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Past, present, and future research of digital twin for smart manufacturing

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2022)

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Article Engineering, Industrial

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

Chao Liu et al.

Summary: Metal Additive Manufacturing (AM) has gained attention due to its advantages, but the complex relationships limit its widespread use. To facilitate its development, this paper proposes a Digital Twin-enabled collaborative data management framework, which has been validated through practical implementation.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

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Article Computer Science, Interdisciplinary Applications

A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty

Peng Zheng et al.

Summary: This paper addresses the production scheduling problem in an assembly manufacturing system with uncertain processing time and random machine breakdown. A boosting radial basis function network is used to approximate the performance deviation, and a modified master-apprentice evolutionary algorithm is proposed for robust scheduling. Computational experiments show that the suggested method performs well in dealing with the problem under uncertainty.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2022)

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Article Engineering, Industrial

Digital twin and blockchain enhanced smart manufacturing service collaboration and management

Fei Tao et al.

Summary: With the development of information technologies, the Industrial Internet platform based manufacturing service collaboration has become the main method for manufacturing collaboration. However, distrust between stakeholders and the platform, as well as the inability of static information encapsulated manufacturing services to adapt to changing physical conditions, hinder its development. This paper proposes a DT-BC enhanced manufacturing service collaboration mechanism to solve the trust and data accuracy issues.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

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Article Engineering, Industrial

An online community-based dynamic customisation model: the trade-off between customer satisfaction and enterprise profit

Yu Wang et al.

Summary: This paper focuses on the challenges faced by mass customisation, proposing a dynamic customisation model based on online communities. It aims to solve the trade-off between customer satisfaction and enterprise profit, exploring different production matching modes and utilizing genetic algorithm for model solution. The study also includes a case study to validate the proposed model.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)

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Article Engineering, Industrial

Enabling technologies and tools for digital twin

Qinglin Qi et al.

Summary: Digital twin is revolutionizing industry by mirroring almost every facet of a product, process or service in the digital space. However, realizing their full potential is a complex process as researchers need to model different parts of objects or systems, collect and merge varied types of data, and struggle with determining the technologies and tools to be used. The 5-dimension digital twin model provides guidance for understanding and implementing digital twin technologies.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Digital Twin Enhanced Dynamic Job-Shop Scheduling

Meng Zhang et al.

Summary: This paper discusses how digital twin technology can be used for machine availability prediction, disturbance detection, and performance evaluation in dynamic scheduling of job-shop operations. A methodology for DT-enhanced dynamic scheduling is proposed, and a case study on producing hydraulic valves in a machining job-shop demonstrates the effectiveness and advantages of the approach.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Digital twin-based smart assembly process design and application framework for complex products and its case study

Yang Yi et al.

Summary: This paper introduces a digital twin reference model for smart assembly process design and proposes an application framework for DT-based smart assembly with three layers: physical space layer, interaction layer, and virtual space layer. The working mechanisms of assembly process planning, simulation, predication, and control management are discussed in detail. The effectiveness of the proposed approach is verified through a case study of an experimental simplified satellite assembly case using the DT-based assembly application system (DT-AAS).

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Digital twin modeling method based on biomimicry for machining aerospace components

Shimin Liu et al.

Summary: High-performance aerospace component manufacturing requires strict quality control, and Digital Twin technology can be used to optimize machining strategies. A Digital Twin modeling method based on biomimicry principles was proposed to adaptively construct a multi-physics Digital Twin of the machining process.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Modeling and implementation of a digital twin of material flows based on physics simulation

Moritz Glatt et al.

Summary: Cyber-physical production systems enhance adaptivity and flexibility in manufacturing customized products in small batches, but complex material flows can lead to physically induced disturbances. Applying a physics engine to simulate physical interactions and connecting digital models to real systems for simulation-based decision support introduces the concept of digital twins, which have versatile advantages in manufacturing systems but are underutilized in practical applications outside the machine tool domain.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

Kaishu Xia et al.

Summary: The paper proposes a data-driven approach to automate smart manufacturing systems by utilizing digital twin and Deep Reinforcement Learning. It demonstrates the integration of smart agents into industrial platforms to expand the usage of system-level digital twin and improve the digital transformation of the manufacturing industry. The study highlights the potential of combining data science and manufacturing industries through the DRL approach to automated manufacturing control problems.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Digital twin-based assembly data management and process traceability for complex products

Cunbo Zhuang et al.

Summary: This paper discusses how digital twin method can be used for assembly data management and process traceability of complex products, including analysis of the dynamic evolutionary process of assembly data and establishment of a framework for digital twin as well as core techniques. The proposed approach has been applied and verified in aerospace-related assembly enterprises.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

A digital twin-based flexible cellular manufacturing for optimization of air conditioner line

Hongfei Guo et al.

Summary: To address coupling issues in production lines, a flexible cellular manufacturing optimization method based on digital twin was proposed. The method utilizes event mechanisms and multi-objective optimization to achieve decoupling, resulting in significant improvements in production efficiency when implemented in an air conditioner assembly line.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Digital twin-based industrial cloud robotics: Framework, control approach and implementation

Wenjun Xu et al.

Summary: This paper introduces the application of digital twin technology in the field of industrial cloud robotics, encapsulating robot control capabilities as cloud services and implementing fine sensing control of physical manufacturing systems using digital twin technology. This technology is capable of synchronizing and merging digital models with physical robots to achieve accurate control, and it has flexibility and scalability by utilizing ontology models.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Industrial

Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework

Shanghua Mi et al.

Summary: Predictive maintenance is essential for ensuring and improving normal industrial production, and a framework involving cooperative awareness and interconnection across multiple organizations has been proposed to address existing bottlenecks in its popularization and application. By integrating digital twin and establishing a comprehensive mathematical programming model, this framework enables higher accuracy and reliability in predictive maintenance decision-making.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Engineering, Manufacturing

In-process monitoring of part geometry in fused filament fabrication using computer vision and digital twins

M. Moretti et al.

Summary: Optical imaging technology plays a crucial role in fused filament fabrication processes, and by utilizing digital twins, it can enhance image resolution and interpretation capabilities, effectively monitoring and correcting issues in manufacturing processes.

ADDITIVE MANUFACTURING (2021)

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Article Computer Science, Artificial Intelligence

Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

Shohin Aheleroff et al.

Summary: Recent findings show that Digital Twin can provide services to multiple stakeholders, but a sophisticated reference architecture, suitable technologies, and a proper business model are needed. Most studies in the field focus on manufacturing, while empirical research on the relationship between Digital Twin and mass individualization is lacking. The study aims to identify suitable Industry 4.0 technologies and a comprehensive reference architecture model for challenging Digital Twin applications, indicating a significant relationship between Digital Twin capabilities as a service and mass individualization.

ADVANCED ENGINEERING INFORMATICS (2021)

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Editorial Material Engineering, Industrial

Digital twin towards smart manufacturing and industr y 4.0

Fei Tao et al.

JOURNAL OF MANUFACTURING SYSTEMS (2021)

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Article Computer Science, Interdisciplinary Applications

Middleware for providing activity-driven assistance in cyber-physical production systems

Hitesh Dhiman et al.

Summary: This paper introduces MiWSICx, a middleware that combines multiple interactive computing devices to provide crossdevice industrial assistance. Based on activity theory, it models human work activities combining multiple users, artifacts, and cyber-physical objects, using the actor model for deployment on various hardware to provide multiuser, crossdevice, multiactivity assistance within CPPSs.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2021)

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Article Automation & Control Systems

Digital twin-based cyber-physical system for automotive body production lines

Yoo Ho Son et al.

Summary: The study proposes a digital twin-based cyber-physical system for predicting the feasibility of production plans in automotive body production lines, which was experimentally verified to achieve an average prediction performance of 94.02% for actual production plans. This system provides an advanced solution for predicting production feasibility in automotive manufacturing.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2021)

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Review Computer Science, Interdisciplinary Applications

Digital twin paradigm: A systematic literature review

Concetta Semeraro et al.

Summary: Manufacturing enterprises are facing the challenge of aligning themselves with new information technologies (IT) and responding to variable market demand. The key enabler of the IT revolution towards Smart Manufacturing is the digital twin (DT), which constantly synchronizes a virtual image with the real operating scenario to provide sound information for making decisions. This study aims to provide an overview of the main components of DT, their features, and interaction problems, while tracing ongoing research and technical challenges in conceiving and building DTs in different application domains and related technologies.

COMPUTERS IN INDUSTRY (2021)

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Article Computer Science, Interdisciplinary Applications

3D reconstruction of as-built model of plant piping system from point clouds and port information

Inhwan Dennis Lee et al.

Summary: This study proposes a reconstruction method for the as-built model of plant piping by registering a fitting model to point clouds and considering the alignment of the port direction with connected pipelines. By adjusting the nozzle points of connected pipelines based on the information, the registered fitting's port point becomes a better estimate of the connection point compared to the detected pipeline's nozzle point.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2021)

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Article Engineering, Industrial

Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing

Guanghui Zhou et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

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Article Automation & Control Systems

Digital twin-based cyber physical production system architectural framework for personalized production

Kyu Tae Park et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

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Article Computer Science, Interdisciplinary Applications

The framework design of smart factory in discrete manufacturing industry based on cyber-physical system

Gaige Chen et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2020)

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Article Engineering, Industrial

Digital twin of composite assembly manufacturing process

Wilma Polini et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)

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Article Computer Science, Artificial Intelligence

A six-layer architecture for the digital twin: a manufacturing case study implementation

A. J. H. Redelinghuys et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

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Article Computer Science, Artificial Intelligence

The architecture development of Industry 4.0 compliant smart machine tool system (SMTS)

Byeongwoo Jeon et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

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Review Computer Science, Interdisciplinary Applications

Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

Yuqian Lu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Computer Science, Interdisciplinary Applications

A digital twin-driven approach for the assembly-commissioning of high precision products

Sun Xuemin et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Computer Science, Interdisciplinary Applications

A proactive material handling method for CPS enabled shop-floor

Wenbo Wang et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Chemistry, Analytical

Towards Digital Twin Implementation for Assessing Production Line Performance and Balancing

Marcello Fera et al.

SENSORS (2020)

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Article Engineering, Industrial

Transformation of robotic workcells to digital twins

Gabor Erdos et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2020)

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Article Engineering, Mechanical

Digital twin based condition monitoring of a knuckle boom crane: An experimental study

Torbjorn Moi et al.

ENGINEERING FAILURE ANALYSIS (2020)

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Article Automation & Control Systems

Digital twin: current scenario and a case study on a manufacturing process

Rohan Basu Roy et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

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Article Automation & Control Systems

A molecular dynamics based digital twin for ultrafast laser material removal processes

Panagiotis Stavropoulos et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

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Article Chemistry, Multidisciplinary

Programming of Industrial Robots Using Virtual Reality and Digital Twins

Andrzej Burghardt et al.

APPLIED SCIENCES-BASEL (2020)

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Article Computer Science, Interdisciplinary Applications

Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

Kosmas Alexopoulos et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2020)

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Article Computer Science, Interdisciplinary Applications

DT-II:Digital twin enhanced Industrial Internet reference framework towards smart manufacturing

Jiangfeng Cheng et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Green & Sustainable Science & Technology

Operation Procedures of a Work-Center-Level Digital Twin for Sustainable and Smart Manufacturing

Kyu Tae Park et al.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY (2020)

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Article Chemistry, Multidisciplinary

Digital Twin and Virtual Reality Based Methodology for Multi-Robot Manufacturing Cell Commissioning

Luis Perez et al.

APPLIED SCIENCES-BASEL (2020)

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Article Engineering, Marine

Towards Marine Dual Fuel Engines Digital Twins-Integrated Modelling of Thermodynamic Processes and Control System Functions

Sokratis Stoumpos et al.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2020)

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Article Automation & Control Systems

Digital Twin of manufacturing systems: a case study on increasing the efficiency of reconfiguration

Behrang Ashtari Talkhestani et al.

AT-AUTOMATISIERUNGSTECHNIK (2020)

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Article Chemistry, Multidisciplinary

Design Methodology for Rehabilitation Robots: Application in an Exoskeleton for Upper Limb Rehabilitation

Giorgio Mackenzie Cruz Martinez et al.

APPLIED SCIENCES-BASEL (2020)

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Article Computer Science, Interdisciplinary Applications

A method to improve workers' well-being toward human-centered connected factories

Alessandra Papetti et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2020)

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Article Engineering, Industrial

MES-integrated digital twin frameworks

Elisa Negri et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

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Article Engineering, Mechanical

Simulation of compensated tool path through virtual robot machining model

Nikola Slavkovic et al.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2020)

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Article Energy & Fuels

Digital Luminaire Design Using LED Digital Twins-Accuracy and Reduced Computation Time: A Delphi4LED Methodology

Marc van der Schans et al.

ENERGIES (2020)

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Article Computer Science, Interdisciplinary Applications

Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands

Daqiang Guo et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Computer Science, Interdisciplinary Applications

Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model

Leng Jiewu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Computer Science, Interdisciplinary Applications

Web-based digital twin modeling and remote control of cyber-physical production systems

Chao Liu et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Automation & Control Systems

Chatter model for enabling a digital twin in machining

Shukri Afazov et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

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Article Automation & Control Systems

A digital twin-driven production management system for production workshop

Jun Ma et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

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Article Computer Science, Interdisciplinary Applications

A Cloud-based Digital Twin Manufacturing System based on an Interoperable Data Schema for Smart Manufacturing

Yangho Park et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2020)

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Article Engineering, Industrial

A digital twin-enhanced system for engineering product family design and optimization

Kendrik Yan Hong Lim et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

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Article Computer Science, Interdisciplinary Applications

A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin

Weichao Luo et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)

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Article Chemistry, Analytical

Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul

John Oyekan et al.

SENSORS (2020)

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Article Chemistry, Multidisciplinary

Implementation of Digital Twin for Engine Block Manufacturing Processes

Roman Bambura et al.

APPLIED SCIENCES-BASEL (2020)

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Article Construction & Building Technology

Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking

Gang Yu et al.

ADVANCES IN CIVIL ENGINEERING (2020)

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Article Engineering, Manufacturing

Digital twin-driven 3D visualization monitoring and traceability system for general parts in continuous casting machine

Zhoupeng Han et al.

JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING (2020)

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Article Engineering, Industrial

Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

Qiyue Wang et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

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Article Engineering, Manufacturing

A Digital Twin-Driven Approach for On-line Controlling Quality of Marine Diesel Engine Critical Parts

De-Jun Cheng et al.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING (2020)

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Review Computer Science, Interdisciplinary Applications

A review of smart manufacturing reference models based on the skeleton meta-model

Soonhung Han

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2020)

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Article Computer Science, Interdisciplinary Applications

Systematic analysis of needs and requirements for the design of smart manufacturing systems in SMEs

Erwin Rauch et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2020)

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Review Computer Science, Interdisciplinary Applications

A critical review of symbiosis approaches in the context of Industry 4.0

Martina Scafa et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2020)

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Article Computer Science, Information Systems

The Modeling and Using Strategy for the Digital Twin in Process Planning

Peng Zhao et al.

IEEE ACCESS (2020)

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Article Computer Science, Information Systems

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Adil Rasheed et al.

IEEE ACCESS (2020)

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Article Automation & Control Systems

New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics

Fei Tao et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)

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Article Engineering, Industrial

Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system

Qiang Liu et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

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Article Computer Science, Interdisciplinary Applications

Service-oriented platform for smart operation of dyeing and finishing industry

Kyu Tae Park et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2019)

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Article Engineering, Industrial

Digital twin driven human-robot collaborative assembly

Arne Bilberg et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2019)

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Article Engineering, Industrial

Creation of helicopter dynamic systems digital twin using multibody simulations

D. Guivarch et al.

CIRP ANNALS-MANUFACTURING TECHNOLOGY (2019)

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Article Computer Science, Interdisciplinary Applications

Design and implementation of a digital twin application for a connected micro smart factory

Kyu Tae Park et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2019)

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Article Engineering, Industrial

A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

Chao Liu et al.

JOURNAL OF MANUFACTURING SYSTEMS (2019)

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Article Automation & Control Systems

An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System

Behrang Ashtari Talkhestani et al.

AT-AUTOMATISIERUNGSTECHNIK (2019)

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Article Energy & Fuels

Luminaire Digital Design Flow with Multi-Domain Digital Twins of LEDs

Genevieve Martin et al.

ENERGIES (2019)

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Article Computer Science, Interdisciplinary Applications

The use of Digital Twin for predictive maintenance in manufacturing

P. Aivaliotis et al.

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2019)

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Article Automation & Control Systems

Digital twin-based process reuse and evaluation approach for smart process planning

Jinfeng Liu et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2019)

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Article Engineering, Industrial

Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors

Kai Ding et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

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Article Engineering, Manufacturing

A Digital Twin for Grinding Wheel: An Information Sharing Platform for Sustainable Grinding Process

Kalpana Kannan et al.

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2019)

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Article Automation & Control Systems

Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing

Yilin Fang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)

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Article Computer Science, Information Systems

Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin

Jinfeng Liu et al.

IEEE ACCESS (2019)

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Article Computer Science, Information Systems

Digital Twin-Driven Cyber-Physical System for Autonomously Controlling of Micro Punching System

Rongli Zhao et al.

IEEE ACCESS (2019)

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Review Computer Science, Interdisciplinary Applications

The state of framework development for implementing reasoning mechanisms in smart cyber-physical systems: A literature review

Sirasak Tepjit et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2019)

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Article Computer Science, Interdisciplinary Applications

Maintenance in aeronautics in an Industry 4.0 context: The role of Augmented Reality and Additive Manufacturing

Alessandro Ceruti et al.

JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING (2019)

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Proceedings Paper Automation & Control Systems

Visualisation of the Digital Twin data in manufacturing by using Augmented Reality

Zexuan Zhu et al.

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) (2019)

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Article Engineering, Electrical & Electronic

Application of IoT-Aided Simulation to Manufacturing Systems in Cyber-Physical System

Yifei Tan et al.

MACHINES (2019)

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Proceedings Paper Computer Science, Hardware & Architecture

Digital Twin in Industry 4.0: Technologies, Applications and Challenges

Flavia Pires et al.

2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) (2019)

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Article Engineering, Mechanical

Designing optimal automatic cycles of round grinding based on the synthesis of digital twin technologies and dynamic programming method

Pavel P. Pereverzev et al.

MECHANICAL SCIENCES (2019)

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Article Engineering, Industrial

Digital twin and virtual reality: a co-simulation environment for design and assessment of industrial workstations

Vincent Havard et al.

PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL (2019)

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Article Computer Science, Information Systems

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications

Barbara Rita Barricelli et al.

IEEE ACCESS (2019)

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Article Multidisciplinary Sciences

Synchronizing physical factory and its digital twin through an IIoT middleware: a case study

Vladimir Kuts et al.

PROCEEDINGS OF THE ESTONIAN ACADEMY OF SCIENCES (2019)

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Proceedings Paper Automation & Control Systems

Integration of automatic generated simulation models, machine control projects and management tools to support whole life cycle of industrial digital twins

J. Garrido et al.

IFAC PAPERSONLINE (2019)

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Article Computer Science, Interdisciplinary Applications

Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study

Matti Yli-Ojanpera et al.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2019)

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Article Engineering, Multidisciplinary

Design and Implementation of Runtime Verification Framework for Cyber-Physical Production Systems

Sungjoo Kang et al.

JOURNAL OF ENGINEERING (2019)

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Article Computer Science, Information Systems

Digital Twins for Highly Customized Electronic Devices - Case Study on a Rework Operation

Rafal Cupek et al.

IEEE ACCESS (2019)

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Article Automation & Control Systems

Digital twin-driven product design, manufacturing and service with big data

Fei Tao et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

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Article Engineering, Industrial

Smart manufacturing

Andrew Kusiak

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)

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Article Engineering, Industrial

Digital twin driven prognostics and health management for complex equipment

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