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Computational weld-mechanics assessment of welding distortions in a large beam structure
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics, Solid Mechanics.ORCID iD: 0000-0002-0814-9980
KTH, School of Engineering Sciences (SCI), Engineering Mechanics. Cargotec Sweden AB Bromma Conquip, Kronborgsgrand 23, S-16446 Kista, Sweden..ORCID iD: 0000-0003-1296-3608
Khalifa Univ, Dept Mech Engn, POB 2533, Abu Dhabi, U Arab Emirates..
KTH, School of Engineering Sciences (SCI), Engineering Mechanics.ORCID iD: 0000-0003-4180-4710
2021 (English)In: Engineering structures, ISSN 0141-0296, E-ISSN 1873-7323, Vol. 236, article id 112055Article in journal (Refereed) Published
Abstract [en]

Unwanted distortions are typically observed in components after the welding process. Physical trial tests and extra post-treatments are being widely utilized in industries to minimize and correct the out of tolerance distortions. These methods are time-consuming and costly. There has been growing interest in digital tools which have great potential to minimize the physical test loops and corrections. In this study welding distortions analysis has been carried out on a large beam structure experimentally and numerically using computational welding mechanics (CWM) techniques such as the inherent strain (local?global) method and the shrinkage method, together with the lumping approach. The estimated distortions from the shrinkage together with lumping approaches were in good agreement with the experimental measurements and the computational time affordable. The inherent strain (local?global) method captured the trend of distortion with an underestimation of distortions. The accuracy of the estimated residuals stresses from the inherent strain (local?global) approach is higher than the one from shrinkage together with lumping approaches. Moreover, the effects of various welding process parameters (i.e. welding sequence, fixture, and weld pool size) on welding distortions were investigated. It is found that following the proper welding sequence could minimize the welding distortion of the beam structure. Increasing the constraints of fixtures can prevent welding distortion effectively and reducing weld pool size results in less welding distortions of the beam structure.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 236, article id 112055
Keywords [en]
Welding distortions, Large structure, Shrinkage, (local?global), Lumping
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:kth:diva-295729DOI: 10.1016/j.engstruct.2021.112055ISI: 000637628700001Scopus ID: 2-s2.0-85102636469OAI: oai:DiVA.org:kth-295729DiVA, id: diva2:1558662
Note

QC 20210531

Available from: 2021-05-31 Created: 2021-05-31 Last updated: 2022-10-19Bibliographically approved
In thesis
1. Computational weld mechanics - Increased accuracy in fatigue assessment, distortion and residual stress analysis
Open this publication in new window or tab >>Computational weld mechanics - Increased accuracy in fatigue assessment, distortion and residual stress analysis
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis work is concerned with the mechanical response of welded steel structures, which are distortions, residual stresses, and fatigue. The accuracy of fatigue assessment, distortion and residual stress analysis using Computational weld mechanics (CWM) is focused. The following studies are performed; welding simulations of residual stresses and distortions, weld quality estimation, evaluation of local stress-based fatigue strength assessment methods.

The following CWM methods: thermo-elastic-plastic, inherent strain (local-global), and sub structuring have been implemented both on T-type fillet weld and butt weld specimens to estimate angular distortion and residual stresses. In regard to large welded structures, the CWM methods using lumping method, together with prescribed temperature method, is implemented on a welded box structures to estimate welding residual stress state. The welding distortion analysis has been carried out on a large full scale beam structure experimentally and numerically using CWM techniques such as the inherent strain (local–global) method and the shrinkage method, together with the lumping approach. The accuracy of CWM methods is studied, and improvements are proposed.

A probabilistic model is proposed to estimate the probability of a targeted weld penetration depth. The uncertain process parameters are voltage, current, travel speed, and torch travel angle which were studied based on an experimental investigation. The weld penetration depth is evaluated from macrographs using a digital tool developed in MatLab. The epistemic measurement uncertainty related to this evaluation is quantified and incorporated in the probabilistic model.

Monte Carlo simulation is implemented to consider the weld geometry variations in the ENS methods. The stochastic variability in toe radius, toe angle and leg length are considered. The influence of weld geometry variations on the ENS methods using deterministic and stochastic SCF distribution is assessed.

The Hot Spot Stress (HSS), 1-mm stress (OM), Theory of Critical Distances (TCD), Stress Averaging (SA), and Effective Notch Stress (ENS) methods are evaluated for cover plates and T-joints subjected to axial and bending loading, in terms of accuracy and reliability. The evaluation is based on fatigue test data extracted from the literature and carried out in this study. The fatigue design curves applicable for T-joints under bending are discussed, which can be used in the TCD method and SA method.

The studies above contribute to increasing the accuracy in the estimation of residual stresses and distortions using simplified CWM methods, achieving a required reliability level in manufacturing, and improving accuracy and reliability of local stress-based fatigue assessment methods.  

Place, publisher, year, edition, pages
Sweden: KTH Royal Institute of Technology, 2022. p. 44
Series
TRITA-SCI-FOU ; 2022:50
Keywords
Computational weld mechanics, fatigue assessment, weld distortion, residual stress
National Category
Other Mechanical Engineering
Research subject
Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-320275 (URN)978-91-8040-367-2 (ISBN)
Public defence
2022-11-11, F3, Lindstedtsvägen 26, Stockholm, 09:00 (English)
Opponent
Supervisors
Note

Funders: Vinnova, Cargotec Sweden AB Bromma Conquip and SSAB

QC 221020

Available from: 2022-10-21 Created: 2022-10-19 Last updated: 2022-10-21Bibliographically approved

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Zhu, JinchaoKhurshid, MansoorBarsoum, Zuheir

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