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research

The Computer Aided Design Research Group in the Department of Mechanical and Mechatronic Engineering researches and develops a number of aspects of computer aided design and offers related services to industry. The overall objectives of the research is to make mechanical designers more productive by using information technology, i.e. using computers and the internet to reduce the time required to produce designs for products with a lower life cycle cost.

Group Members
Areas of expertise
Objectives
Contact

group members

Prof Anton Basson
Dr Cornie Scheffer
Dr Kristiaan Schreve
Dr Corné Coetzee
Mr Danie Els

areas of expertise

  • Injection moulding, simulation and testing for non-conventional manufacturing processes for thermoplastic parts. Experimental investigations of processing parameters are also conducted.
  • Design for manufacturing analyses and manufacturing cost estimation for improving manufacturability.
  • Advice on best practice product and machine design procedures for more effective product quality and development time.
  • Develop customised CAM software for specific applications to reduce programming and machining time.
  • CAM cutter path generation for non-routine applications, typically on shapes that are difficult to handle in commercial CAD/CAM software.
  • CNC Milling (3 or 4 axis) and turning for non-routine applications.
  • 3D metrology, reverse engineering and rapid prototyping (in collaboration with the Global Competitiveness Centre).
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objectives

  • To optimise the lomolding process for thermoplastic parts: Lomolding is a novel process that overcomes some critical limitations in injection moulding. analysis and assessment with the associated measuring
    equipment and software tools to conduct research in seating dynamics and sound quality as well as to provide consulting services to industry to solve noise and vibration issues.
  • To develop advanced prototype lomolding machines: A lomolding machine is a classical mechatronic machine. The development is addressing the whole life cycle of the machine and integrates a wide spectrum of areas of expertise, including life cycle cost modelling, thermoplastic flow modelling and mechatronic machine optimisation.
  • To develop cost estimation models and software for application during early design phases: A software tool to aid designers in cost estimation and manufacturability assessment (CeDeas, for Cost estimation Design assistant) is being developed.
  • Communication support for distributed and co-located design teams: Low cost internet-based collaboration and documentation tools for design teams are being researched and developed. The first version of DiDeas (Distributed Design assistant) has been evaluated in academic and industry. It is being intensively redeveloped based on the inputs obtained in the evaluations.

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contact

Prof Anton Basson
Tel.: +27 (0)21 808 4250
Fax: +27 (0)21 808 4958
E-mail: ahb@sun.ac.za

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