An analytical model for constitutional supercooling-driven grain formation and grain size prediction

By M. Qian, Peng Cao, M. Easton, Stuart D. McDonald, D. StJohn. 2010

208 citations recorded by the source corpus.

Abstract Being able to predict the grain formation process and attendant grain size has been a central topic in solidification. Such an analytical model is presented for constitutional supercooling (CS)-driven grain formation with several simplifications. The model links the nucleation of new grains to the growth of a larger neighbouring grain. The average grain size ( d ¯ ) is thus determined by two components: the minimum growth (rcs) necessary to establish sufficient CS (ΔTn) for nucleating new grains, and the spatial mean distance ( a ¯ ) to the most potent available nucleants. Both spherical and planar growth fronts are considered, covering growth curvatures from small to infinite. Two distinct fundamental approaches are used, which result in identical descriptions of d ¯ , where d ¯ = a ¯ + D · Δ T n / ( v · Q ) (D is the diffusion coefficient, v is the growth velocity, Q is the growth restriction factor). The model is compared with literature data produced under various conditions and demonstrated on aluminium alloys as an example.

Subfields: Aerospace Engineering, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/894393d259538e914024125bbd0872e424e4d960

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. D. Qiu
  2. D. StJohn
  3. M. Easton
  4. M. Qian
  5. C. J. Todaro
  6. Milan Brandt
  7. Mingxing Zhang
  8. E. Karakulak

In Materials Chemistry

  1. M. Qian
  2. M. Easton
  3. D. StJohn
  4. D. Qiu
  5. C. J. Todaro
  6. Milan Brandt
  7. G. Song

Citations in the corpus