2013
DOI: 10.1155/2013/716383
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An Implicit Algorithm Based on Continuous Moving Least Square to Simulate Material Mixing in Friction Stir Welding Process

Abstract: An implicit iterative algorithm, based on the continuous moving least square (CMLS), is developed to simulate material mixing in Friction Stir Welding (FSW) process. Strong formulation is chosen for the modeling of the mechanical problem in Lagrangian framework to avoid the drawback of numerical integration. This algorithm is well adapted to large deformations in the mixing zone in the neighborhood of the welding tool. We limit ourselves to bidimensional viscoplastic problem to show the performance of the prop… Show more

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Cited by 12 publications
(8 citation statements)
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“…The objective in the future is to apply this approach on other type of shells, such as FGM cylindrical Shells [15,19]. In addition, we will try to develop meshless models [20][21][22][23][24][25][26][27] based on TSDT theory for the analysis of FGM plates. Comparison of natural frequencies between a laminated P-FGM plate and a simple P-FGM plate using the power law.…”
Section: Discussionmentioning
confidence: 99%
“…The objective in the future is to apply this approach on other type of shells, such as FGM cylindrical Shells [15,19]. In addition, we will try to develop meshless models [20][21][22][23][24][25][26][27] based on TSDT theory for the analysis of FGM plates. Comparison of natural frequencies between a laminated P-FGM plate and a simple P-FGM plate using the power law.…”
Section: Discussionmentioning
confidence: 99%
“…It is noted that the critical parameters of the pulsation ωc$$ {\omega}_c $$ and of the Strouhal number Stc$$ S{t}_c $$, for which a Hopf bifurcation point is detected by the indicator, are expressed by: ωc=ωfalse(ηhprefix≈0false);1emStc=Dωc2πud.$$ {\omega}_c=\omega \left({\eta}^h\approx 0\right);\kern1em S{t}_c=\frac{D{\omega}_c}{2\pi {u}_d}. $$ In these tests, we adopt the direct dynamic simulation by the high order mesh‐free algorithm proposed in References 35‐38 to confirm the results obtained by the presented indicator, as well as a comparison with those of references available in the literature in each case.…”
Section: Numerical Applicationmentioning
confidence: 99%
“…It is shown in the next section that RLS algorithm which needs more computational power for the present problem benefits in terms of minimizing the MSE which drops from 152 to just over 1 for the testing data. There are certainly some emerging algorithms [30][31][32][33][34] and conventional techniques of algorithm manipulation [35,36] with varying degree of complexity which can lead to the potential expansions of this work.…”
Section: Computational Complexitymentioning
confidence: 99%