2009
DOI: 10.1007/s10665-009-9292-0
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Adjoint-based optimization of thermo-fluid phenomena in welding processes

Abstract: A method is developed for optimizing the complex thermo-fluid phenomena that occur in welding processes where fluid convection is present. A mathematical model of a typical welding problem which includes conservation of mass, momentum and energy, and assumes that the process is steady in the frame of reference moving with the heat source is considered. An optimal control problem in which the heat input from the heat source is determined to ensure a prescribed geometry of the weld is formulated and solved. The … Show more

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Cited by 21 publications
(22 citation statements)
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“…The factor is given by the Fresnel absorption function F introduced in (4) which depends on the angle of incidence of the laser beam. Scaling of (32) and (33) proves (19)- (21). The kinematic boundary condition (22) can be deduced analogously as the one for Γ M by…”
Section: Model Derivationmentioning
confidence: 68%
See 1 more Smart Citation
“…The factor is given by the Fresnel absorption function F introduced in (4) which depends on the angle of incidence of the laser beam. Scaling of (32) and (33) proves (19)- (21). The kinematic boundary condition (22) can be deduced analogously as the one for Γ M by…”
Section: Model Derivationmentioning
confidence: 68%
“…Optimization and optimal control of multi-phase problems governed by Navier-Stokes equations with free boundaries or phase transitions have been applied by, e.g., [1,6,15,21]. Since already a single numerical simulation of such a free boundary problem is a difficult issue, optimal control is a very challenging task.…”
Section: Introductionmentioning
confidence: 99%
“…The gradients actually used in minimization algorithm (14), namely the Sobolev gradients ∇ H 1 J and ∇ H 1 J α , can be obtained from (20) and (21) by identifying (16)- (17) with (19), and noting the arbitrariness of the shape perturbations ζ ∈ H 1 (0, L). Then, after integrating by parts and using the boundary conditions, we arrive at…”
Section: Gradient-based Minimization Approachmentioning
confidence: 99%
“…The temperature satisfies also the following specific boundary conditions on ∂ s (t) (see Refs. [3,8,9])…”
Section: Setting Of the Problemmentioning
confidence: 99%