Digital Manufacturing

ID: MEGR 7090/8090 - 003

Long Title: Topics in Mechanical Engineer: Digital Manufacturing

College: William State Lee College of Engineering

Department: Mechanical Engineering & Engineering Science

Semester: Fall 2023 

Course Level: Undergraduate and Graduate

Credits: 3

Description: 

Digital manufacturing is an integrated manufacturing approach that leverages computer-based technologies to enhance the efficiency of manufacturing operations and to improve the quality of products and services. As an integrated approach it links systems and processes across all areas, from design to production and on the maintenance and support of the end products. Examples of such computer-based technologies are: Internet of Things (IoT), Big Data, Artificial Intelligence, Machine Learning, Augmented Reality, Cloud Computing, Advanced Robotics, Additive Manufacturing, and Digital Twin. Digital Manufacturing technologies contributes for the fourth industrial revolution also be called Industry 4.0.

This course on Digital Manufacturing provides students with the opportunity to acquire the fundamental knowledge of computer-based technologies used in manufacturing, and to prepare them for the implementation of such technologies in the industry. Therefore, the students will be better prepared to address the present and future manufacturing challenges, thus to be succeed in today's competitive business market.

Objectives: 

 By the end of this course, the student will be able to:

• Described the fundamentals of computer-based technologies used in advanced manufacturing
• Identify the potential applications and challenges of these technologies in manufacturing.
• Utilize some of these technologies (IoT, modeling and simulation, and Augmented Reality) in the perspective of design and implementation of future Digital Twin/Shadows in manufacturing.

Contents: 

• Introduction, definitions and historical perspective
• (Industrial) Internet of Things (IIoT)
• Big Data
• Manufacturing processes modeling, and simulation
• Artificial Intelligence and Machine Learning
• Immersive Technologies (AR/VR/MR) in Manufacturing
• Digital Twin and Digital Shadows
• Advanced Manufacturing
• Cloud Computing
• Cyber Security in Manufacturing

The course is available on Canvas.