The Cutting Technology research group focuses on the transition of new metal cutting research innovation to application. This typically involves strategy driven cutting tool assessment and parameter optimisation testing, or the development of novel cutting strategies aligned to application challenges.

By taking a benchmarking approach, trends in technology progression and the potential for an emerging technology to influence manufacturing cost and productivity can be quantified.

The team itself comprises experienced application engineers and engineers with an academic interest, providing a unique insight.

Research Strands:

  • Feature-based cutting strategy development: the application of metal cutting principles and simulation tools to aid milling, drilling and turning strategy development.
  • Cutting tool assessment & parameter optimisation: applying statistical methods driven by process cost or productivity, typically focused around a specific cutting strategy.
  • CAM assessment to drive strategy uptake: utilisation of both industry leading and internally developed simulation and measurement systems to assess and refine CAM and machining performance.
  • The transition of mature research technology to realise application benefit and to quantify the potential of an emerging technology to improve upon process cost benchmarks.
  • Characterising materials and tools through established (e.g. CFC style testing) and innovative methods, to benchmark current and novel materials, tools, fluids, and technology.
  • Assessment and optimisation of the application of cutting fluids and testing its chemistry and technology in machining applications (e.g. emulsion and MQL).
  • Automation of testing processes and standardisation of cutting tests.

Key resources include:

  • Industry CAM solutions (Catia, Hypermill and Siemens NX).
  • Force dynamometers (Kistler and ProMicron).
  • Process simulation & optimisation software (Metalmax TXF, Cutpro, MachPro and Vericut Force).
  • Alicona InfiniteFocus G4 & SL high-resolution 3D scanners and Carl Zeiss toolmaker’s microscopes.
  • Modde design of experiments software.
  • Internally developed volumetric process cost and finishing tool geometry optimisation modelling approaches.
  • Process monitoring solutions developed for specific research applications:
    • Tool condition monitoring systems developed to support testing automation.
    • Aerosol quality monitoring systems developed for MQL application assessment.

For more information, please contact:
Adam Brown, Technical Fellow