Robotics

CMR349: Digital Twin and Industry 5.0 syllabus for Robotics 2021 regulation (Professional Elective-V)

Digital Twin and Industry 5.0 detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Robotics & Automation Engineering 6th Sem scheme and its subjects, do visit Robotics 6th Sem 2021 regulation scheme. For Professional Elective-V scheme and its subjects refer to Robotics Professional Elective-V syllabus scheme. The detailed syllabus of digital twin and industry 5.0 is as follows.

Course Objectives:

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Unit I

INTRODUCTION 9
Digital twin – Definition, types of Industry and its key requirements, Importance, Application of Digital Twin in process, product, service industries, History of Digital Twin, DTT role in industry innovation, Technologies/tools enabling Digital Twin – Virtual CAD Models – control Parameters-Real time systems – control Parameters – Handshaking Through Internet – cyber physical systems

Unit II

DIGITAL TWIN IN A DISCRETE INDUSTRY 9
Basics of Discrete Industry, Trends in the discrete industry, control system requirements in a discrete industry, Digital Twin of a Product, Digital Thread in Discrete Industry, Data collection & analysis for product & production improvements, Automation simulation, Digital Enterprise

Unit III

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Unit IV

INDUSTRY 5.0 9
Industrial Revolutions, Industry 5.0 – Definition, principles, Application of Industry 5.0 in process & discrete industries, Benefits of Industry 5.0, challenges in Industry 5.0, Smart manufacturing, Internet of Things 5.0, Industrial Gateways, Basics of Communication requirements – cognitive systems 5.0

Unit V

ADVANTAGES OF DIGITAL TWIN 9
Improvement in product quality, production process, process Safety, identify bottlenecks and improve efficiency, achieve flexibility in production, continuous prediction and tuning of production process through Simulation, reducing the time to market.

Course Outcomes:

Upon successful completion of the course, students should be able to:

  1. Analyze the basics concepts in digital twin
  2. Recognize the concepts in digital twin in a discrete Industry
  3. Recognize the concepts in digital twin in a process Industry
  4. Obtain the knowledge in industry 5.0
  5. Apply the advantages in industry 5.0 with various applications

Text Books:

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Reference Books:

  1. Uthayan Elangovan, Industry 5.0: The Future of the Industrial Economy, CRC Press, 2022.
  2. Alasdair Gilchrist, “Industry 4.0: The Industrial Internet of Things”, Apress., United States ,2015.
  3. Christoph Jan Bartodziej, “The Concept Industry 4.0 an Empirical Analysis of Technologies and Applications in Production Logistics”, Springer Gambler., Germany, 2017.
  4. Ibrahim Garbie, “Sustainability in Manufacturing Enterprises, Concepts, analyses and assessments for Industry 4.0”, Springer., Switzerland, 2016.
  5. Ronald R. Yager and Jordan Pascual Espada, “New Advances in the Internet of Things”, Springer., Switzerland, 2018
  6. Ulrich Sendler, “The Internet of Things, Industries 4.0 Unleashed”, Springer., Germany, 2018

For detailed syllabus of all the other subjects of Robotics & Automation Engineering 6th Sem, visit Robotics 6th Sem subject syllabuses for 2021 regulation.

For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.

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