Abstract
The cutting part of mills determines their operational efficiency and the product quality. The cutting edges of mills with complex production surfaces have special design features as a result of intersection of the helical rake surfaces with the rear surface. Accordingly, in this case standart monitoring of the cutting edges’ geometry is problematic. In the present work, a method is proposed for monitoring of the cutting edges by means of machine vision. The new method is based on algorithms and models expressing the functional relations between the design parameters and the mechanism for image capture and recognition. These parameters ensure monitoring of the dimensional precision and the chipping of the mill’s edges. The algorithm optimizes the range of image capture by assessing he difference in color intensity and detects points on the wear edge within the horizontal observation regions for the boundary of the edge or chip. The measurement error was incorporated into the CAD design of mills with a shaped cutting surface. A Walter Helicheck Plus high-precision system is used for experiments and verification of the precision measurements at the end mill’s cutting edges. The proposed method is universal and can greatly simplify the measurement of multicutter mills.
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ACKNOWLEDGMENTS
This research was conducted on equipment at the State Engineering Center, STANKIN Moscow State Technical University.
Funding
Financial support was provided by grant of the President of the Russian Federation for state support of young Russian scientists - candidates of science (Competition-MK-2021). MK-5557.2021.4.
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Translated by B. Gilbert
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Pivkin, P.M., Grechishnikov, V.A., Ershov, A.A. et al. A New Method of Measuring the Edges of a Mill with a Shaped Cutting Surface. Russ. Engin. Res. 43, 355–358 (2023). https://doi.org/10.3103/S1068798X2304024X
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DOI: https://doi.org/10.3103/S1068798X2304024X