關於此課程：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
此課程適用人群：This course is for anyone interested in how digital advances are changing the landscape and capabilities of manufacturing, from high school graduates exploring careers to operations managers and business owners hungry for an understanding of the newest manufacturing technologies.
製作方： University at Buffalo, 纽约州立大学纽约州立大学
教學方： Rahul Rai, Associate Professor
Mechanical and Aerospace Engineering
| 基本信息 | |
| 級別 | 初級 |
| 承諾學習時間 | 4 weeks of study, 3 ½ hours per week |
| 語言 | 英語（English） |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 4 個閱讀材料, 3 個練習測驗
- 視頻: Machining Basics
- Reading: Resources: Why Intelligent Machining
- 練習問題: Self-check
- Reading: Acknowledgements
- 視頻: The Evolution of Intelligent Machining
- Reading: Resources: What Constitutes an Intelligent Machine?
- 練習問題: Self-check
- 視頻: Components of Intelligent Machining
- Reading: Resources: Components of Intelligent Machining
- 練習問題: Self-check
已評分: Introduction to Intelligent Machining
第 2 週
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 個視頻, 3 個閱讀材料, 4 個練習測驗
- Reading: Resources: Types of Sensors
- 練習問題: Self-check
- 視頻: Signal Processing
- Reading: Resources: Signal Processing
- 練習問題: Self-check
- 視頻: Transforming Data into Information
- Reading: Resources: Machine Learning: Setting the Context
- 練習問題: Self-check
- 視頻: Practical Uses of Machine Learning
- 練習問題: Self-check
- Discussion Prompt: Let's talk robotics!
已評分: Sensors and Sensing Techniques
第 3 週
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 個視頻, 4 個閱讀材料, 4 個練習測驗
- Reading: Resources: Introduction to Machining Process Control
- 練習問題: Self-check
- 視頻: Closed Loop Process Control Systems
- Reading: Resources: Adaptive Control with Optimization
- 練習問題: Self-check
- 視頻: Introduction to Adaptive Control
- Reading: Resources: Machining Force Control
- 練習問題: Self-check
- 視頻: Commercially Available Software
- Reading: Resources: Manufacturing Process Control: Commonly Used Software
- 練習問題: Self-check
已評分: Process Control Strategies
第 4 週
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 個視頻, 5 個閱讀材料, 1 個練習測驗
- Reading: Resources: Future Directions in Advanced Machining
- 練習問題: Self-check
- 視頻: Tech Talk on Metrology
- 視頻: Your 4.0 Roadmap to Success
- Reading: Your 4.0 Roadmap to Success -- Resources
- Reading: Your Roadmap Project: Step 5
- Discussion Prompt: Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology
- Reading: Intelligent Machining- Key Takeaways
- Reading: Intelligent Machining- Course References
已評分: Future Directions
常見問題解答
運作方式
コースワーク
各コースは、インタラクティブな教科書のようなもので、事前に作成された動画、テスト、プロジェクトが備わっています。
他の受講生からの支援
他の数千もの受講生とつながり、アイデアやコース教材について検討し、 コンセプトの理解を深めます。
修了証
仕事に関する公式な認定を取得して、達成したことを友人、同僚、雇用主と共有してください。
製作方
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.
纽约州立大学纽约州立大学
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
this course has been an amazing journey, it has given me a perspective of how automation and digital manufacturing would become the ultimate form of production.
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.
Provides a comprehensive dive into the state and utility of IM.
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.