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

被引:0
|
作者
Ashok J. [1 ]
Kumar N.A. [2 ]
Raj D.W.P. [3 ]
Ashok J. [1 ]
Bhushan A.V. [4 ]
Edem S. [5 ]
机构
[1] Department of Electronic and Communication Engineering, V. S. B. Engineering College, Tamil Nadu, Karur
[2] Department of Electronics and Communication Engineering, School of Engineering & Technology, Mohan Babu University, Andhra Pradesh, Tirupati
[3] School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru
[4] Department of Business Analytics, Kirloskar Institute of Management, Karnataka, Harihar
[5] Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad
关键词
Augmented reality; Digital twin; Effectiveness; Machining technology; Monitoring application;
D O I
10.1007/s42979-023-01956-1
中图分类号
学科分类号
摘要
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. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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