The application discloses an automatic detection
system of a rod-shaped
milling cutter, and relates to the technical field of automatic detection.The
system is built based on nonlinear state
machine scheduling logic, and is provided with a cutter identification and parameter
template library, pretreatment and pre-detection, multi-
sensor fusion main detection, suspicious area re-detection, decision output and
data recording modules.The pretreatment coarse measurement of geometric parameters realizes three-state classification and guides the detection process; the main detection module enables gravity deflection compensation for high-length-
diameter-ratio cutters, corrects the sensor measurement value according to a
cantilever beam model, and uses double-
wavelength optical discrimination technology to distinguish real defects from surface attachments by using a differential
feature vector.When the parameters are in a critical boundary, re-detection is started, the micro three-dimensional morphology is reconstructed by a phase shift interference method, and contact re-measurement is performed.The
system fuses physical compensation and intelligent scheduling, ensures micron-level detection accuracy, greatly shortens the detection time, reduces the
false detection rate, and provides precise quantitative data support for the whole life cycle management of the cutter.