Application of Artificial Intelligence in Mechanical Engineering Design and Manufacturing: Enhancing Efficiency, Precision, and Automation through Intelligent Technologies

Abstract

Artificial Intelligence (AI) has increasingly influenced mechanical engineering by optimizing design processes, predictive maintenance, and automation in manufacturing. This paper examines how AI-driven tools, including Machine Learning (ML) algorithms, neural networks, and digital twins, are transforming traditional mechanical engineering ethodologies. AI applications in fault detection, real-time process control, and robotics integration are analyzed to determine their efficiency and reliability. Furthermore, challenges such as computational complexity, data security, and the skill gap in AI adoption within the mechanical sector are explored. By  providing case studies on AI implementation in aerospace, automotive, and precision manufacturing, this paper highlights the profound impact of AI on modern mechanical engineering.

Keywords: Artificial Intelligence, Machine Learning, Mechanical Engineering, Predictive Maintenance, Digital Twins