Mahmood, Muhammad Arif;
Ur Rehman, Asif;
Khraisheh, Marwan;
Salamci, Metin U;
Ur Rehman, Rashid;
Sajjad, Uzair;
Ristoscu, Carmen;
... Mihailescu, Ion N; + view all
(2024)
Additive Manufacturing: Experiments, Simulations, and Data-Driven Modelling.
Crystals
, 14
(9)
, Article 763. 10.3390/cryst14090763.
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Abstract
Additive manufacturing (AM) has profoundly impacted modern engineering and materials science by enabling unparalleled control over microstructures, customization, and material properties [1]. Over the past decade, significant strides have been made in AM technologies, allowing for the fabrication of complex geometries and the integration of advanced materials [2,3]. This editorial provides an overview of recent developments in the field, identifies existing knowledge gaps, and highlights how the studies in this Special Issue address these challenges. We also explore potential avenues for future research that could further enhance the capabilities and applications of AM.
| Type: | Article |
|---|---|
| Title: | Additive Manufacturing: Experiments, Simulations, and Data-Driven Modelling |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/cryst14090763 |
| Publisher version: | https://doi.org/10.3390/cryst14090763 |
| Language: | English |
| Additional information: | Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
| Keywords: | Science & Technology, Physical Sciences, Technology, Crystallography, Materials Science, Multidisciplinary, Materials Science |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206932 |
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