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

通过新颖的数据采集和决策技术优化刀具寿命

• 批准号: 1825828
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1825828
• 关键词: Optimisation; Tool; Life; though; Novel

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.

这项研究将使数控铣削加工过程的真实的时间评估和管理的过程variation.The主要目的将是准确地评估当前和即将到来的加工要求的上下文中的工具的条件和寿命。合作者的经验表明，“保守”的刀具寿命管理方法使雷尼绍在切削刀具上花费了5%到10%的资金。无法准确评估与工艺相关的变化所产生的质量成本。计划进行以下工作包（CNP）：开发在线监测刀具健康状况的算法。在线刀具磨损数据采集系统的工程预测算法的离线应用。测试切削刀具磨损监测系统的操作。最终预测系统实施和测试计划交付以下成果：嵌入式刀具磨损数据采集系统。刀具磨损过程算法切削刀具磨损监测系统离线预测算法最终预测系统。

项目成果

CNC spindle signal investigation for the prediction of cutting tool health

• 发表时间: 2018-07
• 作者: Jacob L. Hill;P. Prickett;R. Grosvenor;Gareth Hankins

The practical exploitation of tacit machine tool intelligence

• DOI: 10.1007/s00170-019-03963-0
• 发表时间: 2019-06
• 期刊: The International Journal of Advanced Manufacturing Technology
• 作者: Jacob L. Hill;P. Prickett;R. Grosvenor;Gareth Hankins