@ARTICLE{Rojek_Izabela_Computational_2022,
 author={Rojek, Izabela and Mikołajewski, Dariusz and Nowak, Joanna and Szczepański, Zbigniew and Macko, Marek},
 volume={70},
 number={1},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={e140016},
 howpublished={online},
 year={2022},
 abstract={Computational intelligence (CI) can adopt/optimize important principles in the workflow of 3D printing. This article aims to examine to what extent the current possibilities for using CI in the development of 3D printing and reverse engineering are being used, and where there are still reserves in this area. Methodology: A literature review is followed by own research on CI-based solutions. Results: Two ANNs solving the most common problems are presented. Conclusions: CI can effectively support 3D printing and reverse engineering especially during the transition to Industry 4.0. Wider implementation of CI solutions can accelerate and integrate the development of innovative technologies based on 3D scanning, 3D printing, and reverse engineering. Analyzing data, gathering experience, and transforming it into knowledge can be done faster and more efficiently, but requires a conscious application and proper targeting.},
 type={Article},
 title={Computational intelligence in development of 3D printing and reverse engineering},
 URL={http://www.czasopisma.pan.pl/Content/121953/PDF/2403_corr.pdf},
 doi={10.24425/bpasts.2021.140016},
 keywords={additive manufacturing, three-dimensional printing, computational intelligence, optimization},
}