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Titel: Exploitation of AM-Potentials by Linking Manufacturing Processes to Function-Driven Product Design
VerfasserIn: Reichwein, Jannik
Kaspar, Jerome
Vielhaber, Michael
Kirchner, Eckhard
Sprache: Englisch
Titel: Proceedings of the Design Society
Startseite: 739
Endseite: 748
Verlag/Plattform: Cambridge University Press
Erscheinungsjahr: 2019
Erscheinungsort: Cambridge
Titel der Konferenz: ICED 2019
Konferenzort: Delft, The Netherlands
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: Additive Manufacturing (AM) processes had an extensively and substantially technological growth over the past years that directly influences the continuously increased and manifold possibilities for processing new and innovative products. However, additively manufactured products mostly are still fabricated with only small adaptions compared to conventional parts, and thus waste many design potentials although specific design guidelines have been widely developed to restrict geometrical deficiencies or suggest improvements in component design. As a result, this contribution furtherly aims to systematically consider AM potentials already on the functional level of product development offering significant but until now still not or just insufficiently exploited potentials. Therefore, the presented approach uses the already proven Design Pattern Matrix (DPM) approach for conventional technologies extended by a concurrent selection of materials and processes specifically for AM. Here, the DPM derives information about the manufacturing process in form of design elements and links them to the function carriers of the product including a methodological determination of requirements.
DOI der Erstveröffentlichung: 10.1017/dsi.2019.78
URL der Erstveröffentlichung: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/exploitation-of-ampotentials-by-linking-manufacturing-processes-to-functiondriven-product-design/23F1A41871E952A43CD4B4D5BF9BDAF3
Link zu diesem Datensatz: hdl:20.500.11880/28422
http://dx.doi.org/10.22028/D291-29417
ISSN: 2220-4342
Datum des Eintrags: 4-Dez-2019
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Michael Vielhaber
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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