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  4. Analysis of design guidelines for automated order acceptance in additive manufacturing
 
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Analysis of design guidelines for automated order acceptance in additive manufacturing

Citation Link: https://doi.org/10.15480/882.1842
Publikationstyp
Journal Article
Date Issued
2017-05
Sprache
English
Author(s)
Rudolph, Jan-Peer  
Emmelmann, Claus  orcid-logo
Institut
Laser- und Anlagensystemtechnik G-2  
TORE-DOI
10.15480/882.1842
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1845
Journal
Procedia CIRP  
Volume
60
Start Page
187
End Page
192
Citation
Procedia CIRP (60): 187-192 (2017)
Contribution to Conference
27th CIRP Design Conference 2017  
Publisher DOI
10.1016/j.procir.2017.01.027
Scopus ID
2-s2.0-85020045604
Publisher
Elsevier
Additive manufacturing (AM) is increasingly used in industrial production. Compared to conventional manufacturing technologies, such as milling and casting, AM offers a high degree of design freedom. Nevertheless, still some manufacturing restrictions and design guidelines have to be considered to ensure a flawless production. Therefore, a checking of design guidelines is a necessary step in order acceptance. Addressing this need, this paper presents an integrated analysis of design guidelines for an automated order acceptance.
In recent times, guideline catalogs for the design of additively manufactured parts have been developed. However, the analysis of a part's geometry with regard to these guidelines still requires a lot of manual work and expert knowledge. This paper introduces different algorithmic approaches, which automate the analysis and assessment of a part's geometry. Based on a preselection of guidelines from existing design catalogs for selective laser melting and sintering, this paper presents algorithms to automatically check the manufacturability of a part. The algorithms use the triangulated surface geometry (STL) of a part. They are implemented within a web-based platform for the automated order acceptance of additive manufactured parts. The evaluation compares the different algorithms regarding their efficiency and effectiveness.
Subjects
design guidelines
manufacturing restrictions
automation
order acceptance
design for manufacturing (DFM)
additive manufacturing (AM) STL
DDC Class
530: Physik
620: Ingenieurwissenschaften
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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