Artificial intelligence applications in composites: A survey
| dc.authorid | 0000-0001-9623-6955 | en_US |
| dc.authorid | 0000-0002-9084-2265 | en_US |
| dc.authorid | 0000-0003-3656-9592 | en_US |
| dc.contributor.author | Öztürk, Ercüment | |
| dc.contributor.author | Dönmez Çavdar, Ayfer | |
| dc.contributor.author | Çavdar, Tuğrul | |
| dc.date.accessioned | 2024-11-21T12:00:59Z | |
| dc.date.available | 2024-11-21T12:00:59Z | |
| dc.date.issued | 2024 | |
| dc.department | AÇÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.description.abstract | It is known that raw material resources have reached the point of depletion. Therefore, the search for alternative sources is becoming more and more common. The only product that can be considered as an alternative to raw material sources is composites. With the increase in its use in the industrial fields, studies in relation to increasing the quality of composites and reducing the production cost have recently gained attention. Experimental studies based on personal experience have now left their place to Information Technologies. Because IT is a good approach that can provide a solution to the improvement of low quality, long timeframes, and high cost in the experimental studies process. In this context, Artificial Intelligence technologies have the potential to provide better solutions and results. In this survey, a literature review on composites using AI technology was conducted. We have mainly focused on the foundations of the AI technology and its advantages in the field of composites. Consequently, it has been seen that the production of composites via IT approaches increases the quality, reduces the production costs, and abridges the experimental production process. | |
| dc.identifier.doi | 10.1007/s11831-024-10169-5 | |
| dc.identifier.issn | 1134-3060 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s11831-024-10169-5 | |
| dc.identifier.uri | https://hdl.handle.net/11494/4994 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science and Business Media B.V. | en_US |
| dc.relation.ispartof | Archives of Computational Methods in Engineering | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/embargoedAccess | en_US |
| dc.title | Artificial intelligence applications in composites: A survey | en_US |
| dc.type | Article |
