GAJA

3-D CAD methodology for developing a parametric system for the automatic (re)modeling of compound washer dies' cutting-components

David Potočnik (Author), Bojan Dolšak (Author), Miran Ulbin (Author)

Abstract

Although the designing of cutting-dies is a complex and experience-based process, it is poorly supported by conventional 3D CAD software. Thus, the majority of design activities, including the (re)modeling of those cutting die-components that are directly responsible for performing shaping operations on a sheet-metal stamping part, traditionally still need to be carried-out repetitively, separately, and manually by the designer. In order to eliminate some of these drawbacks and upgrade the capabilities of conventional 3D CAD software, this paper proposes a new methodology for the development of a parametric system capable of automatically performing a (re)modeling process of compound washer diesć cutting-components. The presented methodology integrates CATIA V5 built-in modules, including Part Design, Assembly Design and Knowledge Advisor, publication mechanism, and compound cutting die-design knowledge. The system developed by this methodology represents an 'intelligent' assembly template composed of two modules 'GAJA1' and 'GAJA2', respectively. 'GAJA1' is responsible for the direct input of the die-design problem regarding the shape, dimensions and material of the stamping part, its extraction in the form of geometric features, and the transferring of relevant design parameters and features to the module 'GAJA2'. 'GAJA2' interprets the current values for the input parameters and automatically performs the modeling process of cutting die-components, using die-design knowledge and the company's internal design and manufacturing standards. Experimental results show that the use of this system significantly shortens the modeling-time for cutting the die-components, improves the modeling-quality, and enables the training of inexperienced designers.

Keywords

parametrično modeliranje;rezalna orodja;računalniško podprti sistemi;inteligentno računalniško podprto konstruiranje;parametric modeling;cutting dies;computer-aided systems;knowledge-based design;

Data

Language:	English
Year of publishing:	2013
Typology:	1.01 - Original Scientific Article
Organization:	UM FS - Faculty of Mechanical Engineering
UDC:	621.9
COBISS:	16717590
ISSN:	1673-565X
Views:	2309
Downloads:	38
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
URN:	URN:SI:UM:
Type (COBISS):	Not categorized
Pages:	str. 327-340
Volume:	ǂVol. ǂ14
Issue:	ǂiss. ǂ5
Chronology:	May 2013
DOI:	10.1631/jzus.A1200245
ID:	1439343