Počet záznamů: 1  

A new treatment of transient grain growth

  1. 1.
    SYSNO ASEP0463998
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevA new treatment of transient grain growth
    Tvůrce(i) Svoboda, Jiří (UFM-A) RID, ORCID
    Fratzl, P. (DE)
    Zickler, G. A. (AT)
    Fischer, F. D. (AT)
    Celkový počet autorů4
    Zdroj.dok.Acta Materialia. - : Elsevier - ISSN 1359-6454
    Roč. 115, AUG (2016), s. 442-447
    Poč.str.6 s.
    Jazyk dok.eng - angličtina
    Země vyd.GB - Velká Británie
    Klíč. slovaGrain size distribution ; Grain growth ; Growth kinetics ; Thermodynamic modelling ; Numerical solution of integro-differential equations
    Vědní obor RIVBJ - Termodynamika
    CEPGA15-06390S GA ČR - Grantová agentura ČR
    Institucionální podporaUFM-A - RVO:68081723
    UT WOS000380083400045
    EID SCOPUS84977593421
    DOI10.1016/j.actamat.2016.05.020
    AnotaceThe grain radius R distribution ftmction f(R, t) with R-c(t) as critical grain radius is formulated, inspired by the Hillert self-similar solution concept, as product of 1/R-c(4) and of a shape function g(rho, t) as function of the dimension-free radius rho = R/R-c and time t, contrarily to the Hillert self-similar solution concept with time-independent g(rho). The evolution equations for R-c(t) as well as for g(rho, t) are derived, guaranteeing that the total volume of grains remains constant. The solution of the resulting integro-differential equations for R-c(t) and g(rho, t) is performed by standard numerical tools. Remarkable advantages of this semi-analytical concept are: (i) the concept is a deterministic one, (ii) its computational treatment is very efficient and (iii) the shape function g(rho, t) remains localized in a fixed interval of rho. The shape function g(rho, t) evolves towards the well-known Hillert self-similar distribution, which is demonstrated for two initial shape functions (one of them is triangular). Also a study on "nearly" self-similar distribution functions proposed as useful approximations of experimental data is presented.
    PracovištěÚstav fyziky materiálu
    KontaktYvonna Šrámková, sramkova@ipm.cz, Tel.: 532 290 485
    Rok sběru2017
Počet záznamů: 1  

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