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Review of CAD-model Capabilities and Restrictions for Multidisciplinary use
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0002-9337-791x
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0003-1162-724x
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0002-3677-8311
2018 (English)In: Computer-Aided Design and Applications, ISSN 1686-4360, Vol. 15, no 4, p. 509-519Article in journal (Refereed) Published
Abstract [en]

Product development is an iterative process, partially due to changes in both company internal and external product requirements, resulting in changes to the product under development. These changes might require recapitulation of design rationale and result in re-doing assessments and syntheses of different kinds. One way to support this work is to proactively model in such a way that as much as possible of the previous work can be re-used. Not only within one product development project but also across and to future ones. Modelling for re-use can be done by documenting design rationale and formalising performed activities as design guidelines or computer scripts. To be able to find and re-use this information it could be attached to the product features which it relates to. Since geometry is such a core product characteristic, especially within the mechanical industry, and is often modelled as CAD-models, this paper presents a review of CAD-model capabilities and restrictions to serve as a carrier of multidisciplinary information. This is done by; enquiring three Swedish companies, exploring an automated Finite Element Analysis method utilising the CAD-model as a carrier of information, and reviewing different CAD software capabilities. Results show that there are at least seven extension techniques, out of which all are currently being used or considered to be in the future, by at least one company. Further, depending on the extension technique, extendibility and human-comprehension of the added information differ.

Place, publisher, year, edition, pages
Taylor & Francis, 2018. Vol. 15, no 4, p. 509-519
Keywords [en]
Computer-aided design, computer supported engineering, simulation-ready cad-models, knowledge re-use
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-37034DOI: 10.1080/16864360.2017.1419639Scopus ID: 2-s2.0-85040971759OAI: oai:DiVA.org:hj-37034DiVA, id: diva2:1136516
Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2019-02-14Bibliographically approved
In thesis
1. Multidisciplinary design automation: Working with product model extensions
Open this publication in new window or tab >>Multidisciplinary design automation: Working with product model extensions
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Being able to efficiently and effectively provide custom products has been identified as a competitive advantage for manufacturing organizations. Product configuration has been shown to be an effective way of achieving this through a modularization, product platform and product family development approach. A core assumption behind product configuration is that the module variants and their constraints can be explicitly defined as product knowledge in terms of geometry and configuration rules. This is not always the case, however. Many companies require extensive engineering to develop each module variant and cannot afford to do so in order to meet potential customer requirements within a predictable future. Instead, they try to implicitly define the module variants in terms of the process for how they can be realized. In this way they can realize module variants on demand efficiently and effectively when the customer requirements are better defined, and the development can be justified by the increased probability of profiting from the outcome.

Design automation, in its broadest definition, deals with computerized engineering support by effectively and efficiently utilizing pre-planned reusable assets to progress the design process. There have been several successful implementations reported in the literature, but a widespread use is yet to be seen. It deals with the explicit definition of engineering process knowledge, which results in a collection of methods and models that can come in the form of computer scripts, parametric CADmodels, template spreadsheets, etc. These methods and models are developed using various computer tools and maintained within the different disciplines involved, such as geometric modeling, simulation, or manufacturing, and are dependent on each other through the product model. To be able to implement, utilize, and manage design automation systems in or across multiple disciplines, it is important to first understand how the disciplinary methods and models are dependent on each other through the product model and then how these relations should be constructed to support the users without negatively affecting other aspects, such as modeling flexibility, minimum documentation, and software tool independence.

To support the successful implementation and management of design automation systems the work presented here has focused on understanding how some digital product model constituents are, can, and, to some extent, should be extended to concretize relations between methods and models from different tools and disciplines. It has been carried out by interviewing Swedish industrial companies, performing technical reviews, performing literature reviews, and developing prototypes, which has resulted in an increased understanding and the consequent development of a conceptual framework that highlights aspects relating to the choice of extension techniques.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2018. p. 56
Series
JTH Dissertation Series ; 037
National Category
Software Engineering
Identifiers
urn:nbn:se:hj:diva-41191 (URN)978-91-87289-38-5 (ISBN)
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2019-02-14Bibliographically approved

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Heikkinen, TimJohansson, JoelElgh, Fredrik

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