Chen, Z.; Li, Y.; Ma, G.; Wang, Y.; Qin, B. Research on the Digital Twin System of the Centring Process for High-Precision Lens. Appl. Sci.2023, 13, 12988.
Chen, Z.; Li, Y.; Ma, G.; Wang, Y.; Qin, B. Research on the Digital Twin System of the Centring Process for High-Precision Lens. Appl. Sci. 2023, 13, 12988.
Chen, Z.; Li, Y.; Ma, G.; Wang, Y.; Qin, B. Research on the Digital Twin System of the Centring Process for High-Precision Lens. Appl. Sci.2023, 13, 12988.
Chen, Z.; Li, Y.; Ma, G.; Wang, Y.; Qin, B. Research on the Digital Twin System of the Centring Process for High-Precision Lens. Appl. Sci. 2023, 13, 12988.
Abstract
In the manufacturing of optical lenses, the lack of digital monitoring and inspection for centring processing not only results in product consistency not being guaranteed but also leads to inefficiency in processing. A centring processing digital twin system is proposed to address the problems of low virtual visualization and insufficient monitoring capability of centring processing of high-precision optical components. The layered architecture of the system is determined based on the five-dimensional model of the digital twin, coupled with a dimension-driven geometric model and a physical model that integrates data and turning mechanisms to improve the fidelity and interactivity of the virtual model of the centring lathe. The fusion of heterogeneous data from multiple sources in the centring machining process at the semantic and physical levels is realized by using an information model and an OPC UA-based data interaction method. The VMD-GRU method based on feature fusion is used to monitor the key components of the centring lathe. Finally, the feasibility and effectiveness of the proposed method are verified by a case study of the development of a digital twin system for centring lathe, which provides a reference for the digitization and intelligence of the machining process of high-precision optical components.
Keywords
Digital twin; Optical components manufacturing; Lens Centring Process; Visual monitoring
Subject
Engineering, Mechanical Engineering
Copyright:
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