Impeding Nucleation for More Significant Grain Refinement View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-06-10

AUTHORS

Zhongyun Fan, Feng Gao, Bo Jiang, Zhongping Que

ABSTRACT

Grain refinement has been a topic of extensive research due to its scientific and technological importance as a common industrial practice for over seven decades. The traditional approach to grain refinement has been to reduce nucleation undercooling by the addition of potent nucleant particles. Here we show both theoretically and experimentally that more significant grain refinement can be achieved through increasing nucleation undercooling by using impotent nucleant particles. Based on the concept of explosive grain initiation, this new approach is illustrated by grain initiation maps and grain refinement maps and validated by experiments. It is anticipated that this new approach may lead to a profound change in both nucleation research and industrial practice well beyond metal casting. More... »

PAGES

9448

References to SciGraph publications

  • 2012-11-08. An Epitaxial Model for Heterogeneous Nucleation on Potent Substrates in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2005-07. Grain refinement of magnesium alloys in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 1993-02. Study of the mechanism of grain refinement of aluminum after additions of Ti- and B-containing master alloys in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2018-09-27. Effect of Substrate Chemistry on Prenucleation in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2012-11-08. Grain Refinement of Magnesium Alloys: A Review of Recent Research, Theoretical Developments, and Their Application in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • 2018-04-17. Prenucleation Induced by Crystalline Substrates in METALLURGICAL AND MATERIALS TRANSACTIONS A
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-020-66190-8

    DOI

    http://dx.doi.org/10.1038/s41598-020-66190-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1128343135

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/32523047


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