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
Этот курс входит в специализацию ''Специализация Digital Manufacturing & Design Technology '
Intelligent Machining
от партнера
Университет штата Нью-Йорк в Баффало
Университет штата Нью-Йорк
Программа курса: что вы изучите
Неделя
12 ч. на завершение
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.
4 видео ((всего 17 мин.)), 4 материалов для самостоятельного изучения, 4 тестов
4 видео
Machining Basics4мин
The Evolution of Intelligent Machining6мин
Components of Intelligent Machining3мин
4 материала для самостоятельного изучения
Resources: Why Intelligent Machining30мин
Acknowledgements10мин
Resources: What Constitutes an Intelligent Machine?15мин
Resources: Components of Intelligent Machining20мин
4 практического упражнения
Self-check10мин
Self-check6мин
Self-check6мин
Introduction to Intelligent Machining30мин
Неделя
22 ч. на завершение
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?
4 видео ((всего 15 мин.)), 3 материалов для самостоятельного изучения, 5 тестов
4 видео
Sensors4мин
Signal Processing2мин
Transforming Data into Information4мин
Practical Uses of Machine Learning2мин
3 материала для самостоятельного изучения
Resources: Types of Sensors15мин
Resources: Signal Processing15мин
Resources: Machine Learning: Setting the Context20мин
5 практического упражнения
Self-check6мин
Self-check6мин
Self-check6мин
Self-check6мин
Sensors and Sensing Techniques30мин
Неделя
32 ч. на завершение
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.
4 видео ((всего 18 мин.)), 4 материалов для самостоятельного изучения, 5 тестов
4 видео
Closed Loop Process Control Systems4мин
Introduction to Adaptive Control5мин
Commercially Available Software3мин
4 материала для самостоятельного изучения
Resources: Introduction to Machining Process Control20мин
Resources: Adaptive Control with Optimization10мин
Resources: Machining Force Control10мин
Resources: Manufacturing Process Control: Commonly Used Software15мин
5 практического упражнения
Self-check6мин
Self-check6мин
Self-check2мин
Self-check10мин
Process Control Strategies30мин
Неделя
43 ч. на завершение
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 видео ((всего 10 мин.)), 5 материалов для самостоятельного изучения, 2 тестов
3 видео
Tech Talk on Metrology5мин
Your 4.0 Roadmap to Success1мин
5 материала для самостоятельного изучения
Resources: Future Directions in Advanced Machining15мин
Your 4.0 Roadmap to Success -- Resources10мин
Your Roadmap Project: Step 530мин
Intelligent Machining- Key Takeaways15мин
Intelligent Machining- Course References10мин
2 практического упражнения
Self-check20мин
Future Directions30мин
4.6
Рецензии: 21Лучшие рецензии
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.
Thank you for giving me excellent information on digital manufacturing. It is very helpful course for me. Thank you The State University of New York and Coursera.
Преподаватели
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
О Университет штата Нью-Йорк в Баффало
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.
О Университет штата Нью-Йорк
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.
О специализации ''Digital Manufacturing & Design Technology '
Whether you’re a high school graduate exploring manufacturing careers, or an operations manager hungry for an understanding of the newest manufacturing technologies, this specialization will provide a foundation in how digital advances are changing the landscape and capabilities of factories. Nine courses – developed with input from the manufacturing industry – touch on Industry 4.0 and its components, including digital manufacturing and design practices, the concept of the digital thread, the Internet of Things and Big Data. 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
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