Applying images processing methods for automation measurement of tool-chip contact length in orthogonal cutting

Abstract

Abstract. The simulation of machining process is an essential tool in the digitalization of the entire production chain. Currently, these simulations are not sufficiently precise to avoid the use of experimental tests in order to optimize machining operations and guarantee the quality of the machined parts. Some parameters, such as tool-chip contact length, are still underestimated, although they are critical for controlling heat transfer into the tool and implicitly its wear. In order to validate a numerical cutting simulation model, the tool-chip contact length experimentally measured should be used as a comparative quantity, in the same way as the cutting forces and the morphology of the chips is currently used. The objective of this paper is to propose an automation of tool-chip contact length measurements using image processing algorithms. The proposed algorithm was able to identify and measure the tool-chip contact length on more that 75% of images. The algorithm accuracy is evaluated by comparing computed and manually measured tool-chip contact length, for different cutting conditions. It was found that it overestimates the contact length, especially in the case where the image quality is lower.