Skoči na glavni sadržaj

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


Puni tekst: hrvatski pdf 3.360 Kb

str. 449-458

preuzimanja: 502

citiraj

Puni tekst: engleski pdf 3.360 Kb

str. 449-458

preuzimanja: 969

citiraj


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

https://hrcak.srce.hr/104071

Podaci na drugim jezicima: hrvatski

Posjeta: 2.053 *