| Title |
Digital twins in manufacturing / |
| Authors |
Ostasevicius, Vytautas |
| DOI |
10.15388/DAMSS.13.2022 |
| ISBN |
9786090707944 |
| eISBN |
9786090707951 |
| Full Text |
|
| Is Part of |
DAMSS 2022: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022 / Lithuanian computer society, Vilnius university Institute of data science and digital technologies, Lithuanian academy of sciences.. Vilnius : Vilnius university press, 2022. p. 73.. ISBN 9786090707944. eISBN 9786090707951 |
| Abstract [eng] |
Digital twins, the Internet of Things (IoT) and the electronic, physical system are key concepts in the „Industry 4.0“ Digital twins use cloudconnected machine sensors to load real-time operational data, creating state-of-the-art virtual simulations of real-world machines, where IoT is the key to modelling large-scale digital twins. The term „digital twin“ covers virtual and physical replicas of a product, a machine, or an entire manufacturing process that are used as a specific test-bed for the process or product, where the changes made can be simulated before being implemented in real life. The desired result is the quality of the product, often related to the dynamics of the cutting tools, which could be assessed using virtual or physical twins and predicted by artificial intelligence (AI) methods. The paper presents detailed methodologies developed using artificial neural networks and machine learning, supported by process modelling in digital twins, based on technological solutions and data validation. |
| Published |
Vilnius : Vilnius university press, 2022 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
