Digital twin
115521156
Digital twin driven product design framework
With the advent of new generation information technologies in industry and product design, the big data driven product design era has arrived. However, the big data driven product design mainly places emphasis on the analysis of physical data rather than the virtual models, in other words, the convergence between product physical and virtual space is usually absent. Digital twin, a new emerging and fast growing technology which connects the physical and virtual world, has attracted much attention worldwide recently. This paper presents a new method for product design based on the digital twin approach. The development of product design is briefly introduced first. The framework of digital twin driven product design (DTPD) is then proposed and analysed. A case is presented to illustrate the application of the proposed DTPD method.
Int. J. Prod. Res.
Fei Tao Fangyuan Sui Ang Liu Qinglin Qi Meng Zhang Boyang Song Zirong Guo Stephen C Y Lu Andrew Y C Nee
68170459
Digital Twin in Industry: State of the Art
Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry. It has been almost 15 years since the concept of the DT was initially proposed. To date, many DT applications have been successfully implemented in different industries, including product design, production, prognostics and health management, and some other fields. However, at present, no paper has focused on the review of DT applications in industry. In an effort to understand the development and application of DTs in industry, this paper thoroughly reviews the state of the art of the DT research concerning the key components of DTs, the current development of DTs, and the major DT applications in industry. This paper also outlines the current challenges and some possible directions for future work.
IEEE Transactions on Industrial Informatics
Fei Tao He Zhang Ang Liu Andrew Y C Nee
86548244
Leveraging Digital Twin Technology in Model Based Systems Engineering
Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model based system engineering (MBSE) A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter's performance, maintenance, and health status data throughout the physical system's life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.
Syst.
Azad M Madni Carla C Madni Scott D Lucero
165063591
Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry
Abstract Blockchain is becoming a widespread digital technology that allows every transaction to be tracked in an inviolable way, hence making it possible to go back through the entire history of products and product components. Its idiosyncratic characteristics can be especially useful in the aircraft industry, a highly technologically based sector, wherein manufacturers of components are governed by stringent technical standards, the aim of which is to certify and monitor the whole component production process. In addition, the sector makes significant use of additive manufacturing technologies to perform the rapid prototyping of product components, realized through the supply chain, hence reducing time to market, while ensuring quality and containing costs. Starting from these premises, the paper focuses on the phases characterizing the metal additive manufacturing process, in which a component for the aircraft industry can be produced and proposes a digital twin for additive manufacturing in the aircraft industry through the exploitation of Blockchain solutions. In doing so, the paper provides a conceptual answer to securing and organizing the data generated through an end to end additive manufacturing process in the aircraft industry and underlines how companies exploiting Blockchain can build secure and connected manufacturing infrastructure.
Comput. Ind.
Claudio Mandolla Antonio Messeni Petruzzelli Gianluca Percoco Andrea Urbinati
115805858
Defining a Digital Twin based Cyber Physical Production System for autonomous manufacturing in smart shop floors
Smart manufacturing is the core idea of the fourth industrial evolution. For a smart manufacturing shop floor, real time monitoring, simulation and prediction of manufacturing operations are vital to improve the production efficiency and flexibility. In this paper, the Cyber Physical System (CPS) and Digital Twin technologies are introduced to build the interconnection and interoperability of a physical shop floor and corresponding cybershop floor. A Digital Twin based Cyber Physical Production System (DT CPPS) is further established, and the configuring mechanism, operating mechanism and real time data driven operations control of DT CPPS are discussed in detail. It is expected that DT CPPS will provide the basis for shop floors to march towards smart manufacturing.
Int. J. Prod. Res.
Kai Ding Felix T S Chan Xudong Zhang Guanghui Zhou Fuqiang Zhang
67333956
Digital twin driven manufacturing cyber physical system for parallel controlling of smart workshop
With increasing diverse product demands, the manufacturing paradigm has been transformed into a mass individualized one, among which one bottleneck is to achieve the interoperability between physical world and the digital world of manufacturing system for the intelligent organizing of resources. This paper presents a digital twin driven manufacturing cyber physical system (MCPS) for parallel controlling of smart workshop under mass individualization paradigm. By establishing cyber physical connection via decentralized digital twin models, various manufacturing resources can be formed as dynamic autonomous system to co create personalized products. Clarification on the MCPS concept, characteristics, architecture, configuration, operating mechanism and key enabling technologies are elaborated, respectively. A demonstrative implementation of the digital twin driven parallel controlling of board type product smart manufacturing workshop is also presented. It addresses a bi level online intelligence in proactive decision making for the organization and operation of manufacturing resources.
J. Ambient Intell. Humaniz. Comput.
Jiewu Leng Hao Zhang Douxi Yan Qiang Liu Xin Chen Ding Zhang
116723457
Digital twin driven rapid individualised designing of automated flow shop manufacturing system
Under a mass individualisation paradigm, the individualised design of manufacturing systems is difficult as it involves adaptive integrating both new and legacy machines for the formation of part families with uncertainty. A systematic virtual model mirroring the real world of manufacturing system is essential to bridge the gap between its design and operation. This paper presents a digital twin driven methodology for rapid individualised designing of the automated flow shop manufacturing system. The digital twin merges physics based system modelling and distributed semi physical simulation to provide engineering solution analysis capabilities and generates an authoritative digital design of the system at pre production phase. An effective feedbacking of collected decision support information from the intelligent multi objective optimisation of the dynamic execution is presented to boost the applicability of the digital twin vision in the designing of AFMS. Finally, a bi level iterative coordination mechanism is proposed to achieve optimal design performance for required functions of AFMS. A case study is conducted to prove the feasibility and effectiveness of the proposed methodology.
Int. J. Prod. Res.
Qiang Liu Hao Zhang Jiewu Leng Xin Chen
116379551
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
ABSTRACT With significant advancement in information technologies, Digital Twin has gained increasing attention as it offers an enabling tool to realise digitally driven, cloud enabled manufacturing. Given the nonlinear dynamics and uncertainty involved during the process of machinery degradation, proper design and adaptability of a Digital Twin model remain a challenge. This paper presents a Digital Twin reference model for rotating machinery fault diagnosis. The requirements for constructing the Digital Twin model are discussed, and a model updating scheme based on parameter sensitivity analysis is proposed to enhance the model adaptability. Experimental data are collected from a rotor system that emulates an unbalance fault and its progression. The data are then input to a Digital Twin model of the rotor system to investigate its ability of unbalance quantification and localisation for fault diagnosis. The results show that the constructed Digital Twin rotor model enables accurate diagnosis and adaptive degradation analysis.
Int. J. Prod. Res.
Jinjiang Wang Lunkuan Ye Robert X Gao Chen Li Laibin Zhang
67868972
An application framework of digital twin and its case study
With the rapid development of virtual technology and data acquisition technology, digital twin (DT) technology was proposed and gradually become one of the key research directions of intelligent manufacturing. However, the research of DT for product life cycle management is still in the theoretical stage, the application framework and application methods are not clear, and the lack of referable application cases is also a problem. In this paper, the related research and application of DT technology are systematically studied. Then the concept and characteristics of DT are interpreted from both broad sense and narrow sense. On this basis, an application framework of DT for product lifecycle management is proposed. In physical space, the total elements information perception technology of production is discussed in detail. In the information processing layer, three main function modules, including data storage, data processing and data mapping, are constructed. In virtual space, this paper describes the implementation process of full parametric virtual modeling and the construction idea for DT application subsystems. At last, a DT case of a welding production line is built and studied. Meanwhile, the implementation scheme, application process and effect of this case are detail described to provide reference for enterprises.
J. Ambient Intell. Humaniz. Comput.
Yu Zheng Sen Yang Huanchong Cheng
208841049
Enabling technologies and tools for digital twin
Abstract Digital twin is revolutionizing industry. Fired by sensor updates and history data, the sophisticated models can mirror almost every facet of a product, process or service. In the future, everything in the physical world would be replicated in the digital space through digital twin technology. As a cutting edge technology, digital twin has received a lot of attention. However, digital twin is far from realizing their potential, which is a complex system and long drawn process. Researchers must model all the different parts of the objects or systems. Varied types of data needed to be collected and merged. Many researchers and participators in engineering are not clear which technologies and tools should be used. 5 dimension digital twin model provides reference guidance for understanding and implementing digital twin. From the perspective of 5 dimension digital twin model, this paper tries to investigate and summarize the frequently used enabling technologies and tools for digital twin to provide technologies and tools references for the applications of digital twin in the future.
Qinglin Qi Fei Tao Tianliang Hu Nabil Anwer Ang Liu Yongli Wei Lihui Wang Ay C Nee