Skip to main navigation Skip to search Skip to main content

Development of a material model for predicting extreme deformation and grain refinement during cold spraying

  • The University of Osaka

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

Fusion-based additive manufacturing techniques such as selective laser melting, electron beam freeform fabrication cause solidification problems such as grain coarseness and high porosity. As a new technique, cold spraying (CS) can overcome such melting-induced drawbacks. In this study, a material model using dislocation dynamics was developed specifically for the CS process for describing the following five nanosecond-scale physical phenomena: strain hardening, normal-range strain rate hardening, ultra-high strain rate hardening, thermal softening and grain size evolution. A single Cu microparticle impact test was conducted, and a good agreement between experimental and model-predicted microparticle deformations was observed, indicating high model accuracy. The corresponding finite element model was established, and the individual effects of the above phenomena were discussed in detail to show that material deformation is mainly controlled by ultra-high strain rate hardening while jetting is controlled by thermal softening. Additionally, both simulated and actual grain size distributions indicated that grain refinement occurs only near the microparticle-substrate interface (mainly at the interface edge). Thus, the newly developed model could accurately reproduce the dynamic deformation behaviors of impacting particles and correctly predict grain refinement (particularly due to dynamic recrystallization).

Original languageEnglish
Pages (from-to)326-339
Number of pages14
JournalActa Materialia
Volume199
DOIs
StatePublished - 15 Oct 2020

Keywords

  • Cold spray
  • Extreme deformation
  • Grain refinement
  • Material model
  • Ultra-high strain rate

Fingerprint

Dive into the research topics of 'Development of a material model for predicting extreme deformation and grain refinement during cold spraying'. Together they form a unique fingerprint.

Cite this