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

这项研究将实现对数控铣削加工过程的实时评估和对工艺变化的管理，主要目的是在当前和迫在眉睫的加工要求的背景下准确地评估刀具状态和寿命。合作者的经验表明，“保守”的刀具寿命管理方法使雷尼绍花费了刀具成本的5%至10%。无法准确评估与工艺相关的变化引起的质量成本。计划进行以下工作包：开发刀具健康在线监测的算法；设计在线刀具磨损数据采集系统；离线应用预测算法；测试刀具磨损监测系统的运行。最终预测系统的实施和测试计划以下交付内容：嵌入式刀具磨损数据采集系统。刀具磨损过程算法刀具磨损监测系统离线预测算法和最终预测系统。

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.