Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412
The continuous need to develop Industry 4.0 branches has led to a position where highly sophisticated and multi-layer smart robotic systems are guiding the way to future manufacturing. This study aims to build a connectivity and system intelligent layer on top of a co-bot integrated Computer Numeric...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Estonian Academy Publishers
2021-11-01
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| Series: | Proceedings of the Estonian Academy of Sciences |
| Subjects: | |
| Online Access: | https://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-407-412_20211102062421.pdf |
| _version_ | 1818856519058325504 |
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| author | Tavo Kangru Madis Moor Tauno Otto Jüri Riives Kristo Vaher |
| author_facet | Tavo Kangru Madis Moor Tauno Otto Jüri Riives Kristo Vaher |
| author_sort | Tavo Kangru |
| collection | DOAJ |
| description | The continuous need to develop Industry 4.0 branches has led to a position where highly sophisticated and multi-layer smart robotic systems are guiding the way to future manufacturing. This study aims to build a connectivity and system intelligent layer on top of a co-bot integrated Computer Numerical Control (CNC) based manufacturing cell. The connectivity layer is used to bypass all the data collected from machines to the upper intelligent layer and vice versa. When raw data arrives in the intelligent layer, it will be converted to information and again to knowledge for reflection to be sent back to the cell. Machine-to-Machine Communication and Digital Twin process for optimization are used for data conversions. This study is a downscale example of the Cyber-Physical System (CPS) for further development of the existing robot cells. |
| first_indexed | 2024-12-19T08:25:47Z |
| format | Article |
| id | doaj.art-f968816e006843adaf26ea65288a0d7f |
| institution | Directory Open Access Journal |
| issn | 1736-6046 1736-7530 |
| language | English |
| last_indexed | 2024-12-19T08:25:47Z |
| publishDate | 2021-11-01 |
| publisher | Estonian Academy Publishers |
| record_format | Article |
| series | Proceedings of the Estonian Academy of Sciences |
| spelling | doaj.art-f968816e006843adaf26ea65288a0d7f2022-12-21T20:29:18ZengEstonian Academy PublishersProceedings of the Estonian Academy of Sciences1736-60461736-75302021-11-0170440741210.3176/proc.2021.4.0610.3176/proc.2021.4.06Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412Tavo Kangru0Madis Moor1Tauno Otto2Jüri Riives3Kristo Vaher4Institute of Technology, TTK University of Applied Sciences, Pärnu mnt 62, 10135 Tallinn, Estonia; Tavo.Kangur@taltech.eeInstitute of Technology, TTK University of Applied Sciences, Pärnu mnt 62, 10135 Tallinn, Estonia; Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaInstitute of Technology, TTK University of Applied Sciences, Pärnu mnt 62, 10135 Tallinn, Estonia; Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaThe continuous need to develop Industry 4.0 branches has led to a position where highly sophisticated and multi-layer smart robotic systems are guiding the way to future manufacturing. This study aims to build a connectivity and system intelligent layer on top of a co-bot integrated Computer Numerical Control (CNC) based manufacturing cell. The connectivity layer is used to bypass all the data collected from machines to the upper intelligent layer and vice versa. When raw data arrives in the intelligent layer, it will be converted to information and again to knowledge for reflection to be sent back to the cell. Machine-to-Machine Communication and Digital Twin process for optimization are used for data conversions. This study is a downscale example of the Cyber-Physical System (CPS) for further development of the existing robot cells.https://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-407-412_20211102062421.pdfindustry 4.0industrial robotco-botmodern manufacturing. |
| spellingShingle | Tavo Kangru Madis Moor Tauno Otto Jüri Riives Kristo Vaher Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 Proceedings of the Estonian Academy of Sciences industry 4.0 industrial robot co-bot modern manufacturing. |
| title | Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 |
| title_full | Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 |
| title_fullStr | Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 |
| title_full_unstemmed | Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 |
| title_short | Modern robot-integrated manufacturing cell according to the needs of Industry 4.0; pp. 407–412 |
| title_sort | modern robot integrated manufacturing cell according to the needs of industry 4 0 pp 407 412 |
| topic | industry 4.0 industrial robot co-bot modern manufacturing. |
| url | https://kirj.ee/wp-content/plugins/kirj/pub/proc-4-2021-407-412_20211102062421.pdf |
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