2019
DOI: 10.1615/intjmultcompeng.2019030591
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Prediction of Distribution of Microstructural Parameters Inmetallic Materials Described by Differential Equations With Recrystallization Term

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Cited by 9 publications
(10 citation statements)
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“…The assumptions above, especially (F3),(F4), are inspired by the real-life model describing evolution of dislocation density, see [8,11,18,19,20,22] for detailed description and discussion of the DDE involved. In Lemma 3.1 below we prove that under the assumptions (F1)-(F3) the equation (1.1) has unique solution z = z(t) on the whole interval [−τ, (n + 1)τ ].…”
Section: Problem Formulationmentioning
confidence: 99%
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“…The assumptions above, especially (F3),(F4), are inspired by the real-life model describing evolution of dislocation density, see [8,11,18,19,20,22] for detailed description and discussion of the DDE involved. In Lemma 3.1 below we prove that under the assumptions (F1)-(F3) the equation (1.1) has unique solution z = z(t) on the whole interval [−τ, (n + 1)τ ].…”
Section: Problem Formulationmentioning
confidence: 99%
“…Metal phase change model. For another numerical experiments we consider a modified model describing a phase change of metallic materials from [20,Chapter 3.3], see also [8,11,18,19,22]. It can be described by delay differential equation due to delay in the response to the change in processing conditions.…”
Section: 3mentioning
confidence: 99%
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“…Full coupling was applied, what means that flow stress calculated by the IVM model was returned to the constitutive law in the FE model. The results of these simulations are presented by Morkisz et al (2019) and are not repeated here. Explicit finite difference solution of equation ( 4) is performed in each time step of the FE method and, in consequence, this approach does not influence the computing costs of the FE code.…”
Section: Mean Fieldmentioning
confidence: 99%