In topology optimization using deep learning, the load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design …
J Hu, Y He, B Xu, S Wang, N Lei, Z Luo - Computer-Aided Design, 2024 - Elsevier
Topology optimization holds great significance as a research topic in the field of mechanical engineering, aiming to design and optimize structures to achieve desired performance while …
J Varela, E Arrieta, M Paliwal, M Marucci, JH Sandoval… - Materials, 2021 - mdpi.com
An unmodified, non-spherical, hydride-dehydride (HDH) Ti-6Al-4V powder having a substantial economic advantage over spherical, atomized Ti-6Al-4V alloy powder was used …
Advances in manufacturing technologies and materials are crucial to the commercial deployment of energy technologies. We present the case of concentrating solar power …
P Eremeev, A De Cock, H Devriendt… - Structural and …, 2024 - Springer
Simultaneous optimization of a family of related products can yield significant benefits compared to individual product optimization. Standardization of parts across different …
The integration of Artificial Intelligence techniques into Decision Support Systems yields effective solutions to decision problems, especially when complex scenarios are at hand …
Design for additive manufacturing (DFAM) can be categorized into design and manufacturing decisions to support designers in utilizing additive manufacturing (AM) …