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- W2947527706 abstract "Tool wear is a complex phenomenon occurring in all metal cutting processes. It reducesdimensional accuracy, impairs the surface integrity of the component and can haveprofound effects on the overall quality of the machined workpiece. Tool conditionmonitoring methods can be broadly split based on the source of signals collected bysensors into direct and indirect methods. In real life, it is not simple to model or predict.This thesis considers current shortcomings in applied approaches to tool managementto demonstrate the need for more accurate assessment of tool condition and particularlyremaining tool life.In this study, two kinds of indirect acquisition methods were used to estimate the toolwear. The post process method utilises the measurement of component geometry usinga Coordinate Measure Machine. The in-process method utilises the acquisition andanalysis of the applied spindle load from which tool wear can be estimated.A series of tests were conducted based upon the machining of a set of cylindrical holes.Two different diameter tools, 10 mm and 16 mm end mills, were used. The CMMacquired component geometry was used to calculate the tool wear indirectly. Themethod was proved to provide a good indication of the tool wear behaviour. In particularthe approach is shown to be helpful for identifying the important change in the rate oftool wear.The developed online monitoring system, using the spindle motor load signal, isintroduced in this thesis. It provides a practical method for detecting the progression offlank wear during machining. The results concluded that the signal amplitudes areincreased when the flank wear increases. High cutting speed cause the flank wear toform quickly and shorten the tool life. This is an efficient and low-cost method that,with further development and testing, can be used in the real machining industry topredict the actual wear in the cutting tool." @default.
- W2947527706 created "2019-06-07" @default.
- W2947527706 creator A5005620445 @default.
- W2947527706 date "2018-01-01" @default.
- W2947527706 modified "2023-09-27" @default.
- W2947527706 title "An integrated approach to tool life management" @default.
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- W2947527706 hasPublicationYear "2018" @default.
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