KIT | KIT-Bibliothek | Impressum | Datenschutz

Restrictive and Opportunistic Method in Design for Manufacturing

Doellken, Markus; Arndt, Lorin; Buehlmeier, Julius; Matthiesen, Sven

Abstract:
The main objective of design for manufacturing (DfM) is to ensure and simplify the manufacturing of products and reduce manufacturing costs. The problem is, that it remains unclear, which challenges and difficulties are most frequently encountered when considering the manufacturing process during the design phase. Only few studies have objectively investigated the influence of a restrictive method on the design results. The aim of this research is to investigate the effect of restrictive method on manufacturability and the manufacturing effort of the design outcome for design engineers and students.
Design engineers as well as students designed and selected concepts with a high manufacturing effort. Successful approaches were those, which designed concepts completely without welding joints by cleverly redesigning the design and still fulfil the function. Hence, we present successful approaches as an opportunistic method in DfM, which can be transferred to further manufacturing processes.

Open Access Logo


Zugehörige Institution(en) am KIT Institut für Produktentwicklung (IPEK)
Publikationstyp Forschungsdaten
Publikationsdatum 09.12.2020
Erstellungsdatum 01.07.2019 - 04.12.2020
Identifikator DOI (KIT): 10.5445/IR/1000127148
KITopen-ID: 1000127148
Lizenz Creative Commons Namensnennung 4.0 International
Vorab online veröffentlicht am 04.12.2020
Schlagwörter Design for Manufacturing; Design Methods; Conceptual Design
Liesmich

These information should support you in interacting with the file.
1) Use a pdf compatible software to open the file
2) The pdf is designed as interactive with buttons. No need to scroll.
3) The structure and links in the file are carefully designed
4) To open the videos in the file a flash player could be useful.
5) Please do not hesitate to contact us if problems occur: markus.doellken@kit.edu

The authors would like to express their appreciation to all of those without whom this research would not have been possible. Special thanks go to TRUMPF GmbH + Co KG, Ditzingen, Germany, for their support and funding of this project. The authors also wish to thank Dipl.-Ing. Jörg Heusel and Mr. Thomas Bronnhuber for their valuable technical support to this project, and especially M.Sc. Jonas Steiling for his patient guidance, for the many discussions on the content-related tasks, and for his help in collecting the data. The research reported in this article was carried out with the agreement of all participants.

Art der Forschungsdaten Dataset
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page