MAK307

School of Engineering \ Mechanical Engineering

3

6

Compulsory

English

MAK218

Mechanical Engineering

Introduction of Design and Manufacturing, Review of Processes. Attributes of Manufactured Products, Material Removal Processes: Theory of Metal Machining, Machining Operations and Machine Tools. Cutting Tool Technology. Metal Forming and Sheet Metalworking: Fundamentals, Bulk Deformation Processes, Sheet Metalworking. Math Foundations for AI, Machine Learning Basics. Artificial lntelligence in Design and Manufacturing. Industry 4.0 and Smart Manufacturing.

M. P. Groover, ‘Fundamentals of Modern Manufacturing’,(5th version), Prentice Hall Int., New Jersey, 1996, ISBN: 0-13-312182-8.
Z. Liu, Artificial Intelligence for Engineers: Basics and Implementations, Springer, University of Virginia, Charlottesville, VA, USA, ISBN: 978-3-031-75952-9.
Aurélien Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems, 3rd Ed., O’Reilly, ISBN: 978-1-098-12597-4.

This course aims to present traditional and modern manufacturing methods with an integrated understanding. It also introduces Artificial Intelligence (AI) techniques applied to manufacturing systems. Students will explore the fundamental principles of design and manufacturing processes, metalworking operations and machine tools, cutting tool technology, industrial automation and control systems, the basic concepts of AI, and the applications of machine learning in predicting manufacturing parameters.

1. Identify the fundamental principles of design and manufacturing processes
2. Explain the theory of metal machining and metal forming
3. Compare basic machining and forming operations and machine tools
4. Perform basic engineering calculations related to machining and metal forming processes, and design components or parts suitable for these manufacturing methods
5. Define core AI concepts and the relevant mathematical foundations
6. Apply machine learning algorithms to predict manufacturing parameters and implement AI-based estimation methods in manufacturing

Week 1: Introduction of Design and Manufacluring, Review of processes
Week 2: Attributes of Manufactured products
Week 3: Material Removal Processes, Part- l Theory of Metal Machining
Week 4: Material Removal Processes, Part-2 Machining Operations and Machine Tools
Week 5: Material Removal Processes. Part-3 Cutting Tool Technology
Week 6: Metal Forming and Sheet Metalworking, Part-l Fundamentals
Week 7: Metal Forming and Sheet Metalworking, Part-2 Bulk Deformation processes
Week 8: Metal Forming and Sheet Metalworking, Part-3 Sheet Metalworking
Week 9: Math Foundations for AI, Machine Leaming Basics
Week 10: Artificial Intelligence in Design and Manufacturing
Week 11: lndustry 4.0 and Smart Manufacturing
Week 12: Artifi cial Intelligence Project Presentations

Lab
Midterm
Project
Final