Numerical Study of Combination Parameters for Particle Impact Velocity and Temperature in Cold Spray View Full Text


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Article Info

DATE

2007-12

AUTHORS

H. Katanoda, M. Fukuhara, N. Iino

ABSTRACT

Numerical simulations of gas/particle flows of cold spray are performed for N2 and He, respectively, to investigate the usefulness of the two material-independent combination parameters derived from the equations of particle motion and temperature. The first combination parameter is the particle-diameter multiplied by the material density, which governs the particle velocity. The second one is the squared particle-diameter multiplied by the material density and specific heat, which affects the particle temperature. In the numerical simulation, the materials of the spray particle selected are WC-12Co, Cu and Ti. The numerical results show that the maximum impact velocity of particle is obtained, when the first combination parameter takes specific value regardless of the material type. Furthermore, it is shown that the particle diameter and its temperature corresponding to the maximum impact velocity can be graphically estimated by using the two combination parameters for any powder-materials normally used for the thermal spray. More... »

PAGES

627-633

References to SciGraph publications

  • 2005-09. Optimal design of a novel cold spray gun nozzle at a limited space in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2006-12. Numerical simulation of the cold gas dynamic spray process in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2002-12. Cold spray nozzle mach number limitation in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2006-06. Production of titanium deposits by cold-gas dynamic spray: Numerical modeling and experimental characterization in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 2002-12. An analysis of the cold spray process and its coatings in JOURNAL OF THERMAL SPRAY TECHNOLOGY
  • 1996-11. Investigation on onset of shock-induced separation in SHOCK WAVES
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    http://scigraph.springernature.com/pub.10.1007/s11666-007-9087-7

    DOI

    http://dx.doi.org/10.1007/s11666-007-9087-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009375476


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