Accelerate your Career with a Master of Engineering in Design and Manufacturing
The objectives of this course are to develop a basic understanding of machine intelligence and explore modern tools in designing intelligent manufacturing systems. Through the lectures, on-site visit, reading assignments, and course project(s) the participants will examine how knowledge-based systems (KBSs) and learning systems can effectively improve the performance of machine tools, work cells, and overall manufacturing enterprises.
Course Leader: George Knopf, Western Engineering
Intelligent Manufacturing involves a variety of software technologies and novel flexible fabrication processes that enable efficient and cost effective automation for small, medium and large-scale discrete product manufacturing. These advanced technologies provide opportunities and introduce challenges to traditional product development engineers, system designers, and manufacturing personnel. The first module will focus on intelligent systems in manufacturing and the application of artificial intelligence on improving product design, system control, process planning and fault diagnostics. The second module will explore automated fabrication and manufacturing processes that have emerged because of advances in software and computing hardware. These processes include flexible robotic assemble, 3D printing, printed electronics and laser microfabrication.
The objectives of this course are to develop a basic understanding of machine intelligence and explore modern intelligent manufacturing systems. At the end of the course, each student should be able to:
Each student is expected to attend all sessions and participate fully in all discussions, assignments and projects. Active participation is critical because a significant portion of class time has been allocated towards group discussions and assignments. The individual class participation grade will be based, in large part, upon the student’s demonstrated knowledge and in-class remarks.
Note: Module I will conclude at 12:00pm.
Midterm project report (group) and preparation of presentation on the implementation of an AI technique (KBS, FL, ANN) for an engineering design or manufacturing application.
Final project report (individual) and supplementary material on an advanced fabrication technology or automated system that improves the efficiency or enhances an identified manufacturing process. The completed project is to be electronically transmitted to the course instructor within 3 weeks of the last lecture in Module 2.
George Knopf is a Professor in the Department of Mechanical and Materials Engineering at Western University. His research interests include bioelectronics, biosensors, laser material processing, and micro-optical transducers. Dr. Knopf’s current work involves the development of conductive graphene-based inks and novel fabrication processes for printing electronic circuitry on a variety of mechanically flexible substrates (polymers, paper, silk). He has acted as a technical reviewer for numerous academic journals, conferences, and granting agencies and has co-chaired several international conferences. In recent years, he has also co-edited two books entitled “Smart Biosensor Technology” and “Optical Nano and Micro Actuator Technology.