Courses Detail Information
ME6801J – Manufacturing Processes and Systems
Instructors:
Credits: 3 credits
Pre-requisites: Statistical Methods
Description:
This course aims to introduce students the modeling and analysis methods in modern manufacturing processes and systems as well as the fundamental concepts and technologies in smart manufacturing. Topics covered include:
(1) Modeling & analysis of manufacturing processes, including solidification, deformation (elastic & plastic), material removal and joining, and additive manufacturing.
(2) Modeling & analysis of manufacturing systems, including building blocks of manufacturing systems, quality control, economic models and optimization of manufacturing systems, lean manufacturing.
(3) Fundamentals of smart manufacturing system, including Internet of Things (IOT), Cyber-Physical Systems (CPS), predictive maintenance, digital twins, cloud manufacturing, smart factory.
Course Topics:
“
Course introduction, Overview of engineering materials
Casting
Machining
Sheet Metalworking, Forging and Extrusion
Polymer shaping processes
Processing of composites, Powder metallurgy
Finishing, joining, and assembly
Additive manufacturing
Manufacturing Cost, Overview of manufacturing systems
Variability in Manufacturing
Toyota Production System, Just-In Time, lean manufacturing
Sustainable Manufacturing, Quality control statistics
Quality control Statistics, Stochastic Process Control
Stochastic Process Control
Introduction to Smart manufacturing system
Sensors, actuators, industrial robotics, AGV
Internet of Things (IOT), Industrial IOT
Industrial big data
Predictive Maintenance
Virtual Reality and Augmented Reality
Digital twins, cloud manufacturing”