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
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Digital Manufacturing & Design Technology
Intelligent Machining
4.6
(150 ratings)
3,753 bereits angemeldet!
von
University at Buffalo
The State University of New York
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
12 Stunden zum Abschließen
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 Videos (Gesamt 17 min), 4 Lektüren, 4 Quiz
4 Videos
Machining Basics4m
The Evolution of Intelligent Machining6m
Components of Intelligent Machining3m
4 Lektüren
Resources: Why Intelligent Machining30m
Acknowledgements10m
Resources: What Constitutes an Intelligent Machine?15m
Resources: Components of Intelligent Machining20m
4 praktische Übungen
Self-check10m
Self-check6m
Self-check6m
Introduction to Intelligent Machining30m
Woche
22 Stunden zum Abschließen
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 Videos (Gesamt 15 min), 3 Lektüren, 5 Quiz
4 Videos
Sensors4m
Signal Processing2m
Transforming Data into Information4m
Practical Uses of Machine Learning2m
3 Lektüren
Resources: Types of Sensors15m
Resources: Signal Processing15m
Resources: Machine Learning: Setting the Context20m
5 praktische Übungen
Self-check6m
Self-check6m
Self-check6m
Self-check6m
Sensors and Sensing Techniques30m
Woche
32 Stunden zum Abschließen
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 Videos (Gesamt 18 min), 4 Lektüren, 5 Quiz
4 Videos
Closed Loop Process Control Systems4m
Introduction to Adaptive Control5m
Commercially Available Software3m
4 Lektüren
Resources: Introduction to Machining Process Control20m
Resources: Adaptive Control with Optimization10m
Resources: Machining Force Control10m
Resources: Manufacturing Process Control: Commonly Used Software15m
5 praktische Übungen
Self-check6m
Self-check6m
Self-check2m
Self-check10m
Process Control Strategies30m
Woche
43 Stunden zum Abschließen
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 Videos (Gesamt 10 min), 5 Lektüren, 2 Quiz
5 Lektüren
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 praktische Übungen
Self-check20m
Future Directions30m
Top-Bewertungen
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.
Dozent
Rahul Rai
Associate ProfessorMechanical and Aerospace Engineering
Über 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.
Über 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.
Über die Spezialisierung 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
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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