Digital Twin Platform
Title: Digital Twin Platform
DNr: NAISS 2023/22-458
Project Type: NAISS Small Compute
Principal Investigator: Mohammad Rad <radmo@chalmers.se>
Affiliation: Chalmers tekniska högskola
Duration: 2023-04-26 – 2023-11-01
Classification: 20307
Keywords:

Abstract

System-level design space exploration for complex products is limited in design qualifications. Relying on physical tests makes the qualification costly and relying on digital simulations makes it inaccurate. When designing a complex product, being able to predict the system's final performance with chosen configurations, even roughly, can enable wide design space explorations with lower costs on prototyping, qualifying, and optimizing. There is a lack of understanding of how design knowledge at the component level can be leveraged to assess performance at the system level.