Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Real-time data assimilation in welding operations using thermal imaging and accelerated high-fidelity digital twinning

Pereira Álvarez, Pablo, Kerfriden, Pierre ORCID: https://orcid.org/0000-0002-7749-3996, Ryckelynck, David and Robin, Vincent 2021. Real-time data assimilation in welding operations using thermal imaging and accelerated high-fidelity digital twinning. Mathematics 9 (18) , 2263. 10.3390/math9182263

[thumbnail of mathematics-09-02263-v2.pdf] PDF - Published Version
Available under License Creative Commons Attribution.

Download (945kB)

Abstract

Welding operations may be subjected to different types of defects when the process is not properly controlled and most defect detection is done a posteriori. The mechanical variables that are at the origin of these imperfections are often not observable in situ. We propose an offline/online data assimilation approach that allows for joint parameter and state estimations based on local probabilistic surrogate models and thermal imaging in real-time. Offline, the surrogate models are built from a high-fidelity thermomechanical Finite Element parametric study of the weld. The online estimations are obtained by conditioning the local models by the observed temperature and known operational parameters, thus fusing high-fidelity simulation data and experimental measurements.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Advanced Research Computing @ Cardiff (ARCCA)
Engineering
Additional Information: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Publisher: MDPI
ISSN: 2227-7390
Date of First Compliant Deposit: 6 October 2021
Date of Acceptance: 7 September 2021
Last Modified: 01 Aug 2024 13:37
URI: https://orca.cardiff.ac.uk/id/eprint/144627

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics