AUTOMATIC GENERATION OF 3D MACHINING SURFACES WITH TOOL COMPENSATION FROM GRAYLEVEL IMAGE MODELS

The paper presents a theoretical approach and implementing issue for automatic CNC toolpath generation using morphological image processing operators applied to depth map images. This method allows computing cutter compensation for various end mill shapes. Roughing is made using zigzag cuts with a flat end mill, and finishing is done with isoparametric toolpaths using various rounded end mills. An AI-based algorithm and image processing software create CNC machining instructions from depth map image models. The paper also describes a graphical user interface and includes experimental results.