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Effect of Process Parameters on the Generated Surface Roughness of Down-Facing Surfaces in Selective Laser Melting

Charles, A. P. ORCID iD icon 1; Elkaseer, Ahmed 1; 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/1000092740
Veröffentlicht am 29.03.2019
DOI: 10.3390/app9061256
Zitationen: 115
Web of Science
Zitationen: 99
Zitationen: 122
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2076-3417
KITopen-ID: 1000092740
HGF-Programm 43.22.03 (POF III, LK 01) Printed Materials and Systems
Erschienen in Applied Sciences
Verlag MDPI
Band 9
Heft 6
Seiten Article: 1256
Projektinformation PAM^2 (EU, H2020, 721383)
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 26.03.2019
Schlagwörter Proposal ID: 2017-018 019629; 3DP
Nachgewiesen in Dimensions
Web of Science
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