Utilizing Artificial Intelligence for Aluminum Alloy Surface Modification Technology: Enhancing Precision and Efficiency in Materials Engineering

Mohammed saleh Al Hemyari () and Jowhar Saud ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 6, issue 1, 546-549

Abstract: Surface modification technologies are pivotal in enhancing material performance and extending component life in various engineering applications. Recent advancements in Artificial Intelligence (AI) have provided new methodologies to further improve precision, efficiency, and adaptability in surface modification processes. This research explores the integration of AI in surface modification technologies, specifically focusing on its contributions to improving quality control, predictive capabilities, and process optimization. By leveraging machine learning algorithms, enhanced data analysis, and real-time process adjustments, the integration of AI has the potential to revolutionize material engineering and surface enhancement techniques. This paper aims to evaluate the effectiveness of AI-driven surface modification through various methodologies, discussing their advantages, limitations, and the pathways towards a sustainable materials future.

Keywords: Artificial Intelligence; Surface Modification; Machine Learning Models; Materials Engineering; Process Optimization (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/280 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:6:y:2024:i:1:p:546-549:id:280

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().