Modelling and simulation

Dublin City University

The School of Mechanical and Manufacturing Engineering at Dublin City University was established in 1987. Since then the School has been offering undergraduate and postgraduate taught programs and postgraduate degrees by research, with academic staff also pursuing individual research.

Most of the School’s staff is a member of the University Designated Materials Processing Research Centre. Through industrial contacts and national and international research funds, the School has developed expertise in the following research areas:

  • Advanced Manufacturing processes
  • Condition Monitoring
  • AI in Manufacturing
  • Design for Manufacturing and Assembly
  • Materials Performance
  • Virtual Manufacturing
  • Manufacturing Systems and Processes Simulation

University of Patras

The Robotics Group, of the Mechanical Engineering and Aeronautics Department, University of Patras, exhibits a wide range of expertise in the development of innovative open-architecture robots, intelligent robot-systems control based on Neural Networks, Fuzzy Logic and Genetic Algorithms, as well as automatic generation of assembly strategies and intelligent control for manufacturing processes. Furthermore, knowledge-based methods for handling of non-rigid materials have been developed; and now the Robotics Group through a national project aims to the development of an intelligent system for robot handling of fabrics in separation, seam operation and quality control. This expertise can contribute to the next generation of flexible assembly automation and agile, clean and re-configurable manufacturing systems.

The Robotics Group has a considerable research experience in the theoretical foundation of mechanical and systematic mechatronic design and has developed design indices for the monitoring of the mechatronic approach during the design process. A CAD system for shoe design has been developed and efforts to incorporate qualitative knowledge into CAD systems as well as intelligence into Robot simulators are attempted. These research efforts are aimed to the next generation of intelligent CAD systems for designing devices - machines and intelligent robot simulators for performing knowledge-based design and optimisation for the virtual factory of the future.


University of Naples Federico II

The Dept. of Materials & Production Engineering (DIMP) of the Science and Technology Pole (STP) of the University of Naples Federico II specialises in innovative materials, advanced manufacturing and related information technologies. It supports a broad spectrum of basic, strategic and applied research, developing links with both large and small companies. DIMP has a very large number of industrial partners and collaborative projects with more than 15 countries in Europe. As a result, DIMP is now one of the largest and most successful Departments in any Italian university. DIMP has a research budget of about 6 MEuro. Within it, the Laboratory for Advanced Production Technology (LAPT), coordinated by Prof. R. Teti, is actively involved in multimedia, knowledge-based systems, HTML publishing, virtual reality research, product modelling information re-use, intelligent sensors development and application, image processing, non-destructive evaluation, reverse engineering, intelligent computation for manufacturing engineering, etc. DIMP has a strong team, comprising over 100 people, including post-doctoral/doctoral researchers and experienced design and manufacturing engineers complemented by marketing and administrative staff. At DIMP, faculty staff have been working for a long time in a number of areas vital to manufacturing and materials technology.

University of Hannover

The Institute of Production Engineering and Machine Tools (Institut für Fertigungstechnik und Werkzeugmaschinen, IFW) is one of the academic departments of the University of Hannover and among the well known research institutes of the Federal Republic of Germany in the field of production engineering. It has a strong reputation in the fields of production management and organisation, machining technology, machine tools, robotics and controls as well as technological information systems. Its activities are aimed at rationalise the manufacturing processes though a balance of fundamental and application oriented research works. The results of the institute’s efforts are accredited world-wide. The close co-operation of the institute with the industry accounts for the good insight of the problems and demands in production environments. Approximately 40 % of the yearly turnover of the IFW is achieved by means of projects which are directly financed by industrial partners, many of whom are SMEs. Beside these sort of projects and the basic research programs funded by the German Research Council (DFG), the IFW has been successfully involved in several European projects like Brite/Euram, Esprit and Copernicus. Related EU-funded projects are HIPARMS, EASYCON, BETTI, COCOS, TOPSYS, FLAMINGO, MAREA, EUROSHOE, AMADEUS, ECOWIRE and ENGY. The IFW employees around 65 research engineers, several technician, programmers, staff personnel as well as about 150 students working as part-time employees.

Fidia S.p.A

FIDIA is one of the European leaders in manufacturing Numerical Controls and High Speed Milling Machines for dies and moulds making. The company has also developed and offers CAM modules suitable in particular for on line generation of part programs (HIMILL).
FIDIA research activities are mainly focused on:
High speed milling and high accuracy roughing, semifinishing and superfinishing of free form surfaces; mechanics and structures for high speed and high accuracy and compensation of static and quasi-static errors; CAM and simulation systems, integrated NC systems, scanning and digitising; open and distributed NCs; monitoring of the milling process and sensor interfacing.
As a Machine Tool Builder, Fidia research expertise, relative to the design of milling machine tools, fits with the APM cluster. As a Numerical Control manufacturer it is relative to the realization of open and distributed NCs, able to interface sensors for monitoring and error compensation, and so it fits with the PAC cluster.