A Referenced Cyber Physical System for Compressor Manufacturing

Compressor is a typical high-end discrete product，with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordination from three aspects of compressor design, production, operation and maintenance. The platform includes industrial Internet infrastructure layer, physical space entity model layer, virtual space multidimensional model layer, physical space and virtual space multidimensional model correlation and mapping layer, big data intelligent analysis decision-making layer, and digital twin application layer. Through the establishment of the compressor product design and simulation model of digital twin, compressor production process digital twin model, compressor fault diagnosis and remote operations digital twin model, implementation is based on the number of compressor collaboration in manufacturing industrial Internet platform twin system, leading the transformation and upgrading of intelligent manufacturing industry, compressor industry sustainable development ability and international competitiveness.

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Construction of Intelligent Integrated Model Framework for the Workshop Manufacturing System Via Digital Twin

10.21203/rs.3.rs-554403/v1 ◽

2021 ◽

Author(s):

Zhongyu Zhang ◽

Zhenjie Zhu ◽

Jinsheng Zhang ◽

Jingkun Wang

Keyword(s):

Real Time ◽

Production System ◽

Manufacturing System ◽

System Optimization ◽

Production Cycle ◽

Model Framework ◽

The Real ◽

Digital Twin ◽

Twin Model ◽

Information Layer

Abstract With the drastic development of the globally advanced manufacturing industry, transition of the original production pattern from traditional industries to advanced intelligence is completed with the least delay possible, which are still facing new challenges. Because the timeliness, stability and reliability of them is significantly restricted due to lack of the real-time communication. Therefore, an intelligent workshop manufacturing system model framework based on digital twin is proposed in this paper, driving the deep inform integration among the physical entity, data collection, and information decision-making. The conceptual and obscure of the traditional digital twin is refined, optimized, and upgraded on the basis of the four-dimension collaborative model thinking. A refined nine-layer intelligent digital twin model framework is established. Firstly, the physical evaluation is refined into entity layer, auxiliary layer and interface layer, scientifically managing the physical resources as well as the operation and maintenance of the instrument, and coordinating the overall system. Secondly, dividing the data evaluation into the data layer and the processing layer can greatly improve the flexible response-ability and ensure the synchronization of the real-time data. Finally, the system evaluation is subdivided into information layer, algorithm layer, scheduling layer, and functional layer, developing flexible manufacturing plan more reasonably, shortening production cycle, and reducing logistics cost. Simultaneously, combining SLP and artificial bee colony are applied to investigate the production system optimization of the textile workshop. The results indicate that the production efficiency of the optimized production system is increased by 34.46%.

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

Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability ◽

10.1115/msec2021-64237 ◽

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.

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A Digital Twin Concept for Manufacturing Systems

Volume 2: Advanced Manufacturing ◽

10.1115/imece2018-87737 ◽

2018 ◽

Cited By ~ 1

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.

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Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

Advances in Civil Engineering ◽

10.1155/2021/6640198 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Zhansheng Liu ◽

Antong Jiang ◽

Anshan Zhang ◽

Zezhong Xing ◽

Xiuli Du

Keyword(s):

Steel Structure ◽

Virtual Space ◽

Safety Risk ◽

Digital Twin ◽

Whole Process ◽

Twin Model ◽

Operation And Maintenance ◽

Maintenance Stage ◽

Prestressed Steel Structure ◽

Whole Life Cycle

The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.

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Toward digital validation for rapid product development based on digital twin: a framework

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-08475-4 ◽

2022 ◽

Author(s):

Sihan Huang ◽

Guoxin Wang ◽

Dong Lei ◽

Yan Yan

Keyword(s):

Product Development ◽

Manufacturing System ◽

New Product ◽

Virtual Manufacturing ◽

Virtual Space ◽

Smart Manufacturing ◽

Digital Twin ◽

Design Scheme ◽

Rapid Product Development ◽

Digital Prototype

AbstractProduct development should cover product design, validation, and manufacturing. In traditional product development, physical validation based on physical trial manufacturing is the key step to confirm the design scheme before physical manufacturing. However, physical validation is costly and inefficient, which could be the main obstacle to achieving rapid product development. The emergence of digital twin provides an opportunity to accelerate product development by eliminating physical validation toward digital validation in the smart manufacturing era. Therefore, a framework of rapid product development based on digital twin is proposed in this paper. During product development, the new product is designed according to the new requirements in the virtual space, in which the existing digital twins of products can be referenced. Then, an ultrahigh-fidelity virtual manufacturing system is constructed for digital trial manufacturing based on the digital twin of the manufacturing system and the design scheme of the new product. An ultrahigh-fidelity digital prototype can be obtained from digital trial manufacturing for digital validation. The new product validation is executed on the digital prototype to test its performance. The digital validation results can be used to improve the design scheme of the new product and boost the corresponding manufacturing processes. In addition, the core characteristics and key technologies of rapid product development based on digital twin are discussed. Finally, a case study is presented to implement the proposed framework and to show the effectiveness of accelerating product development.

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Towards a shape-performance integrated digital twin for lumbar spine analysis

Digital Twin ◽

10.12688/digitaltwin.17478.1 ◽

2021 ◽

Vol 1 ◽

pp. 8

Author(s):

Xiwang He ◽

Yiming Qiu ◽

Xiaonan Lai ◽

Zhonghai Li ◽

Liming Shu ◽

...

Keyword(s):

Lumbar Spine ◽

Real Time ◽

Body Movement ◽

Physical Space ◽

Gaussian Process Regression ◽

Human Movement ◽

The Body ◽

Virtual Space ◽

The Real ◽

Digital Twin

Background: With significant advancement and demand for digital transformation, the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space. In this work, a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement. Methods: A finite element model (FEM) of the lumbar spine was firstly developed using computed tomography (CT) and constrained by the body movement which was calculated by the inverse kinematics algorithm. The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. Finally, a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement. Results: The evaluation results presented an agreement (R-squared > 0.8) between the real-time prediction from digital twin and offline FEM prediction. Conclusions: This approach provides an effective method of real-time planning and warning in spine rehabilitation.

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Research on Assembly Process Simulation of Construction Machinery Arm Based on Digital Twin

Engineering Proceedings ◽

10.3390/ecsa-8-11331 ◽

2021 ◽

Vol 10 (1) ◽

pp. 52

Author(s):

Yunxi Zhang ◽

Gangfeng Wang ◽

Dong Zhang ◽

Qi Zhang

Keyword(s):

Real Time ◽

Measurement Data ◽

Physical Space ◽

Feedback Mechanism ◽

Virtual Space ◽

Assembly Process ◽

Time Data ◽

Construction Machinery ◽

Digital Twin ◽

Assembly Simulation

The construction machinery arm is the key component of construction machinery to complete the operation task; its assembly link directly affects the product quality and operational performance of the whole machinery. To solve the problems of low assembly efficiency and the inability to fully reflect the assembly process indexes and product characteristics in the traditional construction machinery arm assembly, this paper studies assembly process modeling and simulation for the construction machinery arm based on assembly sensing data and digital twin. By extracting and processing the assembly resource data and field measurement data of the machinery arm, the assembly process information database under the digital twin environment is constructed, which lays the foundation for the virtual assembly model construction of the machinery arm. Through the real-time data interaction between virtual space and physical space, a complete assembly of digital twin spaces is formed. Finally, taking the assembly line of an excavator armed as an example, it is shown that the digital twin-based assembly simulation can monitor the assembly process in real-time and optimize its configuration to improve assembly efficiency. Therefore, an effective closed-loop feedback mechanism is constructed for the whole assembly process of the construction machinery arm.

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Digital Technologies in the Smart Production Management System

SHS Web of Conferences ◽

10.1051/shsconf/20219301024 ◽

2021 ◽

Vol 93 ◽

pp. 01024

Author(s):

Evgeniy Starikov ◽

Marina Evseeva ◽

Irina Tkachenko

Keyword(s):

Management System ◽

Production Management ◽

Manufacturing Sector ◽

Digital Technologies ◽

Digital Twin ◽

Twin Model ◽

Digital Twins ◽

Industrial Internet ◽

Production Management System ◽

Twin Models

The article analyzes the possibility of using such digital technologies as the Industrial Internet of Things (IIoT), Big Data and the creation of models of digital twins in the formation of intelligent management systems for "smart" production within the framework of the concept of digital transformation of the manufacturing sector Industry 4.0. The essence and features of these technologies, problematic aspects of their implementation in real production enterprises are considered. The concept of the functional structure of the digital production management system of a "smart" enterprise based on the digital twin model is proposed. The conclusion is made about the integrating role of technologies for the development and application of digital twin models in the construction of intelligent control systems for "smart" production.

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