Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line
Abstract
:1. Introduction
2. Research Development of Digital Twin Technology
2.1. Definitions
2.2. Applications of the Digital Twin for Intelligent Manufacturing
3. Application Framework of Digital Twin-Driven Ship Intelligent Manufacturing System
3.1. Physical Layer
3.2. Model Layer
3.3. Data Layer
3.4. System Layer
3.5. Application Layer
4. Case Study: Pipe Machining Production Line
4.1. Background
4.2. System Design and Implementation
4.3. Modeling Construction of the Pipe Machining Production Line
4.4. Information Perception, Data Acquisition, and Real-Time Mapping
4.5. Results and Discussion
4.6. Implementation Effect
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Application-Level | References | Descriptions |
---|---|---|
Aircraft | [20] | Real-time monitoring of aircraft utilizing an ultra-high-fidelity model, the digital twin model was used to evaluate the health status and predicting the life of the aircraft structure. |
Product | [26,27,28] | The digital twin model was used to customize and produce personalized products for achieving rapid product design and improving production efficiency. |
Manufacturing equipment/production line | [29,30,31,32,33,34,35,36] | Digital twin models of different devices were established to realize automatic control parameter visualization and real-time status monitoring, diagnosis, controlling, and optimizing of the running modes of real equipment for interoperability between digital twin models, more accurately planning and optimizing the operation of a real production line by building and simulating the digital twin of the production line. |
Manufacturing process/Manufacturing shop | [37,38,39] | The digital twin model of the product was applied to automatically plan the machining, welding, and assembly process, consequently optimizing the production resources consequently. The virtual workshop twin model was built, which can improve the efficiency of workshop manufacturing equipment and optimize the production process. |
Serial Number | Model Name | Real-Time Data-Driven | Virtual Service | Equipment Position |
---|---|---|---|---|
1 | CNC machining equipment | Flange processing parameters | Flange machining control procedure | Automatic machining unit |
2 | Labeling machine | Print and label enable signal | Support adjustment control program | Pipe automatic labeling unit |
3 | Arc welding robot | Joint motion angle and angular velocity. Pipe outside diameter, length, wall thickness, material. Nominal diameter, thickness, and height of flange. | Welding robot control program | Robot work cell |
4 | Assembly and the transfer robot | Automatic loading and unloading control program of pipe | ||
5 | Servo guide | Robot operating position control program | ||
6 | Conveyor belts | Logistics command | Roller type logistics conveying control program | Logistics equipment unit |
7 | Cutting machine | Pipe cutting command, pipe material, cutting parameters | Automatic center clamp control program, automatic cut off control program | Automatically cutting unit |
8 | Stereoscopic warehouse | Warehouse distribution order | Inbound management, inventory management, and outbound management control procedures. | Stereoscopic warehouse system |
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Wu, Q.; Mao, Y.; Chen, J.; Wang, C. Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line. J. Mar. Sci. Eng. 2021, 9, 338. https://doi.org/10.3390/jmse9030338
Wu Q, Mao Y, Chen J, Wang C. Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line. Journal of Marine Science and Engineering. 2021; 9(3):338. https://doi.org/10.3390/jmse9030338
Chicago/Turabian StyleWu, Qingcai, Yunsheng Mao, Jianxun Chen, and Chong Wang. 2021. "Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line" Journal of Marine Science and Engineering 9, no. 3: 338. https://doi.org/10.3390/jmse9030338
APA StyleWu, Q., Mao, Y., Chen, J., & Wang, C. (2021). Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line. Journal of Marine Science and Engineering, 9(3), 338. https://doi.org/10.3390/jmse9030338