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
이 강좌는 Digital Manufacturing & Design Technology 전문 분야의 일부입니다.
Intelligent Machining
제공자:
- Technical Solutions Engineers
- Operations Analysts
- Machine Learning Engineers
- Engineers
- Account Managers
강의 계획 - 이 강좌에서 배울 내용
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.
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?
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.
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.
Intelligent Machining의 최상위 리뷰
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.
강사
Rahul Rai
Associate Professor뉴욕주립대학교 버펄로 캠퍼스 정보
뉴욕주립대학교 정보
Digital Manufacturing & Design Technology 전문 분야 정보
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