Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects

Year : 2025 | Volume : 12 | Issue : 03 | Page : 56 60
    By

    Darshan Kulkarni,

  • A. B. Kakade,

  1. Research Scholar, Dept. of Mechanical Engineering SPPU University, Pune, Maharashtra, India
  2. Assistant Professor, Dept. of Mechanical Engineering SPPU University, Pune, Maharashtra, India

Abstract

This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological problems. This research presents the development of an intelligent scheduler website that streamlines task management through automation, real-time notifications, and priority-based allocation. User testing confirmed significant improvements in productivity, time efficiency, and conflict reduction compared to traditional methods. By integrating cloud-based storage and cross- platform accessibility, the system ensures flexibility and security. While effective in its current form, future enhancements such as mobile applications, third-party integrations, and advanced customization will further expand its adaptability for personal, professional, and organizational use.

Keywords: Artificial Intelligence, Tribology, ANN, SVM, PIML, Fuzzy Systems

[This article belongs to Recent Trends in Fluid Mechanics ]

How to cite this article:
Darshan Kulkarni, A. B. Kakade. Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects. Recent Trends in Fluid Mechanics. 2025; 12(03):56-60.
How to cite this URL:
Darshan Kulkarni, A. B. Kakade. Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects. Recent Trends in Fluid Mechanics. 2025; 12(03):56-60. Available from: https://journals.stmjournals.com/rtfm/article=2025/view=228920


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 14/05/2025
Accepted 18/07/2025
Published 08/10/2025
Publication Time 147 Days
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