A digital twin-based layout optimization method for discrete manufacturing workshop

Guo, Hongfei; Zhu, Yingxin; Zhang, Yu; Ren, Yaping; Chen, Minshi; Zhang, Rui

doi:10.1007/s00170-020-06568-0

Cited by 53 publications

(19 citation statements)

References 20 publications

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“…Digital twin technology requires a high level of real-time data, and in most occasions automated data collection is used, which relies on the use of devices with good communication conditions and various types of sensors. Data interaction between physical entities and virtual models is the key to the implementation of digital twin technology, but there is little research related to the interaction and collaboration between machines and services ( Zhuang et al, 2017 ; Guo et al, 2021 ; Ruzsa, 2021 ). Verner et al developed a system of reinforcement learning scenarios in which humanoid robots learn the protocols required to lift weights of unknown mass by exploring state space.…”

Section: Related Workmentioning

confidence: 99%

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Liu

Tao

et al. 2022

Front. Bioeng. Biotechnol.

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Mobile robots have an important role in material handling in manufacturing and can be used for a variety of automated tasks. The accuracy of the robot’s moving trajectory has become a key issue affecting its work efficiency. This paper presents a method for optimizing the trajectory of the mobile robot based on the digital twin of the robot. The digital twin of the mobile robot is created by Unity, and the trajectory of the mobile robot is trained in the virtual environment and applied to the physical space. The simulation training in the virtual environment provides schemes for the actual movement of the robot. Based on the actual movement data returned by the physical robot, the preset trajectory of the virtual robot is dynamically adjusted, which in turn enables the correction of the movement trajectory of the physical robot. The contribution of this work is the use of genetic algorithms for path planning of robots, which enables trajectory optimization of mobile robots by reducing the error in the movement trajectory of physical robots through the interaction of virtual and real data. It provides a method to map learning in the virtual domain to the physical robot.

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Section: Related Workmentioning

confidence: 99%

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Liu

Tao

et al. 2022

Front. Bioeng. Biotechnol.

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“…And then, the study of digital twin entered a period of rapid development [27,28], especially the study on digital twin of product. Some researchers have attempted to fill the gap between product design and manufacturing based on digital twin [29,30], extending the investigation and application of digital twin to manufacturing domain [31][32][33][34][35]. In addition, Tao et al [36] reviewed state-of-the-art digital twins in the industry.…”

Section: Related Workmentioning

confidence: 99%

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

Huang

Wang

Dong

et al. 2022

Int J Adv Manuf Technol

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Product 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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“…The digital twin consists of three parts [10], namely the physical layer, the virtual layer and the information layer. The physical layer is a real space where people, machines, and materials are assembled, which is always equipped with various subsystems and deployed sensors, each with different functions that jointly support the operation of the machines and sensors that collect and transmit equipment and environmental data; the virtual layer includes the operation and evolution of the virtual system and consists of multidimensional models, including geometric, information, control, and behavioral models.…”

Section: A Digital Twin-based Simulation and Prediction Framework For Rmsmentioning

confidence: 99%

Digital Twin-Based Reconfiguration Time Point Prediction Method for Reconfigurable Manufacturing Systems

Liu

Wang

Zhou

et al. 2022

J. Phys.: Conf. Ser.

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In the operation cycle of reconfigurable manufacturing system, the system needs to be continuously reconstructed to adapt to the changes of market demand. Aiming at the problem of when to reconstruct the reconfigurable manufacturing system, combined with digital twinning, a prediction method of reconfiguration time point of reconfigurable manufacturing system is proposed. Firstly, the factors affecting the processing capability and function of reconfigurable manufacturing system are analyzed quantitatively, the optimization objective is to minimize the part completion time and reconfiguration cost, and the multi-objective cuckoo algorithm is used to solve it; Then, the digital twin model of reconfigurable machine tool and reconfigurable production line is constructed, so that the state of reconfigurable manufacturing system can be truly mapped in virtual space, and the simulation and prediction framework of reconfigurable manufacturing system is constructed; Secondly, the initial scheme configuration is generated according to the production demand, the set threshold is optimized and simulated, and the simulation sample data is analyzed to obtain the appropriate reconstruction time; Finally, an engineering example is given to verify the feasibility and effectiveness of the method.

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A digital twin-based layout optimization method for discrete manufacturing workshop

Cited by 53 publications

References 20 publications

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

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

Digital Twin-Based Reconfiguration Time Point Prediction Method for Reconfigurable Manufacturing Systems

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