Volume 6: Materials and Fabrication, Parts a and B 2009
DOI: 10.1115/pvp2009-78113
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Weld Distortion Control Methods and Applications of Weld Modeling

Abstract: Computational weld modeling is challenging because many of the processes of welding are highly nonlinear. Material melts and re-solidifies, very high transient thermal gradients are experienced, non-linear temperature dependent plastic straining and phase transformations can occur, among other sources of nonlinearity. Moreover, for weld modeling to have practical advantages in industrial production, computational solution times must be manageable since an optimum weld design of large, complex fabrications requ… Show more

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Cited by 3 publications
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“…Adanya distorsi yang melekat pada proses pengelasan menuntut ditemukan cara pengelasan yang benar. Salah satu motode yang dapat diaplikasikan untuk meminimalkan distorsi pengelasan adalah dengan menerapkan welding sequence (urutan pengelasan) [3]. Selama ini praktek urutan pengelasan bilah roda traktor didasarkan pengalaman empirik pemilik bengkel atau pekerja bengkel/ industri tersebut.…”
Section: Pendahuluanunclassified
“…Adanya distorsi yang melekat pada proses pengelasan menuntut ditemukan cara pengelasan yang benar. Salah satu motode yang dapat diaplikasikan untuk meminimalkan distorsi pengelasan adalah dengan menerapkan welding sequence (urutan pengelasan) [3]. Selama ini praktek urutan pengelasan bilah roda traktor didasarkan pengalaman empirik pemilik bengkel atau pekerja bengkel/ industri tersebut.…”
Section: Pendahuluanunclassified
“…Obviously, it is an overall aim to perform numerical simulations faster and easier than to carry out welding experiments, especially when dealing with large welded structures [4]. The welding simulation procedure can be implemented in full-scale modeling frameworks describing the entire manufacturing process including steel rolling, cold forming, thermal cutting, and machining [5]. An additional tremendous advantage of computational welding mechanics is comparing different variants in the design phase, while performing subsequent analyses on virtual specimens, such as buckling [6][7][8] or fatigue analysis, is also a potential.…”
Section: Introductionmentioning
confidence: 99%