Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System
- Title
- Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System
- Creator
- Ashok J.; Kumar N.A.; Raj D.W.P.; Ashok J.; Bhushan A.V.; Edem S.
- Description
- Modification of size, residual stress, and surface roughness have an enormous impact on a complex mechanical products final machining quality. Machine quality can be ensured using Digital Twin (DT) technology by checking the real-time machining process. The virtualreal 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 products 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.
- Source
- SN Computer Science, Vol-4, No. 5
- Date
- 2023-01-01
- Publisher
- Springer
- Subject
- Augmented reality; Digital twin; Effectiveness; Machining technology; Monitoring application
- Coverage
- Ashok J., Department of Electronic and Communication Engineering, V. S. B. Engineering College, Tamil Nadu, Karur, India; Kumar N.A., Department of Electronics and Communication Engineering, School of Engineering & Technology, Mohan Babu University, Andhra Pradesh, Tirupati, India; Raj D.W.P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ashok J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bhushan A.V., Department of Business Analytics, Kirloskar Institute of Management, Karnataka, Harihar, India; Edem S., Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India
- Rights
- Restricted Access
- Relation
- ISSN: 2662995X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Ashok J.; Kumar N.A.; Raj D.W.P.; Ashok J.; Bhushan A.V.; Edem S., “Design and Implementation of Smart Manufacturing Systems Through AR for Data-Driven Digital Twin System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/14105.