scholarly journals Heterogeneous Communication Middleware for Digital Twin Based Cyber Manufacturing Systems

2019 ◽  
pp. 146-157 ◽  
Author(s):  
Pascal André ◽  
Fawzi Azzi ◽  
Olivier Cardin
Keyword(s):  
Manufacturing Systems ◽  
Digital Twin ◽  
Communication Middleware

scholarly journals Reconfigurable Manufacturing Systems Characteristics in Digital Twin Context

2020 ◽  
Vol 53 (2) ◽  
pp. 10585-10590
Author(s):  
J. Tang ◽  
C. Emmanouilidis ◽  
K. Salonitis
Keyword(s):  
Manufacturing Systems ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Digital Twin

Reale Daten für Simulationen im digitalen Zwilling*/Real data for simulation in the digital twin -Study on how to record Profinet data and reproduce them in complex simulation environments

2019 ◽  
Vol 109 (09) ◽  
pp. 662-666
Author(s):  
M. Chemnitz ◽  
O. Heimann ◽  
A. Vick
Keyword(s):  
Twin Study ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Real Data ◽  
Control Data ◽  
Cause Analysis ◽  
Digital Twin ◽  
Root Cause ◽  
Complex Simulation ◽  
Complex Manufacturing Systems

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.

Collaborative Platform for Remote Manufacturing Systems Using Industrial Internet and Digital Twin in the COVID-19 Era

2021 ◽  
Author(s):  
Jay Lee ◽  
Xiaodong Jia ◽  
Qibo Yang ◽  
Keyi Sun ◽  
Xiang Li
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
The Real ◽  
Digital Twin ◽  
Manufacturing Efficiency ◽  
Industrial Internet ◽  
Industrial Operations ◽  
Promising Solution ◽  
Technology Group ◽  
Collaborative Platform

Abstract In the wake of COVID-19, significant influence on the manufacturing industries has been observed in the past year due to the restrictions of in-person communications and interactions. As a consequence, manufacturing efficiency has reduced remarkably all over the world. Despite the great harm to the industrial operations under the pandemic, the opportunities for remote collaborative manufacturing system also arise. Effective and efficient remote manufacturing systems for the real industries have been highly demanded. Through the integration of industrial internet and digital twin systems, the remote manufacturing system can be largely facilitated. This paper proposes a general framework for the remote manufacturing system during the COVID-19 era. The concept of the intelligent collaborative remote manufacturing system is firstly reviewed, as well as discussions of the current pandemic situation and its influence on the industries. The current commercial platforms of the systems are also presented. A case study on the lighthouse factories at the Foxconn Technology Group is finally presented for understanding the implementation of the proposed strategy. The effectiveness of the framework has been validated in the real industrial scenarios, and great economic and operational benefits have been obtained. The proposed framework offers a promising solution for the remote manufacturing system under the current pandemic.

scholarly journals Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems

2020 ◽  
Author(s):  
Chao Liu ◽  
Léopold Le Roux ◽  
Carolin Körner ◽  
Olivier Tabaste ◽  
Franck Lacan ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Data Management ◽  
Manufacturing Systems ◽  
Metal Additive Manufacturing ◽  
Digital Twin ◽  
Metal Additive

A Digital Twin Concept for Manufacturing Systems

2018 ◽  
Author(s):  
Wesley Ellgass ◽  
Nathan Holt ◽  
Hector Saldana-Lemus ◽  
Julian Richmond ◽  
Ali Vatankhah Barenji ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Virtual Space ◽  
Smart Manufacturing ◽  
Shop Floor ◽  
Digital Twin ◽  
Physical Resources ◽  
Virtual Resources

With the developments and applications of the advanced information technologies such as cloud computing, internet of thing, artificial intelligence and virtual reality, industry 4.0 and smart manufacturing era are coming. In this respect, one of the specific challenges is to achieve a connection of physical resources on the shop floor with virtual resources, for real-time response, real time process optimization, and simulation, which is merged by big data problem. In this respect, Digital Twins (DT) concept is introduced as a key technology, which includes physical resources, virtual resources, service system, and digital twin data. DT considers current condition of physical resource and prediction of future events to make a responsive decision. However, due to the complexity of building a digital equivalent in virtual space to its physical counterpart, very little applications have been developed with this purpose, especially in the industrial manufacturing area. Therefore, the types of data and technology required to build the DT for a manufacturing system are presented in this work, trying to develop a framework of DT based manufacturing system, which is supported by the virtual reality for virtualization of physical resources.

scholarly journals Virtual commissioning of automated manufacturing systems — Quality-handling station case study

2021 ◽  
Vol 343 ◽  
pp. 04002
Author(s):  
Richard Skýpala ◽  
Roman Ružarovský
Keyword(s):  
Production System ◽  
Manufacturing Systems ◽  
Control Program ◽  
Simulation Software ◽  
Second Phase ◽  
Automated Manufacturing Systems ◽  
Digital Twin ◽  
Virtual Commissioning ◽  
Systems Quality ◽  
Plc Program

The aim of the contribution is to create an event-controlled simulation of an automated production system using selected simulation software according to analyses and creation PLC control program compatible with human-machine control interface (HMI) visualization. The programmer can test the control program without the need for additional hardware on a virtual model of the machine. This method is called as a Virtual Commissioning method. The question is whether these new digital technologies are beneficial in the development process of new machines. The theoretical part of the contribution deals with the evaluation of the current state of knowledge in the field of virtual commissioning systems from the perspective of the Industry 4.0 concept and the use of principles taken from the technology of digital twins for analysing the possibilities of productive support of simulation, programming and visualization of control. For the Virtual Commissioning of the Quality-handling station from a flexible production system. It was chosen Tecnomatix Process simulating software for the developing of the Digital Twin of the station that is suitable for the connection of the logical behaviour inputs and outputs of the Digital Twin to the PLCSIM emulator. The main goal is to create a functional PLC program, so that in the second phase the process of virtual commissioning can be tested by the Software-the-Loop method. The preparation of the simulation model consists in a sample of the control station model of the production system, the process of creating kinematic bonds, behaviour model, creating control signals in the Tecnomatix Process Simulate program. Programming procedure and acquaintance with control means in the Simatic Manager program, selection of communication interface and creation of control visualization. In the final work, validation is performed and evaluation supports the objectives and the results confirmed the benefits of the Virtual Commissioning tool.

scholarly journals Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra

2019 ◽  
Vol 11 (18) ◽  
pp. 5036 ◽  
Author(s):  
Junfeng Wang ◽  
Yaqin Huang ◽  
Qing Chang ◽  
Shiqi Li
Keyword(s):  
Energy Saving ◽  
Energy Efficient ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Production Data ◽  
Physical Systems ◽  
Digital Twin ◽  
Saving Decisions ◽  
Efficient Manufacturing ◽  
Energy Efficient Manufacturing

Energy-efficient manufacturing is an important aspect of sustainable development in current society. The rapid development of sensing technologies can collect real-time production data from shop floors, which provides more opportunities for making energy saving decisions about manufacturing systems. In this paper, a digital twin-based bidirectional operation framework is proposed to realize energy-efficient manufacturing systems. The data view, model view, and service view of a digital twin manufacturing system are formulated to describe the physical systems in virtual space, to perform simulation analysis, to make decisions, and to control the physical systems for various energy-saving purposes. For online energy-saving decisions about machines in serial manufacturing systems, an event-driven estimation method of an energy-saving window based on Max-plus Algebra is presented to put the target machine to sleep, considering real-time production data of a system segment. A practical, simplified automotive production line is used to illustrate the effectiveness of the proposed method by simulation experiments. Our method has no restriction on machine failure mode and predefined parameters for energy-saving decision of machines. The proposed approach has potential use in synchronous and asynchronous manufacturing systems.

Self-Organizing Manufacturing Systems in Industry 4.0

2021 ◽  
pp. 346-363
Author(s):  
Blaž Rodič
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Simulation Modelling ◽  
Physical World ◽  
Self Organization ◽  
Digital Twin ◽  
Twin Model ◽  
Decision Making System ◽  
Novel Concept ◽  
Self Organizing

This chapter presents the evolution of simulation modelling methodology in the context of the Industry 4.0 paradigm and the development of autonomous, self-organizing manufacturing systems. Such a system is managed by a decision-making system that uses a detailed model of the factory, known as the “digital twin” to monitor and control the manufacturing process and test possible process reorganization scenarios. To allow self-organization within the physical world, the “digital twin” model must itself be self-organizing. That means that the structure of the simulation model can be constructed from process data, which is a novel concept, called data-driven modelling. As self-organization leads to the reorganization of existing elements and their relationships within a system, we can treat such manufacturing systems as autopoietic. The chapter introduces the Industry 4.0 paradigm and its background and presents the main self-organizing manufacturing concepts, and the state of technology supporting these concepts.

Sign in / Sign up

Export Citation Format

Share Document