The corner wear of drills is measured automatically in order to predict end of drill life, using hole quality as criterion. Drilling experiments show a strong correlation between the progress of maximum hole diameter and hole surface roughness Rα over drill life. The proposed measurement system uses colour image processing and an artificial neural network. It can detect the corner wear of a drill accurately and predict the surface roughness Rα of the hole to be drilled with mean and maximum errors of 0.32pm and -1.00μm, respectively. The presence of a built-up edge does not influence the measurement results.
|Number of pages||6|
|Journal||International Journal of the Japan Society for Precision Engineering|
|Publication status||Published - Dec 1997|
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