A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line
By Hao Zhang, Qiang Liu, Xin Chen, Ding Zhang, Jiewu Leng. IEEE Access, 2017
370 citations recorded by the source corpus.
Various new national advanced manufacturing strategies, such as Industry 4.0, Industrial Internet, and Made in China 2025, are issued to achieve smart manufacturing, resulting in the increasing number of newly designed production lines in both developed and developing countries. Under the individualized designing demands, more realistic virtual models mirroring the real worlds of production lines are essential to bridge the gap between design and operation. This paper presents a digital twin-based approach for rapid individualized designing of the hollow glass production line. The digital twin merges physics-based system modeling and distributed real-time process data to generate an authoritative digital design of the system at pre-production phase. A digital twin-based analytical decoupling framework is also developed to provide engineering analysis capabilities and support the decision-making over the system designing and solution evaluation. Three key enabling techniques as well as a case study in hollow glass production line are addressed to validate the proposed approach.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/f7f4f47b3ef2a2428754f46bb3f7a6bf0c765425
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In Industrial and Manufacturing Engineering
Citations in the corpus
- Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues (2020, methodology): “[76] Factory Production line Proprietary 3D model Ethernet + OPC Digital Twin to support decision-making over the system design and solution evaluation”
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “Recently, DTs have also been adopted in various industries for purposes including product design [20], production line design [21], DT shop floors [22], production process optimization [23], and prognosis and health management [24].”
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- A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives (2019, background): “Tao and Zhang (2017) constructed a shop–floor DT and discussed key components towards a trend of new paradigm directed towards smart and connected shop–floors.”
- Digital twin paradigm: A systematic literature review (2021, methodology): “The digital twin in design stage is designed to generate the digital product design before the real execution (Q. Liu et al., 2018), (H. Zhang et al., 2017).”
- Digital Twin in Industry: State-of-the-Art (2019, methodology): “A case study on the glass production line was used to validate the effectiveness of the approach [37].”
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- Digital Twin: Enabling Technologies, Challenges and Open Research (2020, methodology): “The Digital Twin can be learning and monitoring simultaneously, as well as applying machine and deep learning algorithms [33] [34] [35] [36].”
- Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop (2018, methodology): “The comparison between digital twin-driven MCPS with traditional mode has been partly addressed in our former study (Leng and Jiang 2017a; Zhang et al. 2017b).”