The Role of Artificial Intelligence in Advancing Mechanical Engineering: Opportunities, Challenges, and Emerging Applications in Applied Mechanics

DOI

10.2991/978-94-6463-982-7_21How to use a DOI?

Keywords

Artificial Intelligence; Mechanical Engineering; Applied Mechanics; Topology Optimization; Machine Learning; Neural Networks; Physics-Based Models

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool in mechanical engineering and applied mechanics, providing data-driven capabilities that complement classical numerical methods such as the Finite Element Method (FEM) and Computational Fluid Dynamics (CFD). This study provides a systematic review of AI applications across major mechanical domains, highlighting advances in topology optimization, dynamic modeling, fault detection, and predictive maintenance. It identifies key challenges, including data scarcity, interpretability, and integration with Multiphysics systems, and proposes a structured five-stage framework for embedding AI into mechanical research and industrial practice. The research demonstrates how hybrid approaches, such as Physics-Informed Neural Networks (PINNs), can integrate physical laws with data-based models to ensure accurate and physically consistent predictions. Additionally, it outlines future directions, including explainable AI, digital twin integration, and autonomous design, offering practical insights for designing intelligent, efficient, and adaptive engineering systems. Emerging Generative AI techniques will support autonomous mechanical design, enabling automated creation and optimization of components, materials, and structures. AI-driven modeling will play a vital role in sustainable engineering, optimizing energy consumption, material efficiency, and lifecycle performance.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mahmoud Fadhel Idan
PY  - 2025
DA  - 2025/12/29
TI  - The Role of Artificial Intelligence in Advancing Mechanical Engineering: Opportunities, Challenges, and Emerging Applications in Applied Mechanics
BT  - Proceedings of the  8th International Conference on Applied Engineering (ICAE 2025)
PB  - Atlantis Press
SP  - 350
EP  - 365
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-982-7_21
DO  - 10.2991/978-94-6463-982-7_21
ID  - Idan2025
ER  -