IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v6y2024i1p546-549id280.html
   My bibliography  Save this article

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

Author

Listed:
  • Mohammed saleh Al hemyari
  • Jowhar Saud

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.

Suggested Citation

  • Mohammed saleh Al hemyari & Jowhar Saud, 2024. "Utilizing Artificial Intelligence for Aluminum Alloy Surface Modification Technology: Enhancing Precision and Efficiency in Materials Engineering," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 6(1), pages 546-549.
    • Handle: RePEc:das:njaigs:v:6:y:2024:i:1:p:546-549:id:280
    as

    Download full text from publisher

    File URL: https://newjaigs.com/index.php/JAIGS/article/view/280
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:das:njaigs:v:6:y:2024:i:1:p:546-549:id:280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Open Knowledge (email available below). General contact details of provider: https://newjaigs.com/index.php/JAIGS/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.