Digital Twin of Continuously Variable Transmission for Predictive Modeling of Dynamics and Performance Optimization

Orlov, Stepan; Burkovski, Lidia

doi:10.1007/978-3-030-64430-7_9

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The subject of the study [14] is research on how to construct a digital twin and what kind of information is needed to ensure its realistic behaviour. In that context, the DT was designed in the work by Orlov and Burkovski [15]. They addressed the problems of mathematical modelling, the choice of a suitable simulation method, and the architecture of software implementing the functionality of the digital twin.…”

Section: Introductionmentioning

confidence: 99%

Utilising Digital Twins to Bolster the Sustainability of Logistics Processes in Industry 4.0

Rigó,

Fabianová,

Lokšík

et al. 2024

Sustainability

View full text Add to dashboard Cite

Industry 4.0, characterized by the integration of advanced technologies, has allowed industries to optimise operations, reduce waste, and minimize environmental impact. Digitalization has become a cornerstone for achieving sustainability goals, and one of the key enablers of Industry 4.0 is the digital twin. The digital twin provides real-time insights and simulations to optimise processes. Organizations can thus optimise not only their operations but also contribute to a more resilient global supply chain. The aim of the paper is to present a comprehensive methodology for implementing the digital twin principle in the Tecnomatix environment. The Tecnomatix model is connected to Siemens PLC SIMATIC S7-1200 utilizing the OPC UA (Unified Architecture) method and through KEPServerEX, V6.14.263.0. The described approach enables continuous monitoring of critical indicators to optimise production efficiency and address downtime issues.

show abstract

Section: Introductionmentioning

confidence: 99%