Digital twin-driven variant design of a 3C electronic product assembly line

Yan, Douxi; Wang, Dewen; Yang, Jiafeng; Zhang, Shenghui

doi:10.1038/s41598-022-07894-x

Cited by 11 publications

(5 citation statements)

References 40 publications

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“…Planning and design, virtual commissioning [19][20][21][22][23][24] Optimization of the layout and balance [22,25] Virtual commissioning [6,[26][27][28] Reconfiguration of production lines Production scheduling and process control [29][30][31][32] Scheduling decisions [8,[33][34][35][36][37][38][39][40][41] Optimization of processing parameters [2,[42][43][44][45][46][47][48][49] Route planning and visualization [7,50] Reducing energy consumption and the scrap rate Prediction, maintenance, and fault diagnosis [31,51,52] Fault diagnosis [46,53] Optimized maintenance planning [54] Predicting production plans [48,[55][56][57] Predicting energy consumption or operational performance…”

Section: Ref Commentmentioning

confidence: 99%

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Digital Twins for Discrete Manufacturing Lines: A Review

Feng,

Wan

2024

BDCC

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Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing. This article presents a statistical analysis of the literature related to the applications of DTs for discrete manufacturing lines, researches their development status in the areas of the design and improvement of manufacturing lines, the scheduling and control of manufacturing line, and predicting faults in critical equipment. The deployment frameworks of DTs in different applications are summarized. In addition, this article discusses the three key technologies of high-fidelity modeling, real-time information interaction methods, and iterative optimization algorithms. The current issues, such as fine-grained sculpting of twin models, the adaptivity of the models, delay issues, and the development of efficient modeling tools are raised. This study provides a reference for the design, modification, and optimization of discrete manufacturing lines.

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Section: Ref Commentmentioning

confidence: 99%

“…A genetic algorithm was used to improve the process's layout, which increased the utilization of equipment. To adapt the production line to the needs of different products, other research [6,[26][27][28] has explored the use of DTs to realize the reconfiguration of the production line.…”

Section: Design and Improvement Of Discrete Manufacturing Linesmentioning

confidence: 99%

Digital Twins for Discrete Manufacturing Lines: A Review

Feng,

Wan

2024

BDCC

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“…The research work verified the effectiveness of the Digital Twins method in intelligent manufacturing. Yan et al (2022) [44] presented an improved Digital-Twins-driven production line model that enabled simultaneous control of the physical entity and digital entity. The model accelerated the design flow of the production line through virtual-real linkage.…”

Section: Application Status Of Dtt In Ship-building Manufacturingmentioning

confidence: 99%

Digital Twins in the Marine Industry

Fridenfalk

2023

Electronics

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The ocean holds abundant resources, but the utilization of those resources for the marine economy presents a complex and dynamic industrial situation. Exploring sustainable development in this industry is of practical value, as it involves the rational use of marine resources while protecting the environment. This study provides an innovative review of the current application status of Digital Twins Technology (DTT) in various sectors of the marine industry, including the ship-building industry (SBI), Offshore Oil and Gas Industry, marine fishery, and marine energy industry. The findings reveal that DTT offers robust support for full life cycle management (LCM) in SBI, including digital design, intelligent processing, operation, and error management. Furthermore, this work delves into the challenges and prospects of DTT application in the marine industry, aiming to provide reference and direction for intelligent systems in the industry and guide the rational development and utilization of marine resources in the future.

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“…As a key enabling technology for solving the problem of information physics integration in intelligent manufacturing, digital twins have received widespread attention and research in the academic community. Yan et al (Yan et al , 2022) developed a variant design solution based on digital dual-drive production lines, which achieves parallel control of the physical and digital worlds through simulation reality linkage, accelerating the design process. Xia et al (2021) proposed a data-driven approach to construct automated intelligent manufacturing systems using digital methods.…”

Section: Related Workmentioning

confidence: 99%

Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly

Mu,

Chen,

Zhou

et al. 2023

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Purpose This paper aim to solve the problem of low assembly success rate for 3c assembly lines designed based on classical control algorithms due to inevitable random disturbances and other factors,by incorporating intelligent algorithms into the assembly line, the assembly process can be extended to uncertain assembly scenarios. Design/methodology/approach This work proposes a reinforcement learning framework based on digital twins. First, the authors used Unity3D to build a simulation environment that matches the real scene and achieved data synchronization between the real environment and the simulation environment through the robot operating system. Then, the authors trained the reinforcement learning model in the simulation environment. Finally, by creating a digital twin environment, the authors transferred the skill learned from the simulation to the real environment and achieved stable algorithm deployment in real-world scenarios. Findings In this work, the authors have completed the transfer of skill-learning algorithms from virtual to real environments by establishing a digital twin environment. On the one hand, the experiment proves the progressiveness of the algorithm and the feasibility of the application of digital twins in reinforcement learning transfer. On the other hand, the experimental results also provide reference for the application of digital twins in 3C assembly scenarios. Originality/value In this work, the authors designed a new encoder structure in the simulation environment to encode image information, which improved the model’s perception of the environment. At the same time, the authors used the fixed strategy combined with the reinforcement learning strategy to learn skills, which improved the rate of convergence and stability of skills learning. Finally, the authors transferred the learned skills to the physical platform through digital twin technology and realized the safe operation of the flexible printed circuit assembly task.

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Digital twin-driven variant design of a 3C electronic product assembly line

Cited by 11 publications

References 40 publications

Digital Twins for Discrete Manufacturing Lines: A Review

Digital Twins for Discrete Manufacturing Lines: A Review

Digital Twins in the Marine Industry

Using digital twin to enhance Sim2real transfer for reinforcement learning in 3C assembly

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