Model-based design of AM components to enable decentralized digital manufacturing systems
Paper in proceeding, 2021

Additive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

Author

Olivia Borgue

Chalmers, Industrial and Materials Science, Product Development

John Stavridis

Polytechnic University of Turin

Tomas Vannucci

RISE Research Institutes of Sweden

Panagiotis Stavropoulos

Universityof Patras

Harry Bikas

Universityof Patras

Rosa Di Falco

Polytechnic University of Turin

Lars Nyborg

Chalmers, Industrial and Materials Science, Materials and manufacture

Proceedings of the International Conference on Engineering Design, ICED

22204334 (ISSN) 22204342 (eISSN)

International Conference of Engineering Design
Gothenburg, Sweden,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Engineering and Technologies not elsewhere specified

Business Administration

DOI

10.1017/pds.2021.474

More information

Latest update

5/16/2023