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Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System

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Abstract

Modification of size, residual stress, and surface roughness have an enormous impact on a complex mechanical product’s final machining quality. Machine quality can be ensured using Digital Twin (DT) technology by checking the real-time machining process. The virtual–real separation display method is the most modern DT System (DTS). It results in the ineffective transmission of the necessary restricting the use of the DTS by processing data on-site technicians to support field processing. Augmented Reality (AR) monitoring the manufacturing process approach to solve this problem is proposed based on the DT. First, the dynamic multi-view for AR is built using data from multiple sources. Second, real-time monitoring of complex product’s intermediate processes incorporates AR to encourage communication between the users of the DT machining system. The outcome of the system can prevent errors that cannot be fixed. An application case for observing will be used to confirm the viability and the efficacy of the proposed method.

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This article is part of the topical collection “Research Trends in Communication and Network Technologies” guest edited by Anshul Verma, Pradeepika Verma and Kiran Kumar Pattanaik.

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Ashok, J., Kumar, N.A., Raj, D.W.P. et al. Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System. SN COMPUT. SCI. 4, 580 (2023). https://doi.org/10.1007/s42979-023-01956-1

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