A review of digital twin intelligent assembly technology and application for complex mechanical products

Chen, Tao; Li, Chunhui; Xiao, Hui; Zhu, Zhihui; Wang, Guangyue

doi:10.1007/s00170-023-11823-1

Cited by 5 publications

(2 citation statements)

References 115 publications

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“…Research related to the creation and augmentation of digital twins is very intensive and covers several areas such as: product design [3,4], assembly processes [5], mechanical manufacturing processes and through additive technologies [6,7], mechanical machining [8][9][10], CNC machine tools [11,12], cutting tools [13], materials [14], tribological phenomena [15] and others.…”

Section: Introductionmentioning

confidence: 99%

Technological Transfer Under the Conditions of Digitalization of Products and Processes

Iatchevici,

Toca,

Nitulenco

et al. 2024

J. Eng. Sci.

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Technological development is largely determined by technology transfer, which is conditioned by the absorption capacity of new technologies, and new technologies are deeply digitized technologies. Success depends on creating basic digital skills, both technical and human, developing digital infrastructure, ensuring accessibility to digital technologies. In the context of Industry 4.0 technologies, the efforts to design products with pronounced physical-cybernetic elements are important, but especially those aimed at creating digital twins, gradually moving from intermediate variants of digital model and digital shadow. Digital twin creation models refer to the life cycle with emphasis on its stages. The paper proposes a digital twin model based on the technological function, in which the modification of the properties is manifested by restructuring the internal functions of the operator, operand and interface. The central place in this model belongs to the interface, which reflects the multitude of physical-technical processes at different scales of macro, meso, micro analysis characteristic of objects and processes in machine building.

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Section: Introductionmentioning

confidence: 99%

Technological Transfer Under the Conditions of Digitalization of Products and Processes

Iatchevici,

Toca,

Nitulenco

et al. 2024

J. Eng. Sci.

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“…The assembly time accounts for more than 40% of the manufacturing time of the whole wind turbine [4]. The development of artificial intelligence provides opportunities for assembly semantic processing and assembly sequence recommendations, which focus on analyzing and planning assembly sequences more effectively [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Knowledge Graph-Based Approach for Assembly Sequence Recommendations for Wind Turbines

Liu,

Zhou,

et al. 2023

Machines

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There are various forms of assembly data sources for wind turbines, which contributes to the lack of a unified and standardized expression. Moreover, the reusability of historical assembly data is low, which leads to the poor reasoning ability of a new product assembly sequence. In this paper, we propose a knowledge graph-based approach for assembly sequence recommendations for wind turbines. First, for the multimodal data (text in process manual, image of tooling, and three-dimensional (3D) model) of assembly, a multi-process assembly information representation model is established to express assembly elements in a unified way. In addition, knowledge extraction methods for different modal data are designed to construct a multimodal knowledge graph for wind turbine assembly. Further, the retrieval of similar assembly process items based on the bidirectional encoder representation from transformers joint graph-matching network (BERT-GMN) is proposed to predict the assembly sequence subgraphs. Also, a Semantic Web Rule Language (SWRL)-based assembly process items inference method is proposed to automatically generate subassembly sequences by combining component assembly relationships. Then, a multi-objective sequence optimization algorithm for the final assembly is designed to output the optimal assembly sequences. Finally, taking the VEU-15 wind turbine as the object, the effectiveness of the assembly process information modeling and part multi-source information representation is verified. Sequence recommendation results are better quality compared to traditional assembly sequence planning algorithms. It provides a feasible solution for wind turbine assembly to be optimized from multiple objectives simultaneously.

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Digital twin-driven assembly accuracy prediction method for high performance precision assembly of complex products

Yi,

Zhang,

Liu

et al. 2024

Advanced Engineering Informatics

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A review of digital twin intelligent assembly technology and application for complex mechanical products

Cited by 5 publications

References 115 publications

Technological Transfer Under the Conditions of Digitalization of Products and Processes

Technological Transfer Under the Conditions of Digitalization of Products and Processes

A Knowledge Graph-Based Approach for Assembly Sequence Recommendations for Wind Turbines

Digital twin-driven assembly accuracy prediction method for high performance precision assembly of complex products

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