Optimisation of Tool Life though Novel Data Acquisition and Decision Making Techniques

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This research will enable the real time assessment of CNC milling cutting processes and the management of process variations.The primary aim will be to accurately assess tool condition and life in the context of current and imminent machining requirements. The experience of the collaborators indicates that "conservative" approaches to tool life management is costing Renishaw between 5 and 10% of the money spent on cutting tools. The cost of quality arising from process related variations cannot be accurately assessed.The following work packages CNP) are planned:Development of algorithms for t he on-line monitoring of tool health.The engineering of the on-line tool-wear data acquisition systemThe off-line application of the prognostic algorithms.Testing the operation of the cutting tool wear monitoring system.Final prognostic system implementation and testingThe following deliverables are planned:Embedded tool wear data acquisition system.Tool wear process algorithmsCutting tool wear monitoring system Off-line prognostic algorithmsFinal prognostic system.