Lightweight Structural Design of UAM Fuselage Using AI Predictive Modeling and Composite Big Data from Automated Manufacturing.

Son WH, Kim JH, Bae SY

DOI: 10.3390/ma19112222
Published: 2026 May 25
Container: Materials (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/ma19112222,
  title = {Lightweight Structural Design of UAM Fuselage Using AI Predictive Modeling and Composite Big Data from Automated Manufacturing.},
  author = {Son WH and Kim JH and Bae SY},
  year = {2026},
  journal = {Materials (Basel, Switzerland)},
  doi = {10.3390/ma19112222},
  url = {https://doi.org/10.3390/ma19112222}
}

RIS

TY  - JOUR
TI  - Lightweight Structural Design of UAM Fuselage Using AI Predictive Modeling and Composite Big Data from Automated Manufacturing.
AU  - Son WH
AU  - Kim JH
AU  - Bae SY
PY  - 2026
JO  - Materials (Basel, Switzerland)
DO  - 10.3390/ma19112222
UR  - https://doi.org/10.3390/ma19112222
ER  -

APA

WH, S., JH, K., & SY, B. (2026). Lightweight Structural Design of UAM Fuselage Using AI Predictive Modeling and Composite Big Data from Automated Manufacturing.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma19112222

Source records

pubmed · retrieved 2026-09-25T03:47:10.064Z