Prediction of surface topography change during chain of selective laser melting and burnishing / Teimouri Reza, Skoczypiec Sebastian, Grabowski Marcin // W: Material Forming : The 26th International ESAFORM ... więcej

Prediction of surface topography change during chain of selective laser melting and burnishing / Teimouri Reza, Skoczypiec Sebastian, Grabowski Marcin // W: Material Forming : The 26th International ESAFORM Conference on Material Forming held in Kraków, Poland, April 19-21, 2023 [Dokument elektroniczny] / ed. by Lukasz Madej, Mateusz Sitko, Konrad Perzynski. – Millersville, PA : Materials Research Forum LLC, 2023. – (Materials Research Proceedings, ISSN 2474-395X ; 28). – S. 31-40 : il. (w tym kolor.). – Tryb dostępu: https://www.mrforum.com/wp-content/uploads/open_access/9781644902479/4.pdf. – Oznaczenie ref./art.: 4. – Bibliogr. 14 poz., Abstr. – doi: 10.21741/9781644902479-4. – eISBN 978-1-64490-247-9

The present study developed theoretical models for simulation of surface topography and roughness of parts produced by the selective laser melting (SLM) process and their evolution after burnishing as ... więcej

The present study developed theoretical models for simulation of surface topography and roughness of parts produced by the selective laser melting (SLM) process and their evolution after burnishing as post-treatment. The simulation algorithm has been integrated by combining principles of selective laser melting process, i.e., formation of the melt pool and kinematic of motion, followed by mechanic of burnishing through Z-map approach. To verify the simulation results, 316L stainless steel was 3D printed and then burnished under different burnishing depth. 3D surface profile and surface roughness of as-printed material and those post-processed by surface burnishing (SB) were measured through microscopic examination and surface roughness measurement, respectively. The results obtained through comparison of confirmatory experiments and simulation model affirmed that the proposed approach is accurate enough to predict the surface topography and roughness of as-printed and post-treated samples.