SYMPOSIA PAPER Published: 01 December 2022
STP164420210135

Reviewing Part Identification for Additive Manufacturing and Assessing Future Fields of Research

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Although the numbers of sold additive manufacturing (AM) systems are growing rapidly year by year, the applications in series production are only quite a few. Part identification, which aims to identify suitable parts for AM, has turned out to be a difficult task. Because part identification has to consider various aspects such as the given cost structure, scope for redesign, and available data, different part identification methods have been developed. However, the optimal part identification method depends on the context in which it is applied. Therefore, this paper reviews the part identification methods that have been proposed thus far and the use cases in which part identification is applied and classifies them in a user-friendly way. This allows the user to select the right strategy for identifying suitable parts for AM based on the advantages and disadvantages of the approaches in respect to the use case and available resources. Further, the findings of the research conducted so far in the field of part identification are composed to assess how part identification can be improved by future research.

Author Information

Kolter, Moritz
RWTH Aachen University, Aachen, NRW, DE
Collet, Andreas
RWTH Aachen University, Aachen, NRW, DE
Schleifenbaum, Johannes, Henrich
RWTH Aachen University, Aachen, NRW, DE
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Details
Pages: 157–176
DOI: 10.1520/STP164420210135
ISBN-EB: 978-0-8031-7736-9
ISBN-13: 978-0-8031-7735-2