Digital twin-driven centering process optimization for high-precision glass lens

Shiu, Shiau-Cheng; Tang, Ke-Er; Liu, Chunwei

doi:10.1016/j.jmsy.2023.01.009

Cited by 10 publications

(3 citation statements)

References 27 publications

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“…Increased the productivity, line-balancing and equipment utilization, respectively [ 16 ]. Shiu et al developed a digital twin-driven (DTD) centering process optimization system specifically designed for high-precision glass lenses, reducing process development time while improving yield rate by 20% [ 17 ]. Pei et al proposed a digital-twin-based quality monitoring method for the production line.…”

Section: Introductionmentioning

confidence: 99%

Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines

Zhang,

Liu,

Song

et al. 2024

Sensors

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With the rapid development of novel energy vehicles, power generation, photovoltaics, and other industries, power electronic devices have gained considerable attention. Insulated-gate bipolar transistors (IGBTs) have been widely used in those fields. With the emergence of intelligent manufacturing concepts such as Germany’s “Industry 4.0” and China’s “Made in China 2025”, conventional manufacturing which needs to be upgraded with higher efficiency and yield is rapidly pivoting toward digitalization and intelligence. The digital twin methodology has been extensively used in various industries for constructing virtual models of physical entities, facilitating real-time data interconnection to reduce costs and improve efficiency. This study proposes a modular intelligent IGBT production line based on the digital twin. Real-time data are transmitted from a physical line to a digital line for storage and analysis. The digital line is visualized, and an intelligent management platform containing multiple functions is developed. Additionally, a process simulation database is established to obtain the optimal process parameters. Numerous quality issues that can arise during each process of IGBT packaging are addressed using a problem-solving approach based on the digital twin methodology. Consequently, this digital-twin-based IGBT intelligent production line effectively enhances yield rates and efficiency. IGBT modules with various packaging forms such as ACF, ACE, and ACD are manufactured.

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Section: Introductionmentioning

confidence: 99%

Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines

Zhang,

Liu,

Song

et al. 2024

Sensors

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“…aerospace [6][7][8], precision instruments [9], etc. It is also widely used for manufacturing workshops, such as intelligent machine tools [10][11][12], intelligent workshops [13][14][15], equipment health management [16][17][18], and human-computer interaction [19,20].…”

Section: Introductionmentioning

confidence: 99%

Fusion method for digital twin model of a production line

Liu,

Wang,

Huang

et al. 2024

Int J Adv Manuf Technol

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Digital twins have attracted more and more attention in the past few years. To put digital twins into practice, a large number of modeling approaches have been proposed, vast amounts of data have been collected, and their accuracy has been improving. However, current research has paid insufficient attention to the multi-scale features of the shop floor, which hinders the effective application of the digital twin shop floor. To address the problem of how to achieve effective multilevel and multi-dimensional fusion of digital twin models with production process data, this paper first proposes a structured data modeling framework for sorting out all the production process data collected in real-time; and then proposes a multi-level fusion framework for supporting the fusion of real-time data and twin models from the unit level to the system level. The method judges the parsed received data streams through the full-factor semanticization framework, and at the same time fuses the parsed data streams with the constructed full-factor twin model from multiple dimensions and layers, forming a twin model fusion method with real-time data streams as the blood and twin model as the skeleton. Finally, the micro-assembly-based production shop environment is selected as a case study to verify the correctness and feasibility of the proposed data grooming framework, data, and model fusion method.

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“…Eric J. Tuegel [17] proposed a high-fidelity digital twin model of aircraft structure, integrating the calculation of structural deflection and temperature response to flight conditions to predict the integrity and lifetime of aircraft structure. Ke Feng et al [18] developed a digital twin-driven intelligent health management method for monitoring and evaluating the gear surface degradation process, assessing the surface wear of gearboxes, revealing the gear wear propagation characteristics, and achieving an accurate prediction of the RUL of gearboxes.…”

Section: Introductionmentioning

confidence: 99%

Research on the Digital Twin System of the Centring Process for High-Precision Lens

Chen,

Li,

et al. 2023

Applied Sciences

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In the manufacturing process of optical lenses, the lack of monitoring and detection of the central processing process leads to low processing efficiency and difficulty in ensuring product consistency. We propose a digital twin system for alignment processing to address this issue. The system adopts a hierarchical architecture based on the digital twin five-dimensional model, aiming to improve the fidelity and interactivity of the virtual model of the centring lathe by combining dimension-driven virtual models with integrated data and physical models of the turning mechanism. We have successfully achieved the semantic and physical fusion of multi-source heterogeneous data during centring processing using information models and OPC UA-based data interaction methods. In addition, we adopted the VMD-GRU method based on feature fusion for real-time monitoring of critical components of the centring lathe. Finally, we validated the feasibility and effectiveness of the digital twin system for the central lathe through development examples. The application of this system is expected to promote the digital and intelligent development of high-precision optical component processing, providing references including references for related manufacturing fields. In summary, we propose a digital monitoring and detection system for the centring process of optical lens manufacturing. The application of this system will help improve product consistency and processing efficiency while reducing risks and costs in the manufacturing process.

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Digital twin-driven centering process optimization for high-precision glass lens

Cited by 10 publications

References 27 publications

Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines

Digital-Twin-Driven Intelligent Insulated-Gate Bipolar Transistor Production Lines

Fusion method for digital twin model of a production line

Research on the Digital Twin System of the Centring Process for High-Precision Lens

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