Design framework for model-based self-optimizing manufacturing systems

2018 ◽  
Vol 97 (1-4) ◽  
pp. 519-528 ◽  
Author(s):  
Ulrich Thombansen ◽  
Guido Buchholz ◽  
Daniel Frank ◽  
Julian Heinisch ◽  
Maximilian Kemper ◽  
...  
2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  

AbstractAdditive 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.


2019 ◽  
Vol 58 (27) ◽  
pp. 12097-12115 ◽  
Author(s):  
Kaiyu Cao ◽  
Prashanth Siddhamshetty ◽  
Yuchan Ahn ◽  
Rajib Mukherjee ◽  
Joseph Sang-Il Kwon

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