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Accuracy of computational welding mechanics methods for estimation of angular distortion and residual stresses
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. Cargotec Sweden AB Bromma Conquip, Kronborgsgrand 23, S-16446 Kista, Sweden..ORCID iD: 0000-0003-1296-3608
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering. Chalmers Univ Technol, Chalmersplatsen 4, S-41296 Gothenburg, Sweden..ORCID iD: 0000-0003-4180-4710
2019 (English)In: Welding in the World, ISSN 0043-2288, E-ISSN 1878-6669, Vol. 63, no 5, p. 1391-1405Article in journal (Refereed) Published
Abstract [en]

This study estimates the angular distortion and residual stresses due to welding using the following methodologies: thermo-elastic-plastic, inherent strain (local-global), and substructuring on two types of welded joints (T-type fillet weld and butt weld). The numerical results are compared with the experimental measurements and these methodologies are evaluated in terms of accuracy and computational time. In addition, the influence of welding sequence on distortion and transverse residual stresses has been studied numerically by implementing the thermo-elastic-plastic and inherent strain (local-global) methods on the T-type fillet weld. For the T-type fillet weld, the estimated angular distortion from these methods is much the same and in good agreement with the experimental measurements. For the butt weld, the angular distortion calculated by the inherent strain (local-global) method is largely underestimated. In order to gain a better understanding of where the underestimation of angular distortion in the inherent strain (local-global) method comes from, the study discusses the influence of block length and welding speed on angular distortion. It is found that for long weld length or slow welding speed, activating the plastic strain gradually by dividing the weld bead into an appropriate number of blocks can reduce the level of underestimation of angular distortion.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2019. Vol. 63, no 5, p. 1391-1405
Keywords [en]
Angular distortion, Residual stresses, Thermo-elastic-plastic, Inherent strain, Substructuring
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:kth:diva-259424DOI: 10.1007/s40194-019-00746-9ISI: 000482459300020Scopus ID: 2-s2.0-85067672268OAI: oai:DiVA.org:kth-259424DiVA, id: diva2:1353931
Note

QC 20190924

Available from: 2019-09-24 Created: 2019-09-24 Last updated: 2024-03-18Bibliographically 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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