Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology.
Intelligent Machining
This course is part of Digital Manufacturing & Design Technology Specialization
Instructor: Rahul Rai
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There are 4 modules in this course
The purpose of this module is to introduce the concepts related to intelligent machining paradigm. The key focus will be discussing two key components of intelligent machining, i.e., sensing and control.
What's included
4 videos4 readings4 assignments
The purpose of this module is to introduce spectrum of sensors used to implement intelligent machining. The module will also discuss the basics of signal processing and analysis techniques that has brought intelligent machining paradigm closer to industrial realization. Following issues pertaining to sensors and sensing techniques will be elaborated up: (1) Which sensors are to be used in each application? (2) How to acquire and process sensor signals?
What's included
4 videos3 readings5 assignments1 discussion prompt
The purpose of this module is to introduce the concept of Programmable Logic Controllers (PLCs) that co-ordinate the real-time control functions.
What's included
4 videos4 readings5 assignments
The purpose of this module is to introduce the background related to open architecture software systems to implement intelligent machining.
What's included
3 videos5 readings2 assignments1 discussion prompt
Instructor
Recommended if you're interested in Mechanical Engineering
University at Buffalo
University at Buffalo
University at Buffalo
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