In-Process Digital Monitoring of Additive Manufacturing: Proposed Machine Learning Approach and Potential Implications on Sustainability-Reference-Cited by-同舟云学术

In-Process Digital Monitoring of Additive Manufacturing: Proposed Machine Learning Approach and Potential Implications on Sustainability

Published:2020-09-11 Issue: Volume: Page:297-306
ISSN:2190-3018
Container-title:Sustainable Design and Manufacturing 2020
language:
Short-container-title:

Author:

Charles Amal^ORCID,Salem Mahmoud^ORCID,Moshiri Mandaná^ORCID,Elkaseer Ahmed^ORCID,Scholz Steffen G.^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8131-1_27

Reference24 articles.

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3. Carvalho, N., Chaim, O., Cazarini, E., Gerolamo, M.: Manufacturing in the fourth industrial revolution: A positive prospect in Sustainable Manufacturing. Procedia Manuf. 21, 671–678 (2018). https://doi.org/10.1016/j.promfg.2018.02.170

4. Charles, A., Elkaseer, A., Thijs, L., Hagenmeyer, V., Scholz, S.: Effect of process parameters on the generated surface roughness of down-facing surfaces in selective laser melting. Appl. Sci. 9(6), 1256 (2019). https://doi.org/10.3390/app9061256

5. Charles, A., Elkaseer, A., Thijs, L., Scholz, S.G.: Dimensional errors due to overhanging features in laser powder bed fusion parts made of Ti-6Al-4 V. Appl. Sci. 10(7), 2416 (2020)

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