On improving predictions of texture evolution using processing path model

J. Bouhattate, D. Li, H. Garmestani, Said Ahzi, M. Khaleel

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The processing path model based on the conservation principle in the orientation space allows us to optimize processing path from a given initial state to a desired final microstructure for polycrystalline materials. This model uses texture coefficients in spherical harmonics expansion as descriptors to represent the texture state of polycrystalline materials. In this work, the effect of increasing the number of texture coefficients used in the series expansion (decided by lmax) on the prediction accuracy of texture evolution is investigated.

Original languageEnglish
Pages (from-to)538-540
Number of pages3
JournalMaterialwissenschaft und Werkstofftechnik
Volume36
Issue number10
DOIs
Publication statusPublished - 1 Oct 2005
Externally publishedYes

Fingerprint

textures
Textures
Polycrystalline materials
Processing
predictions
space orientation
spherical harmonics
coefficients
series expansion
conservation
Conservation
microstructure
Microstructure
expansion

Keywords

  • Materials design
  • Microstructure
  • Processing path
  • Property
  • Texture evolution

ASJC Scopus subject areas

  • Materials Science(all)
  • Biotechnology
  • Biochemistry

Cite this

On improving predictions of texture evolution using processing path model. / Bouhattate, J.; Li, D.; Garmestani, H.; Ahzi, Said; Khaleel, M.

In: Materialwissenschaft und Werkstofftechnik, Vol. 36, No. 10, 01.10.2005, p. 538-540.

Research output: Contribution to journalArticle

Bouhattate, J. ; Li, D. ; Garmestani, H. ; Ahzi, Said ; Khaleel, M. / On improving predictions of texture evolution using processing path model. In: Materialwissenschaft und Werkstofftechnik. 2005 ; Vol. 36, No. 10. pp. 538-540.
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