4.6
stars
1,312 ratings

Rahul Rai

24,925 already enrolled

Offered By

University at Buffalo

The State University of New York

University at Buffalo

About this Course

12,525 recent views

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. 
Learn how the integration of smart sensors and controls are helping to improve productivity. You’ll be exposed to various sensors and sensing techniques, process control strategies, and open architecture systems that can be leveraged to enable intelligent machining. This course will prepare you to contribute to the implementation of intelligent machining projects. 

Main concepts of this course will be delivered through lectures, readings, discussions and various videos. 

This is the fifth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,”  aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Beginner Level

Approx. 11 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.54/5 (268 Ratings)

Rahul Rai

Associate Professor

Mechanical and Aerospace Engineering

37,516 Learners

2 Courses

Offered by

University at Buffalo

The State University of New York

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Syllabus - What you will learn from this course

Content Rating96%(5,498 ratings)

Week

Week 1

3 hours to complete

Introduction to Intelligent Machining

3 hours to complete

4 videos (Total 17 min), 4 readings, 4 quizzes

4 videos

Introduction to Intelligent Machining3m

Machining Basics4m

The Evolution of Intelligent Machining6m

Components of Intelligent Machining3m

4 readings

Resources: Why Intelligent Machining30m

Acknowledgements10m

Resources: What Constitutes an Intelligent Machine?15m

Resources: Components of Intelligent Machining20m

4 practice exercises

Self-check10m

Self-check30m

Introduction to Intelligent Machining30m

Week

Week 2

2 hours to complete

Sensors and Sensing Techniques

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?

2 hours to complete

4 videos (Total 15 min), 3 readings, 5 quizzes

Week

Week 3

3 hours to complete

Process Control Strategies

3 hours to complete

4 videos (Total 18 min), 4 readings, 5 quizzes

4 videos

Programmable Logic Controllers (PLC)4m

Closed Loop Process Control Systems4m

Introduction to Adaptive Control5m

Commercially Available Software3m

4 readings

Resources: Introduction to Machining Process Control20m

Resources: Adaptive Control with Optimization10m

Resources: Machining Force Control10m

Resources: Manufacturing Process Control: Commonly Used Software15m

5 practice exercises

Self-check6m

Self-check30m

Self-check10m

Process Control Strategies30m

Week

Week 4

3 hours to complete

Future Directions in Advanced Machining

3 hours to complete

3 videos (Total 10 min), 5 readings, 2 quizzes

Reviews

4.6

275 reviews

5 stars
72.10%
4 stars
22.10%
3 stars
4.11%
2 stars
0.99%
1 star
0.68%

TOP REVIEWS FROM INTELLIGENT MACHINING

by KDJun 7, 2020

Very good and Interesting course Intelligent Machining .Gives you greatly overall knowledge about machining and manufacturing.

by EHJul 8, 2020

excellent course which gives us an brief idea about smart technology which is getting equipped by all industries around the globe

by KMMay 28, 2020

It was a good experience in their course which is very useful also give the information how the used of intelligent machining in industry

by SSMay 7, 2020

After doing this courses i have gathered a basic knowledge about the intelligent machining process how it works and what is the use of it .and lot of things

View all reviews

Frequently Asked Questions

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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Intelligent Machining

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