2022
DOI: 10.1002/nme.6915
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A finite addition of matter elements method for modeling and solution of an SLM thermal problem by a multiscale method

Abstract: In this paper, we are interested in flexible modeling and performing solution of transient thermal Selective Laser Melting Problems. For this, we first introduce a Finite Addition of Matter Elements Method (FAMEM) to generate any wished finite sequence of thermal problems, defined in additively constructed domains. Second, we use the Multiscale Arlequin Frame-work to develop a three-level Arlequin weakstrong formulation of each problem of the finite sequence. Two Arlequin patches are used in the latter to loca… Show more

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Cited by 2 publications
(2 citation statements)
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“…To reduce the computational costs, an Arlequin [2,3] based method is presented. To deal with the multi-scale of the problem, the Arlequin method uses two distinct meshes: A coarse mesh of the whole domain and a fine mesh that moves along with the heating source to capture the high thermal gradients near the melt pool.…”
Section: Introductionmentioning
confidence: 99%
“…To reduce the computational costs, an Arlequin [2,3] based method is presented. To deal with the multi-scale of the problem, the Arlequin method uses two distinct meshes: A coarse mesh of the whole domain and a fine mesh that moves along with the heating source to capture the high thermal gradients near the melt pool.…”
Section: Introductionmentioning
confidence: 99%
“…Among the additive manufacturing technologies, selective laser melting (SLM) possesses high laser power and small laser spot radius, and has become the most widespread, flexible, and economic method within additive manufacturing [ 1 , 2 ]. However, the SLM process is a multi-factor coupling process with powder, laser beam and substrates, and so on, which is a complex metallurgical process involving a moving molten pool, rapid non-equilibrium solidification and solid-phase transformation [ 3 , 4 , 5 ]. During the process, a large amount of thermal residual stresses will be generated which can affect the fracture toughness, crack growth behavior and fatigue performance of the materials [ 6 , 7 , 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%