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1.
Intelligent support to specific design aspects
Urška Sancin, Jasmin Kaljun, Bojan Dolšak, 2008, izvirni znanstveni članek

Opis: Due to increased rivalry on the market, some specific design aspects like the use of modern plastics materials, ergonomics and aesthetics are becoming more important and are not kept in the background any more in correlation with functionality and economic aspect of the product. Design engineer faces many dilemmas while designing new products as a single person is not able to possess a wide spectrum of knowledge needed for optimal design solutions. At this point designer have to rely on his or her experience and on the knowledge of the expert team involved in the project. The fundamental purpose of the research presented in this paper is to make the product development process less experience dependent. The main goal of thematically oriented research is to develop intelligent advisory system with integrated modules forsome specific design aspects.
Ključne besede: product development, ergonomics, aesthetics, plastics, knowledge based engineering, intelligent systems
Objavljeno: 31.05.2012; Ogledov: 1026; Prenosov: 20
URL Povezava na celotno besedilo

2.
An intelligent system for structural analysis-based design improvements
Marina Novak, Bojan Dolšak, 2008, izvirni znanstveni članek

Opis: The goal of the research work presented in this paper was to collect, organize, and write the knowledge and experience about structural analysis-based design improvements into a knowledge base for a consultative advisory intelligent decision support system. The prototype of the system presented proposes possible design changes that should be taken into consideration to improve the design candidate according to the results of a prior stress-strain or thermal analysis. The system can be applied either in the design of new products or as an educational tool.
Ključne besede: computer-aided design, structural optimisation, knowledge based systems, decision support
Objavljeno: 31.05.2012; Ogledov: 1338; Prenosov: 16
URL Povezava na celotno besedilo

3.
GAJA
David Potočnik, Bojan Dolšak, Miran Ulbin, 2013, izvirni znanstveni članek

Opis: 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.
Ključne besede: parametrično modeliranje, rezalna orodja, računalniško podprti sistemi, inteligentno računalniško podprto konstruiranje, parametric modeling, cutting dies, computer-aided systems, knowledge-based design
Objavljeno: 10.07.2015; Ogledov: 1599; Prenosov: 17
URL Povezava na celotno besedilo

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