Finite-element-based parametric study on welding-induced distortion of TIG-welded stainless steel 304 sheets

Deshpande, Aditya A.; Xu, Lei; Sun, Wei; McCartney, D.G.; Hyde, T H

doi:10.1177/0309324711398763

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…The FE modelling was carried out using full 3D brick elements available in the welding-specific FE software SYSWELD. 17–19 It is essential that the heat source definition is representative of the physical process if one seeks to be accurate. It determines the shape and size of the FZ and HAZ and ultimately affects thermal history predictions.…”

Section: Fe Modelling Of K-paw Of Thin Ti-6al-4v Structuresmentioning

confidence: 99%

Process modelling and optimization of keyhole plasma arc welding of thin Ti-6Al-4V

Sun

Mohammed²,

et al. 2014

The Journal of Strain Analysis for Engineering Design

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This article presents a comprehensive piece of research work focused on the development, validation and application of finite element modelling capability for the prediction and optimization of robotic keyhole plasma arc welding of Ti-6Al-4V thin structures. Experimental and computational investigations were carried out to characterize, develop, optimize and validate various aspects of the finite element modelling. The experimental investigations cover the determination of welding parameter envelopes using a robotic welding cell and the measurements of thermal history, distortion, residual stress and weld pool profile. The computational investigations include the development and validation of finite element models as well as the development and validation of a fully automated welding sequence optimization tool using a genetic algorithm approach. The work provides useful guidance and generic methodologies for optimum design of thin and complex lightweight structures and has formed a basis for the development of a framework on structural integrity assessment and component lifing of thin structures fabricated by welding. The optimization tool has significant potential to be conveniently modified to suit other optimization objectives and/or welding processes.

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Section: Fe Modelling Of K-paw Of Thin Ti-6al-4v Structuresmentioning

confidence: 99%

Process modelling and optimization of keyhole plasma arc welding of thin Ti-6Al-4V

Sun

Mohammed²,

et al. 2014

The Journal of Strain Analysis for Engineering Design

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“…A. A. Deshpande et al [16] showed a FE modelling of heat source and distortion in TIG-welded butt joint of SS304 sheets. The FE model was firstly validated by comparison with experimental macrographs of the weld bead, the thermal cycle and the residual distortion.…”

Section: Introductionmentioning

confidence: 99%

Finite element modelling and experimental validation of microstructural changes and hardness variation during gas metal arc welding of AISI 441 ferritic stainless steel

Caruso

Imbrogno

2022

Int J Adv Manuf Technol

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Grain growth and hardness variation occurring in high temperature Heat Affected Zone (HAZ) during the welding processes are two thermal dependant aspects of great interest for both academic and industrial research activities. This paper presents an innovative Finite Element (FE) model capable to describe the grain growth and the hardness decrease that occur during the Gas Metal Arc Welding (GMAW) of commercial AISI 441 steel. The commercial FE software SFTC DEFORM-3D TM was used to simulate the GMAW process and a user subroutine was developed including a physical based model and the Hall-Petch (H-P) equation to predict grain size variation and hardness change. The model was validated by comparison with the experimental results showing its reliability in predicting important welding characteristics temperature dependant. The study provides an accurate numerical model (i.e. user subroutine, heat source fitting, geometry,…) able to successfully predict the thermal phenomena (i.e. coarsening of the grains and hardening decrease) that occur in the HAZ during welding process of ferritic stainless steel.

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“…Numerical simulation techniques have also been developed to predict the residual stresses generated by welding and thus to identify the optimum welding sequence/ procedure to minimise the residual stress. [1][2][3][4][5][6][7] With the aid of the practical approach and the computational tool, the controlled and minimised residual stress can help to reduce manufacturing cost, improve component life and enable novel component design. However, fundamental understanding of the welding-induced residual stress distribution in typical welded structures, which provides baseline data to the practical technique and computational method, must be established.…”

Section: Introductionmentioning

confidence: 99%

Residual stress distribution in a Ti–6Al–4V T-joint weld measured using synchrotron X-ray diffraction

Zhang

Sun

et al. 2015

The Journal of Strain Analysis for Engineering Design

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Michael (2015) Residual stress distribution in a Ti-6Al-4V T-joint weld measured using synchrotron X-ray diffraction. The Journal of Strain Analysis for Engineering Design, 50 (7). pp. [445][446][447][448][449][450][451][452][453][454] Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/34567/1/NED-D-14-00493R1%20%28002%29.docx.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the University of Nottingham End User licence and may be reused according to the conditions of the licence. For more details see: http://eprints.nottingham.ac.uk/end_user_agreement.pdf A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk 1 Residual stress distribution in a Ti-6Al-4V T-joint weld measured using synchrotron X-ray diffraction AbstractTo improve the manufacturing quality of welded structures, to prevent failures at weld joints and to predict their lifetime, measurements of the residual stresses generated by welding in the structures are extremely useful. The residual stresses may reduce the component life due to phenomena that occur at low applied stresses such as brittle fracture, fatigue and stress corrosion cracking. Welded thin Ti-6Al-4V panel components are commonly found in aeroengine assemblies and the weld integrity and reliability are critical. In this work, the residual stress distributions in a welded thin Ti-6Al-4V T-joint were measured by the newly developed SScanSS program with synchrotron X-ray diffraction technique. The measurement performed in this study, which included a large number of measurement points, has mapped a complete stress field in a thin sheet T-joint weld. It has not only provided improved understanding of residual stress in such a joint but also filled the missing link between the residual stress obtained by numerical modelling and their validation. The results have shown that the longitudinal stresses play the most important role in the residual stress distribution over the flange and high tensile stresses appear in the region near the weld zone. The measured results were compared with numerically predicted results and these showed good agreement.

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Finite-element-based parametric study on welding-induced distortion of TIG-welded stainless steel 304 sheets

Cited by 15 publications

References 10 publications

Process modelling and optimization of keyhole plasma arc welding of thin Ti-6Al-4V

Process modelling and optimization of keyhole plasma arc welding of thin Ti-6Al-4V

Finite element modelling and experimental validation of microstructural changes and hardness variation during gas metal arc welding of AISI 441 ferritic stainless steel

Residual stress distribution in a Ti–6Al–4V T-joint weld measured using synchrotron X-ray diffraction

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