Optical inline monitoring of the burnish surface in the punching process

Abstract Punching is a wide-spread production process, applied when massive amounts of the ever-same cheap parts are needed. The punching process sensitive to multitude parameters. Unfortunately, precise dependencies often unknown. A prerequisite for optimal, reproducible and transparent alignment knowledge how exactly parameters influence quality part, which in turn requires quantitative description part. We developed an optical inline monitoring system, consists combined imaging triangulation sensor as well subsequent image processing. show that it possible capture images cutting surface every part within production. automatically derive using example burnish height from 2D images. In addition, 3D calculated verified As application, we status tool wear can be inferred by height, with immediate consequences predictive maintenance. Although limited slow processing our prototype, conclude connecting machine metrics real time single enables data-driven modelling ultimately implementation intelligent machines.