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Effect of process parameters on surface texture generated by laser polishing of additively manufactured Ti-6Al-4V

dos Santos Solheid, Juliana; Elkaseer, Ahmed; Wunsch, Torsten; Charles, Amal; Seifert, Hans Jürgen; Pfleging, Wilhelm; Klotzbach, Udo [Hrsg.]; Kling, Rainer [Hrsg.]; Watanabe, Akira [Hrsg.]

Although there have been numerous attempts to define how different laser polishing parameters affect the generated surface roughness, there has been no detailed investigation of how their effects can be combined to optimize the process. This paper applies statistical analysis to model and predict the resulting surface roughness for laser post-processing of components made of Ti-6Al-4V and produced by laser powder bed fusion. This model is based on analysis of a wide ranging experimental programme investigating how the interaction of the governing parameters, i.e., laser power, number of repetitions, axial feed rate, scanning speed, and focal position, affected surface roughness. The experimental programme was the result of a robust Design of Experiments analysis and experimental analysis using ANOVA. It is expected that the outcomes will contribute towards the understanding of how the governing parameters influence the laser polishing process and final surface roughness, and would be a tool for optimizing their selection. The results of the ANOVA (analysis of variance) revealed that the most significant parameters are scanning speed followed by laser power and then axial feed rate. ... mehr

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Postprint §
DOI: 10.5445/IR/1000117583
Veröffentlicht am 09.03.2020
DOI: 10.1117/12.2545623
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien - Angewandte Werkstoffphysik (IAM-AWP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 02.03.2020
Sprache Englisch
Identifikator ISBN: 978-1-5106-3300-1
KITopen-ID: 1000117583
HGF-Programm 37.01.02 (POF III, LK 01)
Components and Cells
Erschienen in Laser-based Micro- and Nanoprocessing XIV
Verlag SPIE, Bellingham, WA
Seiten 24 S.
Serie Proceedings of SPIE ; 11268
Projektinformation PAM^2 (EU, H2020, 721383)
Schlagwörter KNMF Project-ID 2017-018-019629 LMP
Nachgewiesen in Scopus
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