A study on the influence of clamping on welding distortion

Schenk, Thomas; Richardson, I.M.; Kraska, Martin; Ohnimus, S.

doi:10.1016/j.commatsci.2009.01.004

Cited by 87 publications

(43 citation statements)

References 8 publications

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“…The latest studies show, for example, that the final residual welding stresses depend strongly on the clamping conditions as well, especially the clamping time, the release time and the clamp preheating [5].…”

Section: Introductionmentioning

confidence: 98%

Welding stress relaxation effect in butt-jointed steel plates

Estefen¹,

Gurova²,

Werneck³

et al. 2012

Marine Structures

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Section: Introductionmentioning

confidence: 98%

Welding stress relaxation effect in butt-jointed steel plates

Estefen¹,

Gurova²,

Werneck³

et al. 2012

Marine Structures

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“…al. (5) conducts direct differentiation that is powerful but hard to implement in real problems; Voutchkov (6) constructs a surrogate model with 27 evaluations; Schenk (7) and Schewnk (8) work on the effect of fixturing on the distortion with a range of 10 to 14 evaluations; Tsai (9) develops joint rigidity method (JRM) including 171 evaluations. Tsai's number of evaluations is considerable but the time to finish the project is long.…”

Section: • Weld Joint;mentioning

confidence: 99%

Exploring the parametric design space to manage computational weld mechanics analyses using design of experiment

Asadi

Goldak

2013

IJPD

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Development of a computational weld mechanics (CWM) framework that automates multiple setups and evaluations is required to practically explore a design space by given design of experiment (DOE) matrices. Saving an expert-user's time to prepare several analyses and allocating CPUs to be utilized efficiently make this framework cost effective and time effective to manage designer-driven optimization and control application of CWM. A validation analysis is conducted in this framework to identify the CWM control vector that minimizes the difference between the computed and experimental data. Actual CWM problems with continuous and/or discontinuous parametric design spaces are solved in this framework to minimize weld distortion using derivative-free optimization algorithms and DOE matrices that become attractive in this framework.

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“…doi:10.1016/j.msea.2010.01.054 [17] have also tried to predict welding buckling distortion in a thin walled aluminium Tjoint. Schenk et al [18] studied the influence of clamping devices upon the welding distortions. Their findings show that there is a strong influence of clamps on the distortion, and that the distortion can be controlled to some extent by appropriate selection of the clamping conditions.…”

Section: Introductionmentioning

confidence: 99%