scholarly journals Development of Virtual Emulation Modelling on the Reconfigurable Hot Forming Process and Its Digital Twin Implementation Perspectives

2021 ◽  
Author(s):  
Belal M. Aly ◽  
Kai Cheng
Keyword(s):  
Hot Forming ◽  
Forming Process ◽  
Digital Twin ◽  
Twin System ◽  
Physical Element ◽  
Digital Twins ◽  
Virtual Simulations ◽  
Physical Asset

In this paper, the development of virtual emulation modelling is presented on the reconfigurable hot forming process and its further implementation for the associated digital twins. When validating the developed Digital Twin system, it is essentially important to test the digital twin prior to its connection to a real physical asset especially from a safety and efficiency prospective. The development is focused on digital virtual emulation of the reconfigurable hot forming process, which can emulate the physical element as the means of validating the digital twin system with the throughout-digital virtual simulations and underlying results.

Demonstration of an Industrial Framework for an Implementation of a Process Digital Twin

2018 ◽  
Author(s):  
Jonathan M. Eyre ◽  
Tony J. Dodd ◽  
Chris Freeman ◽  
Richard Lanyon-Hogg ◽  
Aiden J. Lockwood ◽  
...  
Keyword(s):  
Discrete Event ◽  
Digital Twin ◽  
Event Simulation ◽  
Industrial Community ◽  
Digital Twins ◽  
Architectural Framework ◽  
Structured Information ◽  
Physical Asset ◽  
Additional Value ◽  
Plant Simulation

Digital twins have received a large amount of exposure around what they can offer to industry generating lots of noise, however there are few demonstrations utilizing published architectural frameworks. This has been addressed by investigating industrial publications and reports on what is the minimum essential requirements to form a digital twin and additional desirable features. From this, a generic industrial architectural framework of a digital twin has been established to utilize real-time information from a physical asset forming a monitoring digital twin. This has been expanded to incorporate a Discrete Event Simulation (DES) to form a process digital twin utilizing structured information about the process. The framework, including the DES extension, has been validated on a reconfigurable fixture utilizing an established process that has been modelled using Siemens Plant Simulation. This result forms the start of a feedback loop presenting additional value transforming a monitoring digital twin into a process digital twin. This provides a solid foundation for discussion within the industrial community about defining the core functionality required for digital twins.

scholarly journals An Enabling Open-Source Technology for Development and Prototyping of Production Systems by Applying Digital Twinning

Processes ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 21
Author(s):  
Robert Kazała ◽  
Sławomir Luściński ◽  
Paweł Strączyński ◽  
Albena Taneva
Keyword(s):  
Open Source ◽  
Production Systems ◽  
Communication Technologies ◽  
Digital Twin ◽  
Twin System ◽  
Digital Twins ◽  
First Choice ◽  
Automation And Control ◽  
And Control

This article presents the most valuable and applicable open-source tools and communication technologies that may be employed to create models of production processes by applying the concept of Digital Twins. In recent years, many open-source technologies, including tools and protocols, have been developed to create virtual models of production systems. The authors present the evolution and role of the Digital Twin concept as one of the key technologies for implementing the Industry 4.0 paradigm in automation and control. Based on the presented structured review of valuable open-source software dedicated to various phases and tasks that should be realised while creating the whole Digital Twin system, it was demonstrated that the available solutions cover all aspects. However, the dispersion, specialisation, and lack of integration cause this software to usually not be the first choice to implement DT. Therefore, to successfully create full-fledged models of Digital Twins by proceeding with proposed open-source solutions, it is necessary to make additional efforts due to integration requirements.

scholarly journals DIGITAL TWINS: COMBINED SURVEYING PRAXIS FOR MODELLING

2021 ◽  
Author(s):  
CECILIA MARIA BOLOGNESI ◽  
Martina Signorini
Keyword(s):  
Real Time ◽  
New Technologies ◽  
Significant Information ◽  
Existing Building ◽  
The Real ◽  
Digital Twin ◽  
Digital Twins ◽  
Time Component ◽  
Building Information ◽  
Physical Asset

While the construction sector embraces the digitalization, new technologies are spreading and are generating benefits. The need of creating a 3D model of the reality, in particular of the built asset, is not new. The Building Information Modelling, a process that gives a great contribution in improving project quality, reducing errors, avoiding uncertainties and enhancing collaboration, allows a virtual representation of the existing asset enriching its geometry with precious and significant information related to its properties. Despite BIM benefits, BIM models do not take into account the real-time component and do not report the real-time behaviour of the building. Digital twin, the virtual copy of an object, instead creates a real-time virtual twin of the physical asset considering this ingredient and reproducing how the building behaves. The paper starts right from the investigation of the Digital Twin concepts and its main features and proceeds with an analysis of several technologies and instruments exploited till now for the surveying and positioning of existing buildings. In addition, a new toolkit based on AR and coupled with sensors and visualisation tool developed by xxx, an ongoing H2020 project, is presented to show its main advantages when it comes to representing the virtual copy of an existing building.

scholarly journals Augmented reality and digital twin system for interaction with construction machinery

2021 ◽  
pp. 1-12
Author(s):  
Syed Mobeen Hasan ◽  
Kyuhyup Lee ◽  
Daeyoon Moon ◽  
Soonwook Kwon ◽  
Song Jinwoo ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Construction Machinery ◽  
Digital Twin ◽  
Twin System

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

Machine learning-based digital twins reduce seasonal remapping in aeroderivative gas turbines

2021 ◽  
pp. 1-7
Author(s):  
Nick Petro ◽  
Felipe Lopez
Keyword(s):  
Machine Learning ◽  
Ambient Temperature ◽  
Gas Turbines ◽  
Operating Conditions ◽  
Pilot Site ◽  
Digital Twin ◽  
Digital Twins ◽  
Machine Learning Model ◽  
Unacceptable Behavior ◽  
External Conditions

Abstract Aeroderivative gas turbines have their combustion set points adjusted periodically in a process known as remapping. Even turbines that perform well after remapping may produce unacceptable behavior when external conditions change. This article introduces a digital twin that uses real-time measurements of combustor acoustics and emissions in a machine learning model that tracks recent operating conditions. The digital twin is leveraged by an optimizer that select adjustments that allow the unit to maintain combustor dynamics and emissions in compliance without seasonal remapping. Results from a pilot site demonstrate that the proposed approach can allow a GE LM6000PD unit to operate for ten months without seasonal remapping while adjusting to changes in ambient temperature (4 - 38 °C) and to different fuel compositions.

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.

The Digital Twin of a System: A Structure for Networks of Digital Twins

2021 ◽  
Author(s):  
Leif- Thore Reiche ◽  
Claas Steffen Gundlach ◽  
Gian Frederik Mewes ◽  
Alexander Fay
Keyword(s):  
Digital Twin ◽  
System A ◽  
Digital Twins

High-Strength Steel Hot Forming Mechanics Performance and Characteristic Experimental Study

2016 ◽  
Vol 693 ◽  
pp. 800-806
Author(s):  
You Dan Guo
Keyword(s):  
Yield Strength ◽  
High Strength Steel ◽  
High Strength ◽  
High Energy ◽  
Absorption Capacity ◽  
Hot Forming ◽  
Gas Content ◽  
Strength Increase ◽  
Gradual Change ◽  
Forming Process

In high-strength steel hot forming, under the heating and quenching interaction, the material is oxidized and de-carbonized in the surface layer, forming a gradual change microstructure composed of ferrite, ferrite and martensite mixture and full martensite layers from surface to interior. The experiment enunciation: Form the table to ferrite, ferrite and martensite hybrid organization, completely martensite gradual change microstructure,and make the strength and rigidity of material one by one in order lower from inside to surface, ductility one by one in order increment in 22MnB5 for hot forming;Changes depends on the hot forming process temperature and the control of reheating furnace gas content protection, when oxygen levels of 5% protective gas, can better prevent oxidation and decarburization;Boron segregation in the grain boundary, solid solution strengthening, is a major cause of strength increase in ;The gradual change microstructure in outer big elongation properties, make the structure of the peak force is relatively flat, to reduce the peak impact force of structure, keep the structure of high energy absorption capacity;With lower temperature, the material yield strength rise rapidly,when the temperature is 650 °C, the yield strength at 950 °C was more than 3 times as much.

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