Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing | springerprofessional.de

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2022 | Buch

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Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

verfasst von: Prof. Dr. Surjya Kanta Pal, Debasish Mishra, Dr. Arpan Pal, Prof. Dr. Samik Dutta, Prof. Dr. Debashish Chakravarty, Dr. Srikanta Pal

Verlag: Springer International Publishing

Buchreihe : Springer Series in Advanced Manufacturing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry.

Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing.

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Inhaltsverzeichnis

Frontmatter

Chapter 1. Evolution of Manufacturing and Its Journey Towards Digital Twin

Abstract

This chapter sets the prologue of industrial revolutions, starting from the first to the fourth. It aims at making the readers aware of the transformations happened so far.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 2. Sensor Electronics for Digital Twin

Abstract

For building a digital twin, sensors and associated electronic components will be at the core as they would sense and gather necessary information from the physical machine.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 3. Signal Processing for Digital Twin

Abstract

The previous chapter discussed the importance and role of sensors in manufacturing. With the data in hand, one needs to process it for extracting meaningful information.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 4. Image Processing for Digital Twin

Abstract

Improvement of product quality by reducing downtime is the ultimate aim in manufacturing. The product quality can be monitored from the process signals or images acquired at the time of manufacturing. For example, in machining, damage or wear of cutting tool causes degradation in product quality. This damage or wear can be monitored from the process signals such as force, acoustic emission, power, vibration etc. acquired during machining.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 5. Data Communication-Edge, Fog, and Cloud Computing

Abstract

Industry 4.0 is aimed at connecting the machine, materials, and other infrastructure through data collected from the sensors. The data acquired from the sensors will be utilised to monitor, diagnose, predict, control, optimize plant operations, etc. Because the number of connected devices is going to be huge, the amount of data will also be large.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 6. Artificial Intelligence and Machine Learning in Manufacturing

Abstract

The diagnosis of manufacturing processes and systems, prediction of machine health for corrective measures are mainly achieved through various machine learning techniques. In the previous chapters, discussions were held around the signal and image processing techniques, using which meaningful information was gathered from the raw data. The results are validated by correlating with the experiments.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Chapter 7. Digital Twin Application

Abstract

This chapter introduces the concept of digital twin in details. The explanations given in Chap. 1 about building a digital twin model are revisited and the ideas are elaborated. Digital twins proposed in different routes of manufacturing are also discussed.

Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Titel: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
verfasst von: Prof. Dr. Surjya Kanta Pal
Debasish Mishra
Dr. Arpan Pal
Prof. Dr. Samik Dutta
Prof. Dr. Debashish Chakravarty
Dr. Srikanta Pal
Copyright-Jahr: 2022
Verlag: Springer International Publishing
Electronic ISBN: 978-3-030-81815-9
Print ISBN: 978-3-030-81814-2
DOI: https://doi.org/10.1007/978-3-030-81815-9

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