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Down-facing surfaces in laser powder bed fusion of Ti6Al4V: Effect of dross formation on dimensional accuracy and surface texture

Charles, A. P. ORCID iD icon 1; Elkaseer, Ahmed 1; Paggi, Umberto; Thijs, Lore; Hagenmeyer, Veit 1; Scholz, Steffen ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Down-facing surfaces are one of the most challenging features in metal parts produced by laser powder bed fusion (LPBF). A combination of reasons, primary of which are residual stresses and overheating cause these features to have the worst surface finish and dimensional accuracy of all LPBF surfaces. In order to examine this phenomenon, a Design of Experiments (DoE) study is conducted for three different inclination angles, namely 45°, 35° and 25° and for two different layer thicknesses of 60 µm and 90 µm. The results from the DoE are used to establish quadratic regression equations that can be used to predict the quality marks of surface roughness and the relative dimensional error.This fundamental investigation helps to explain the reasons for the major defects in down-facing surfaces of parts produced with Ti-6AL-4 V material, namely the dross formation and attempts to improve the predictability of quality within the region. Further to the establishment of the quadratic equations, a discussion is conducted on the thermomechanical processes involved in the mechanism of dross formation and explanations are given on the reasons behind the observed physical phenomena. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000135756
Veröffentlicht am 22.07.2021
DOI: 10.1016/j.addma.2021.102148
Zitationen: 35
Zitationen: 32
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 29.06.2021
Sprache Englisch
Identifikator ISSN: 2214-8604
KITopen-ID: 1000135756
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in Additive manufacturing
Verlag Elsevier
Band 46
Seiten Article: 102148
Projektinformation PAM^2 (EU, H2020, 721383)
Schlagwörter Proposal ID - 2017-018 019629 , 3DP
Nachgewiesen in Web of Science
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