An investigation of key parameters in metal additive manufacturing for robotic paths planning of large parts

Metal additive manufacturing (MAM) of large parts is mainly carried out on robotic cells to overcome the problem of workspace limits of traditional machines. To optimize the production of large parts on these systems, ensure their quality, and increase productivity, it is essential to evaluate and c...

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Bibliographic Details
Published in:Welding in the world 2023-04, Vol.67 (4), p.873-883
Main Authors: Mvolo, Ela, Sabourin, Laurent, Boisselier, Didier
Format: Article
Language:English
Subjects:
Additive manufacturing
Additive Manufacturing Processes and Performance
Chemistry and Materials Science
Decision support systems
Engineering Sciences
Industrial robots
Manufacturing
Materials Science
Metallic Materials
Multiple robots
Parameter identification
Research Paper (invited)
Solid Mechanics
Theoretical and Applied Mechanics
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Summary:Metal additive manufacturing (MAM) of large parts is mainly carried out on robotic cells to overcome the problem of workspace limits of traditional machines. To optimize the production of large parts on these systems, ensure their quality, and increase productivity, it is essential to evaluate and control the relevant data from the product/process/resource triptych. However, the large number of parameters and their interdependencies make the study complex. The work presented aims to identify the key parameters of a multi-robot and multi-process MAM system. The use of the Cross Impact Matrix Multiplication Applied to Classification (MICMAC) method made it possible to prioritize parameters, model interdependencies, and identify predominant parameters. The height and width of the bead are identified as the key parameters, and the work carried out makes it possible to specify an adjustment set of the deposition strategy according to the quality. This data is integrated into a decision support tool that guides the user in the adjustment of the manufacturing process.
ISSN:0043-2288
1878-6669
DOI:10.1007/s40194-023-01487-6