Comparison between Finite Elements simulation of residual stress and Computer Vision measurements in a welding TIG process
1
University of Perugia
2
University Guglielmo Marconi (Rome)
Submission date: 2020-11-19
Final revision date: 2021-03-05
Acceptance date: 2021-04-12
Online publication date: 2021-04-13
Publication date: 2021-04-13
Diagnostyka 2021;22(2):29-37
KEYWORDS
TOPICS
ABSTRACT
In this work, residual stresses arising after an industrial TIG welding process on an aerospace grade part are investigated. The customer demand for high product resistance and high dimensional accuracy calls for the control of the welding process and the minimisation of the residual stresses. Dimensional check of manufactured parts was traditionally performed in a quality room by means of coordinate measuring machines (CMM). For parts larger than 1 meter, this operation shows several issues, as the handling and the need for large and expensive measuring devices. These needs can be fulfilled by an innovative method that, through continuous dimensional check, allows to optimise the welding process parameters. This method is built on a post-process measurement of part shrinkage based on a Computer Vision technique, the outcome being a 3D reconstruction of the actual part. Moreover, the whole procedure is low-cost and time saving, as it can be performed with a conventional camera mounted on a tripod. A Finite Element Model (FEM) of the TIG process on the selected sample was developed. The result of the numerical model was compared with the Computer Vision-based post-process measurement. The simulation scenario predicted by Finite Element Analysis agrees with measurements.
ACKNOWLEDGEMENTS
The authors want to thank NCM Spa enterprise (Via A. Vici, 34 – Z.I. La Paciana, 06034 Foligno PG, Italy) for the support given in terms of professional knowledge and for having made available its areas and instrumentation.
FUNDING
This paper is the result of the project implementation: “NCM-PRO: Innovative integrated control in Numerical Control Manufacturing PROcesses”, funded by the POR-FESR 2014-2020 – Regional Operative Programme – European Fund for Regional Development of Umbria Region (Italy).
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