2006
DOI: 10.1002/nme.1614
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Efficient thermo-mechanical model for solidification processes

Abstract: SUMMARYA new, computationally efficient algorithm has been implemented to solve for thermal stresses, strains, and displacements in realistic solidification processes which involve highly nonlinear constitutive relations. A general form of the transient heat equation including latent-heat from phase transformations such as solidification and other temperature-dependent properties is solved numerically for the temperature field history. The resulting thermal stresses are solved by integrating the highly nonline… Show more

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Cited by 81 publications
(67 citation statements)
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“…[11] and [12]) are transformed into two integrated equations by invoking the backward Euler method and are solved by using a specialized Newton-Raphson method [10,13,84] The updated global equilibrium equations then are solved using the nonlinear procedures in the commercial software ABAQUS v. 6.9-1. [17] This approach has been implemented successfully [16,57] and has been validated by matching temperature and stress in the semianalytical solidification problem posed by Weiner and Boley. [63] The modeled domain, shown in Figure 5, uses 35,100 4-node linear axisymmetric finite elements for the upper part, lower part, ZrO 2 layer, and steel melt.…”
Section: E Other Thermal and Mechanical Propertiesmentioning
confidence: 99%
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“…[11] and [12]) are transformed into two integrated equations by invoking the backward Euler method and are solved by using a specialized Newton-Raphson method [10,13,84] The updated global equilibrium equations then are solved using the nonlinear procedures in the commercial software ABAQUS v. 6.9-1. [17] This approach has been implemented successfully [16,57] and has been validated by matching temperature and stress in the semianalytical solidification problem posed by Weiner and Boley. [63] The modeled domain, shown in Figure 5, uses 35,100 4-node linear axisymmetric finite elements for the upper part, lower part, ZrO 2 layer, and steel melt.…”
Section: E Other Thermal and Mechanical Propertiesmentioning
confidence: 99%
“…[64,65] Computational modeling evolved to more complex behavior including coupling the heat conduction and mechanical equilibrium equations with creep [66,67] and elasticviscoplastic behavior. [16,[68][69][70][71][72] Koric and Thomas and coauthors implemented the Kozlowski III model for austenite [13] and the Zhu model for delta-ferrite [68] into both implicit [16] and explicit [73] integration schemes to model the high-temperature behavior of steel. These models have been applied to predict crack formation during continuous casting.…”
Section: Previous Thermal-mechanical Modelsmentioning
confidence: 99%
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“…This made the numerical analysis of the refined model extremely difficult even on the latest high performance computing platforms. Within each quasistatic time step, a system of nonlinear equations was linearized and solved with a NewtonRaphson (NR) iteration scheme [30,31] in Abaqus which required several linear solver solutions or global equilibrium iterations. Due to the complexity of this problem (material and geometric nonlinearities, three-dimensional problem involving multiple layers, and complex boundary conditions), the direct multifrontal solver in Abaqus/Standard with hybrid parallelization was used.…”
Section: Numerical Implementation and Computational Challenges: Simulmentioning
confidence: 99%