Digital Twins: Tools and Concepts for Smart Biomanufacturing

Digital twins are virtual representations of bioprocesses that reflect their mechanistics and interactions, allowing for improved process understanding, testing, and monitoring. This book provides an overview of their mathematical structure, development, and applications, making it an ideal introduction for researchers in academia and industry.

Format: Paperback / softback
Length: 262 pages
Publication date: 27 April 2022
Publisher: Springer Nature Switzerland AG

The utilization of digital twins has emerged as a highly promising tool in the realm of bioprocess design and optimization, offering a comprehensive overview of the latest advancements in this field. Over the past few decades, both processes have undergone significant transformations, transitioning from data-driven approaches to the digitalization of the bioprocess industry. Moreover, the growing demand for biotechnological products has necessitated the development of efficient methods for research, development, tech transfer, and routine manufacturing.

In this context, the use of digital twins has gained significant attention, as they provide a virtual representation of the bioprocess. These digital replicas accurately capture the mechanistic aspects of the biological system and the intricate interactions between process parameters, key performance indicators, and product quality attributes. By leveraging the power of computer-aided methods, digital twins enable us to gain a deeper understanding of the process, test and optimize novel bioprocesses, and effectively monitor them.

This book serves as a comprehensive resource, providing an in-depth explanation of the mathematical structure of digital twins, their development, and the various components of their models. It also delves into concepts for the knowledge-driven generation and structural variability of digital twins, covering both fundamental principles and practical applications.

Designed to cater to researchers from both academia and industry, the two volumes of this book offer an ideal introduction to the topic. They cover a wide range of topics, from the fundamentals of digital twins to their applications in various bioprocessing sectors, making it an invaluable resource for anyone seeking to stay updated with the latest developments in this field.

Weight: 421g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030716622
Edition number: 1st ed. 2021