural communication interface between operator and robot.

 

Bullet Multidisciplinary platform for smart manufacturing and monitoring materials

Multidisciplinary platform for smart manufacturing

The platform allows Ceit to:

  • Model materials and processes

  • Monitor material via NDT-electromagnetic techniques and correlating signals with the material's state

  • Apply ICT to the monitoring of materials

  • Use data processing and management to control and optimize processes

  • Develop integrated solutions tailored for Industry 4.0.

 

Ceit's activity centers on:

  • Thermo-mechanical process simulation: industrial processes are simulated with lab equipment, optimized sequences are defined and the limitations of the material are analyzed.

  • Metallurgical material models: metallurgical models that predict the evolution of the material throughout the entire hot working or thermal treatment process and the final material's mechanical properties

  • Material monitoring: analysis and interpretation of monitoring signals (sensor systems) based on metallurgical knowledge; product quality control.

  • Hybrid material and process models, which combine metallurgical models with data from heterogeneous sources (industrial practice, sensors, mechanical testing, etc) in order to optimize the process's robustness and achieve more consistent properties. These models can be used on-line to improve process control.

  • Industrial applications for producing and transforming steel: hot working; conventional and induction thermal treatments; monitoring of operating behavior and remaining life.