A data-driven topology optimization approach to handle geometrical manufacturing constraints in the earlier steps of the design phase

A data-driven topology optimization approach to handle geometrical manufacturing constraints in the earlier steps of the design phase. Almasri, W., Danglade, F., Bettebghor, D., Adjed, F., & Ababsa, F. In The 33rd CIRP Design Conference, volume 119, of Procedia CIRP, pages 377–383, Sydney, Australia, May, 2023.

Paper doi bibtex

@inproceedings{almasri_data-driven_2023,
	address = {Sydney, Australia},
	series = {Procedia {CIRP}},
	title = {A data-driven topology optimization approach to handle geometrical manufacturing constraints in the earlier steps of the design phase},
	volume = {119},
	url = {https://sam.ensam.eu/bitstream/handle/10985/26761/LISPEN_CIRP_Design_2023_ALMASRI.pdf},
	doi = {10.1016/j.procir.2023.02.143},
	booktitle = {The 33rd {CIRP} {Design} {Conference}},
	author = {Almasri, W. and Danglade, F. and Bettebghor, D. and Adjed, F. and Ababsa, F.},
	month = may,
	year = {2023},
	keywords = {Additive Manufacturing, Deep Learning, Generative Design, Topology Optimization},
	pages = {377--383},
}

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