OUR RESEARCH

Engineering Materials

The engineering materials are used in the construction of manmade structures and components. An engineering material should be able to withstand the applied loading without permanent failure and/or without being excessively deformed. The most important types of engineering materials include: metals, polymers, ceramics and composites.

MTL is actively engaged in researching the following areas related to engineering materials:
  • Crashworthiness
  • Coatings
  • Development of novel materials
  • Smart materials

Machine Tools

The formal definition of a machine tool is "...a mechanical device, which is fixed and powered, typically used to process workpieces by selective removal/addition of material or mechanical deformation. Machine tools operation can be mechanical, controlled by humans or by computers...". Machine tools are fundamental in the modern manufacturing industry and often dictate the technological capabilities of any company.

MTL is actively engaged in researching the following areas related to machine tools:
  • Metrology of machine tools
  • 3D Printing
  • Path planning
  • Automation of composites manufacturing

Manufacturing Processes

A manufacturing process involves a series of steps that transforms raw-materials into finished parts or products.

MTL is actively engaged in researching the following areas related to manufacturing processes:
  • High precision processes
  • Powder based processes
  • Plasticity
  • Numerical simulation
  • Modeling and optimisation

Manufacturing Systems

A manufacturing system can be defined as a transformation of various inputs (materials, equipment, people, information etc.) to various outputs (tangible or non-tangible products) whose value depends on their functionality, quantity, quality etc. This transformation needs to be able to be performed efficiently using measureable indices and criteria.

MTL is actively engaged in researching the following areas related to manufacturing systems:
  • Process planning
  • Automated quality control
  • Control of manufacturing systems
  • Virtual and Augmented Reality
  • Human-Robot collaboration