Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study
- DOI
- 10.3390/app112411949
- Published
- 2021-12-15
- Container
- Applied Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/app112411949,
title = {Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study},
author = {Natago Guilé Mbodj and Mohammad Abuabiah and Peter Plapper and Maxime El Kandaoui and Slah Yaacoubi},
year = {2021},
journal = {Applied Sciences},
doi = {10.3390/app112411949},
url = {https://doi.org/10.3390/app112411949}
}RIS
TY - JOUR TI - Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study AU - Natago Guilé Mbodj AU - Mohammad Abuabiah AU - Peter Plapper AU - Maxime El Kandaoui AU - Slah Yaacoubi PY - 2021 JO - Applied Sciences DO - 10.3390/app112411949 UR - https://doi.org/10.3390/app112411949 ER -
APA
Mbodj, N. G., Abuabiah, M., Plapper, P., Kandaoui, M. E., & Yaacoubi, S. (2021). Bead Geometry Prediction in Laser-Wire Additive Manufacturing Process Using Machine Learning: Case of Study. Applied Sciences. https://doi.org/10.3390/app112411949
Source records
- crossref · retrieved 2026-09-25T23:03:34.517Z