Reviewing Part Identification for Additive Manufacturing and Assessing Future Fields of Research
Abstract
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.
Authors 3
-
Affiliation as printed
RWTH Aachen University 1 , Digital Additive Production Dept., Campus Blvd. 73, Aachen, NRW, 52074, DE
-
Affiliation as printed
RWTH Aachen University 1 , Digital Additive Production Dept., Campus Blvd. 73, Aachen, NRW, 52074, DE
-
Affiliation as printed
RWTH Aachen University 1 , Digital Additive Production Dept., Campus Blvd. 73, Aachen, NRW, 52074, DE
Cited by 1 stored of 1
1 result
No patents citing this paper on Lens.org (checked 2026-10-06).