Original scientific paper

https://doi.org/10.17559/TV-20150908142130

Intelligent design and optimization of machining fixtures

Djordje Vukelic orcid.org/0000-0003-2420-6778 ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
Goran Simunovic orcid.org/0000-0002-7159-2627 ; Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia
Branko Tadic ; University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Borut Buchmeister orcid.org/0000-0003-3549-9596 ; University of Maribor, Faculty of Mechanical Engineering, Smetanova 17, 2000 Maribor, Slovenia
Tomislav Saric orcid.org/0000-0002-6339-7936 ; Josip Juraj Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia
Nenad Simeunovic orcid.org/0000-0002-8100-4315 ; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia

Abstract

This work presents an integral system for machining fixture layout design and optimization. The optimization module of this system allows determination of optimal positions of locating and clamping elements, which provides required accuracy and surface quality, while at the same time guarantees design of collision-free fixtures. The design module performs selection of required fixture elements based on a set of predefined production rules. Adequate criteria for the selection of fixture elements are defined for locating, clamping, tool guiding, and tool adjustment elements, as well as for fixture body elements, connecting elements and add-on elements. The system uses geometry and feature workpiece characteristics, as well as the additional machining, and process planning information. It has been developed to accommodate machining processes of turning, drilling, milling, and grinding of rotational and prismatic workpieces. A segment of output results is also shown. Finally, conclusions are presented with directions for future investigation.

Keywords

artificial intelligence; fixture; process planning

Hrčak ID:

167490

URI

https://hrcak.srce.hr/167490

Publication date:

13.10.2016.

Article data in other languages: croatian

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