The difficulties of the assessment of tool life in CNC milling

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.

[1]  Tobias Bachmeier,et al.  Fundamentals Of Modern Manufacturing Materialsprocesses And Systems , 2016 .

[2]  Kunkel Jm,et al.  Spontaneous subclavain vein thrombosis: a successful combined approach of local thrombolytic therapy followed by first rib resection. , 1989 .

[3]  Chen Zhang,et al.  A New Method of Tool Wear Measurement , 2010, 2010 International Conference on Electrical and Control Engineering.

[4]  B. L. Juneja,et al.  Fundamentals of metal cutting and machine tools , 1987 .

[5]  Keith Ridgway,et al.  Optimisation of tool life and productivity when end milling inconel 718TM , 2007 .

[6]  Frederick Winslow Taylor,et al.  On The Art Of Cutting Metals.pdf , 2017 .

[7]  K. Mohandas,et al.  Application of Regression and Fuzzy Logic Method for Prediction of Tool Life , 2012 .

[8]  B. Li,et al.  A review of tool wear estimation using theoretical analysis and numerical simulation technologies , 2012 .

[9]  F. W. Taylor The Art of Cutting Metals , 1907 .

[10]  S. Sharif,et al.  Cutting performance and wear characteristics of PVD coated and uncoated carbide tools in face milling Inconel 718 aerospace alloy , 2001 .

[11]  Kevin Fiedler Fundamentals Of Metal Cutting And Machine Tools , 2016 .

[12]  Anselmo Eduardo Diniz,et al.  Influence of Cutting Conditions on Tool Life, Tool Wear and Surface Finish in the Face Milling Process , 2002 .

[13]  H. Shao,et al.  A cutting power model for tool wear monitoring in milling , 2004 .

[14]  Mahmudur Rahman,et al.  EFFECTS OF COOLANT SUPPLY METHODS AND CUTTING CONDITIONS ON TOOL LIFE IN END MILLING TITANIUM ALLOY , 2006 .