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.
Offered By
University at Buffalo
The State University of New York
University at BuffaloAbout this Course
128,520 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 9 hours to complete
English
Subtitles: English
Offered by
University at Buffalo
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
The State University of New York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
Syllabus - What you will learn from this course
2 hours to complete
Introduction to Intelligent Machining
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.
2 hours to complete
4 videos (Total 17 min), 4 readings, 4 quizzes
4 videos
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-check6m
Self-check6m
Introduction to Intelligent Machining30m
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
4 videos
Sensors4m
Signal Processing2m
Transforming Data into Information4m
Practical Uses of Machine Learning2m
3 readings
Resources: Types of Sensors15m
Resources: Signal Processing15m
Resources: Machine Learning: Setting the Context20m
5 practice exercises
Self-check6m
Self-check6m
Self-check6m
Self-check6m
Sensors and Sensing Techniques30m
2 hours to complete
Process Control Strategies
The purpose of this module is to introduce the concept of Programmable Logic Controllers (PLCs) that co-ordinate the real-time control functions.
2 hours to complete
4 videos (Total 18 min), 4 readings, 5 quizzes
4 videos
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-check6m
Self-check2m
Self-check10m
Process Control Strategies30m
3 hours to complete
Future Directions in Advanced Machining
The purpose of this module is to introduce the background related to open architecture software systems to implement intelligent machining.
3 hours to complete
3 videos (Total 10 min), 5 readings, 2 quizzes
5 readings
Resources: Future Directions in Advanced Machining15m
Your 4.0 Roadmap to Success -- Resources10m
Your Roadmap Project: Step 530m
Intelligent Machining- Key Takeaways15m
Intelligent Machining- Course References10m
2 practice exercises
Self-check20m
Future Directions30m
Reviews
TOP REVIEWS FROM INTELLIGENT MACHINING
by AMay 31, 2020
being a mechanical engineer it is very much helpful for me. it reflects the idea of using intelligent machining in industries in order to improve the quality and increase the productivity of firm.
by SCSep 13, 2018
Great course with good insights on industry 4.0 and the methods of implementation in our current industries. Also, erudite professors who explain the concepts lucidly are really worth mentioning.
by OSOct 14, 2018
It was a great course for anyone who wants to know generally about Intelligent Machine but just need a little bit more to get deeper in details with intelligent machining and industrial work.
by DMay 25, 2020
Intelligent Machining my review is Good learning for future and new technologies are deep learning. Thank you coursera for important information information with quarantine life.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- 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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.
More questions? Visit the Learner Help Center.
