Manufacturing Systems (advanced)

MS comprise, in general:

• computer-controlled machine tools
• robotic material handling and processing systems
• information systems and software with varying degrees of intelligence
• the human factor, suitably integrated.

Study of AMS entails analysis, simulation, design, implementation, controlling and monitoring them as well as individual constituents in combination to the pertinent manufacturing processes to the extent that this serves the creation of a system.

Aim

Automating selection of process stages, equipment and process conditions using intelligent systems (knowledge bases, neural networks and genetic algorithms) for cutting, casting and sheet forming processes.

Indicative tools

Knowledge-based and expert systems
Matlab (with Neural Toolbox and Genetic Algorithm Toolbox).
Optimisation tools- ΑΙ e.g. SA, GA, PSO, etc.
Casting simulation software.
Generic simulation software (Ansys, Solidworks Simulation, COMSOL)

Aim

Analysing and simulating manufacturing systems (mainly cells) from a specific viewpoint, e.g. flexibility, tool rationalisation, schedulin, and embedding intelligence in system analysis.

Indicative tools

VR systems (software Virtools/Unity, HMD, gloves, trackers: flock of birds/Kinect, immersion screens).
Discrete event simulation software (Promodel)
System analysis software.
Neural networks simulation tools.

Aim

Studying machine tools from the viewpoint of process adaptive control, reconfigurability, intelligence and product accuracy, viz. error compensation.

Indicative tools

Finite element analysis software (Solidworks Simulation, ANSYS)
Kinematics / dynamics simulation software (Solidworks Motion, CATIA)
Matlab.
Αutocollimators, digital levels.
PLC Siemens S7
CNC control card Delta Tau
High power laser σοθρψεσ (Laser Ecosse CO2, Yt - YLIA Μ20)
Laser doppler interefrometer Optodyne.
3D white laight scanner  IScan
Photogrammetry system Imetrics

Aim

Integrating software and hardware towards complete sub-systems supporting manufacturing processes.

Indicative tools

Programming languages.
Displacement, vibration, piezoelectric force and acceleration sensors.
Labview software.
Data acquisition cards and Labview
Cameras.
Machine vision software OpenCV.

Aim

Facilitating Robot and CNC programming by incorporating in the process empirical and analytical knowledge.

Indicative tools

Robot arms  (staubli RX90 και Mitsubishi RΜ501)
Machining and Turning centres (Okuma, HAAS, EMCO).
CAM software (Solidcam, Powermill, CATIA)
CAD software (Solidworks, Inventor, CATIA)