Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review

Year : 2025 | Volume : 12 | Issue : 03 | Page : 30 35
    By

    Rishabh D. Makwana,

  • Heena M. Patel,

  • Parth M. Lakum,

  • Rohit R. Raval,

  1. Assistant Professor, Department of Mechanical Engineering, Atmiya University, Rajkot, Gujarat, India
  2. Assistant Professor, Department of Mechanical Engineering, Atmiya University, Rajkot, Guajrat, India
  3. Assistant Professor, Department of Mechanical Engineering, Atmiya University, Rajkot, Gujarat, India
  4. Assistant Professor, Department of Mechanical Engineering, Atmiya University, Rajkot, Gujarat, India

Abstract

Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and natural language processing. These technologies enable machines to learn from data, recognize patterns, and make decisions with minimal human intervention in mechanical engineering, AI is being increasingly integrated to solve complex problems, enhance accuracy, and improve efficiency. One significant application is in design and simulation, where AI-driven tools are used to generate optimized designs, reduce development time, and simulate real-world conditions with high precision. In smart manufacturing, AI is utilized to monitor production lines, predict equipment failures, and control robotic systems, leading to higher productivity and reduced downtime. AI-powered predictive maintenance is another critical area, where data from sensors and historical performance is analyzed to forecast failures before they occur, thereby saving costs and improving safety. Furthermore, AI contributes to quality control and inspection processes by automating defect detection using computer vision and machine learning algorithms. It also plays a crucial role in energy management and thermal systems, optimizing energy consumption in manufacturing systems and other industrial processes. The review also discusses the implementation of intelligent control systems in robotics and automation, enabling adaptive and responsive mechanical systems Overall, this study provides a detailed insight into how AI is not just an emerging trend but a vital tool in advancing the future of mechanical engineering. It serves as a guide for researchers, engineers, and students seeking to understand the impact and opportunities AI brings to this dynamic and evolving field.

Keywords: AI in mechanical engineering, artificial intelligence, machine learning

[This article belongs to Journal of Mechatronics and Automation ]

How to cite this article:
Rishabh D. Makwana, Heena M. Patel, Parth M. Lakum, Rohit R. Raval. Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review. Journal of Mechatronics and Automation. 2025; 12(03):30-35.
How to cite this URL:
Rishabh D. Makwana, Heena M. Patel, Parth M. Lakum, Rohit R. Raval. Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review. Journal of Mechatronics and Automation. 2025; 12(03):30-35. Available from: https://journals.stmjournals.com/joma/article=2025/view=234740


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 22/02/2025
Accepted 09/10/2025
Published 17/10/2025
Publication Time 237 Days
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