| Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
|---|---|---|
| Article Number | 03042 | |
| Number of page(s) | 5 | |
| Section | Mathematical Modeling, IT, Industrial IoT, AI, and ML | |
| DOI | https://doi.org/10.1051/e3sconf/202340203042 | |
| Published online | 19 July 2023 | |
Review article: enhancing the power of artificial intelligence in mechanical design
1 Kadyrov Chechen State University, Grozny, Russia
2 Kazan National Research Technical University named after A. N. Tupolev-KAI, Kazan, Russia
* Corresponding author: ismwork@mail.ru
Artificial intelligence-powered tools are emerging lately due to the improvement of computational power and advancements in other fields. This technological progress has led to the emergence of many tools that are able to perform tasks, and even outperform humans, leading to the automation of many processes. However, this also comes with certain limitations. This work will explore generative design and its primarily application in mechanical engineering. The study will present how generative design is reshaping mechanical engineering by optimizing structures and discussing the limitations of this technique.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.