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The difficulties of the assessment of tool life in CNC milling

Ahmed, Zinah J., Prickett, Paul william and Grosvenor, Roger Ivor 2017. The difficulties of the assessment of tool life in CNC milling. Presented at: The International Conference for Students on Applied Engineering, Newcastle, United Kingdom, 20-21 October 2016. Published in: Al-Shibaany, Z. Y. A. and Hameed, A. F. eds. 2016 International Conference for Students on Applied Engineering (ICSAE) Proceedings. Piscataway, NJ: IEEE, pp. 452-457. 10.1109/ICSAE.2016.7810234

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Abstract

In the manufacturing process, tool life is an important parameter in milling operations. The main objective of this paper is to explain how difficult is it to assess how much work a tool has undertaken before it must be changed. A number of ways of expressing tool life are currently used, including the conventional method based upon one of several configurations of the Taylor Tool Life Equation. These usually express tool life in terms of known material properties together with primary machining variables like speed, feed and depth of cut. Other approaches are based upon the extrapolation of a tool wear curve and considerations of the volume of metal removed. This initial investigation adopts an approach that is based upon a series of experiments, which produce data indicating the changes in machined feature form and dimension. For this study, a new test piece was designed in order to allow the indirect assessment of the tool flank wear by utilising a Coordinate Measuring Machine to accurately measure the workpieces. This work is intended to indicate how difficult it is to actually apply the existing methods to manage tool wear. The aim is to engineer a better way and to establish a methodology of measuring what the tool is actually doing in real time using the machine controller.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IEEE
ISBN: 9781467390538
Date of First Compliant Deposit: 7 August 2019
Last Modified: 07 Aug 2019 09:30
URI: http://orca.cf.ac.uk/id/eprint/98232

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