Tehnički vjesnik, Vol. 20 No. 3, 2013.
Izvorni znanstveni članak
Evaluation of 3D tool wear in machining by successive stereo-photogrammetry and point cloud processing
Damir Vučina
; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering and Naval Architecture, Ruđera Boškovića 32, 21000 Split, Croatia
Dražen Bajić
; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering and Naval Architecture, Ruđera Boškovića 32, 21000 Split, Croatia
Sonja Jozić
; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering and Naval Architecture, Ruđera Boškovića 32, 21000 Split, Croatia
Igor Pehnec
; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Department of Mechanical Engineering and Naval Architecture, Ruđera Boškovića 32, 21000 Split, Croatia
Sažetak
The tool wear evaluation has a very strong impact on the product quality as well as efficiency of the manufacturing process. Experience-based assessment of tool wear and total cumulative time of operation has been applied. Tactile mechanical sensing devices and optical microscopes have been applied as well. This paper proposes and applies an inovative optical tool wear measurement method. It is based on 3D optical sensing using stereo-photogrammetry and triangulation. It offers high accuracy 3D dimensional deviation measurement spanning over the total tool surface, hence 3D deviation vectors from some reference shape are obtained simultaneously for millions of points. The overall tool wear shape function in 3D is generated, in many cases even without disassembly of the tool. Capturing the tool wear as a 3D shape function potentially offers abundant information towards diagnostics in terms of correlating the particular tool wear shape function with respective potential causes.
Ključne riječi
3D tool wear; end milling; stereophotogrammetry; surface deviation; wear diagnostic
Hrčak ID:
104071
URI
Datum izdavanja:
15.6.2013.
Posjeta: 2.440 *