Course

DIGITAL TWINS: Industrial Revolutions. Digital Twins: Definition, Types of Industry & its Requirements, Characteristics of Digital Twins, Importance, benefits, Impact, and Challenges. Conceptual design methodology of digital twins, Five-dimensional digital twins for the product, Application of Digital Twins in process, product, service industries, History of Digital Twins, Digital Transformation role in industry innovation, Technologies/tools enabling Digital Twins.

DESIGN OF DIGITAL TWINS: Design of Digital Twins: Technological needs. Physics-based approach: Model identification, Model creation. Data-driven approach: Model development using ML/DL models. Digital twins for Prototype, Product, and Performance. Digital Twins validation.

DIGITAL TWINS IN THE DISCRETE INDUSTRY: Discrete Industry: Trends in the Discrete Industry, control system requirements in a Discrete Industry, Digital Twins of a Product, Digital Thread in Discrete Industry, Data Collection & Analysis for Product & production improvements, Automation Simulation, and Digital Enterprise.

DIGITAL TWINS IN THE PROCESS INDUSTRY: Process Industry: Basics of Process Industry, Trends in the process industry, control system requirements in a process industry, Digital Twins of a plant, Digital Thread in process Industry, Data collection & Analysis for process improvements, process safety, Automation simulation, and Digital Enterprise.

APPLICATIONS OF DIGITAL TWINS: Improvement in product quality, production process, process Safety, identifying bottlenecks and Improve efficiency, achieve flexibility in production, continuous prediction, and tuning of the production process through Simulation, reducing the time to market.

Suggested Lab Sessions:

·         Exercise on Model development using MATLAB Simulink, Simscape

·         Exercise on Model identification using MATLAB – System Identification

·         Model development using Simscape

·         Fault Diagnosis of rotating elements using Digital Twins

·         Parameter tuning of Digital Twins

·         Digital Twins for fan speed control system

·         Develop Predictive Models using Digital Twins

·         Estimate the remaining useful life using Digital Twin

Course Outcomes:

CO1: Introduce the concept of Digital Twins in manufacturing the industry.

CO2: Acquire knowledge of Digital Twins and their importance.

CO3: Design Digital Twins for discrete and process industries.

CO4: Analyze the performance of Digital Twins.

CO5: Discover the advantages and applications of Digital Twins.

Textbooks / References:

1.       Alp Ustundag and Emre Cevikcan, “Industry 4.0: Managing The Digital Transformation”, Springer Series in Advanced Manufacturing., Switzerland, 2017.

2.       Andrew Yeh Chris Nee, Fei Tao, and Meng Zhang, “Digital Twin Driven Smart Manufacturing”, Elsevier Science., United States, 2019.

3.       Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs, “Building Industrial Digital Twins Design, Develop, and Deploy Digital Twin Solutions for Real-world Industries Using Azure Digital Twins”, Packt Publishing, 2021.