Machining time estimation using the geometrics features of the 2.5D pocket contour
Autor: | Óscar Rodríguez-Alabanda, Pablo E. Romero, Guillermo Guerrero-Vacas |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Machining time Computer science Geometry 02 engineering and technology Industrial and Manufacturing Engineering Image (mathematics) Computer Science::Graphics 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Machining Zigzag Artificial Intelligence A priori and a posteriori |
Zdroj: | Procedia Manufacturing. 41:508-515 |
ISSN: | 2351-9789 |
DOI: | 10.1016/j.promfg.2019.09.038 |
Popis: | This work studies the relationship between different geometrical parameters of the contour of a polygonal pocket and the time needed to machining that pocket, using zigzag strategy. The geometrical parameters used to characterize the pockets are typical of image analysis techniques: form factor, elongation index and minimal enclosing circle ratio. Ten different polygonal pockets were studied, all with the same area. The time invested in each case was measured experimentally. The results show that there is a relationship between the three geometric parameters and the time invested in pocketing. These results can be useful for designers to estimate a priori the polygonal geometries whose machining consumes less time. |
Databáze: | OpenAIRE |
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