An Introduction to Artificial Intelligence in Mechanical Engineering

Abstract

Artificial Intelligence (AI) is rapidly transforming the field of mechanical engineering, enabling new capabilities in design, analysis, optimization, and control. This course series provides a comprehensive introduction to AI and machine learning techniques tailored for mechanical engineering applications.The series begins by covering the fundamental concepts and algorithms of machine learning, including supervised and unsupervised learning methods, neural networks, and deep learning architectures. Students will gain hands-on experience implementing these techniques using Python and industry-standard libraries.Subsequent courses explore the application of AI in various mechanical engineering domains. Topics include AI-driven design optimization, topology optimization using machine learning, predictive maintenance with deep learning, and intelligent control systems. Case studies and real-world examples will illustrate how AI can enhance product development, manufacturing processes, and system performance.Throughout the series, emphasis is placed on practical problem-solving skills and the ability to formulate and solve engineering problems using data-driven AI approaches. Students will learn best practices for data preprocessing, feature engineering, model selection, and model evaluation within the context of mechanical engineering tasks.By the end of this course series, students will be equipped with the knowledge and skills to leverage AI and machine learning techniques to drive innovation, improve efficiency, and create intelligent solutions in the rapidly evolving field of mechanical engineering. The series provides a solid foundation for further specialization and advanced study in AI applications for mechanical systems.