scholarly journals Synchronous and Asynchronous Requirements for Digital Twins Applications in Industry 4.0

2021 ◽  
Author(s):  
Rafael Vitor ◽  
Breno Keller ◽  
Débora Barbosa ◽  
Débora Diniz ◽  
Mateus Silva ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Digital Twins

scholarly journals Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

2021 ◽  
Vol 11 (7) ◽  
pp. 3186
Author(s):  
Radhya Sahal ◽  
Saeed H. Alsamhi ◽  
John G. Breslin ◽  
Kenneth N. Brown ◽  
Muhammad Intizar Ali
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Interaction Mechanism ◽  
Semantic Knowledge ◽  
Smart Manufacturing ◽  
Data Detection ◽  
Workflow Model ◽  
Digital Twins ◽  
Potential Failure ◽  
Operational Data

Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

scholarly journals Simulation von Cyber-Physischen Produktionssystemen in einer Forschungsinfrastruktur

2020 ◽  
Author(s):  
Iris Gräßler
Keyword(s):  
Communication Technology ◽  
Information Acquisition ◽  
Industry 4.0 ◽  
Production Control ◽  
Production Systems ◽  
General Concept ◽  
Radio Network ◽  
Systems Research ◽  
Digital Twins ◽  
Cyber Physical Production Systems

The article describes the setup of an experimentation and validation environment by extending a production laboratory: All relevant elements of the production laboratory were equipped with computer systems, so-called "industry 4.0 boxes", and interconnected via a peer-to-peer radio network. The "industry 4.0 boxes" are used to upgrade dedicated sensors for recording machine behaviour and communication technology to be integrated into decentralized production control. In addition, digital twins were implemented to map machine and user behaviour, enable control and support information acquisition and processing. Thereby, a research infrastructure is created for research on potentials of cyber-physical production systems. Research outcomes will be used as a decision basis for companies and for validation of production optimizations. This paper describes the concept and implementation of industry 4.0 functionalities and derives a general concept of simulation platforms for CPPS.

Digital twins in industry 4.0

2022 ◽  
pp. 277-316
Author(s):  
Panagiotis Stavropoulos ◽  
Dimitris Mourtzis
Keyword(s):  
Industry 4.0 ◽  
Digital Twins

scholarly journals Challenges and Potentials of Digital Twins and Industry 4.0 in Product Design and Production for High Performance Products

Procedia CIRP ◽  
2019 ◽  
Vol 84 ◽  
pp. 88-93 ◽  
Author(s):  
Raphael Wagner ◽  
Benjamin Schleich ◽  
Benjamin Haefner ◽  
Andreas Kuhnle ◽  
Sandro Wartzack ◽  
...  
Keyword(s):  
Product Design ◽  
Industry 4.0 ◽  
High Performance ◽  
Digital Twins ◽  
Design And Production

scholarly journals Digital Twins in Pharmaceutical and Biopharmaceutical Manufacturing: A Literature Review

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1088
Author(s):  
Yingjie Chen ◽  
Ou Yang ◽  
Chaitanya Sampat ◽  
Pooja Bhalode ◽  
Rohit Ramachandran ◽  
...  
Keyword(s):  
Pharmaceutical Industry ◽  
Literature Review ◽  
Industry 4.0 ◽  
Process Analytical Technology ◽  
Manufacturing Sector ◽  
Current Status ◽  
Future Research ◽  
Physical Systems ◽  
Digital Twins ◽  
Biopharmaceutical Manufacturing

The development and application of emerging technologies of Industry 4.0 enable the realization of digital twins (DT), which facilitates the transformation of the manufacturing sector to a more agile and intelligent one. DTs are virtual constructs of physical systems that mirror the behavior and dynamics of such physical systems. A fully developed DT consists of physical components, virtual components, and information communications between the two. Integrated DTs are being applied in various processes and product industries. Although the pharmaceutical industry has evolved recently to adopt Quality-by-Design (QbD) initiatives and is undergoing a paradigm shift of digitalization to embrace Industry 4.0, there has not been a full DT application in pharmaceutical manufacturing. Therefore, there is a critical need to examine the progress of the pharmaceutical industry towards implementing DT solutions. The aim of this narrative literature review is to give an overview of the current status of DT development and its application in pharmaceutical and biopharmaceutical manufacturing. State-of-the-art Process Analytical Technology (PAT) developments, process modeling approaches, and data integration studies are reviewed. Challenges and opportunities for future research in this field are also discussed.

scholarly journals Legal Considerations for Using Digital Twins in Additive Manufacture – A Review of the Literature

2021 ◽  
Author(s):  
Jenny Clementson ◽  
Jason Teng ◽  
Paul Wood ◽  
Chris Windmill
Keyword(s):  
Industry 4.0 ◽  
Data Privacy ◽  
Product Liability ◽  
Legal Issues ◽  
Additive Manufacture ◽  
Review Of The Literature ◽  
Digital Twins ◽  
New Business ◽  
And Control ◽  
Governance Arrangements

Rapid technological change presents new opportunities and reveals new risks, challenging existing governance arrangements. The fusion of Industry 4.0 technologies combines with Additive Manufacturing (AM) to create new business solutions. Legal issues with AM are well documented, for example Daly[1] explores the interaction of 3D printing with the law, identifying Intellectual Property, Product Liability and Data Privacy as areas of importance. However, this technology fusion has also enabled improved real-time digital representation, monitoring, simulation and control of the physical delivered through applications of Digital Twin. Such Digital Twins are prevalent in manufacturing and in AM can potentially provide assurance that a printed item meets specified requirements. However, additional legal considerations are emerging. This paper illustrates these by examining the attributes of “Digital Twins in Additive Manufacture Use Cases” revealed through literature.

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