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author:

Zheng, Yunzhai (Zheng, Yunzhai.) [1] | Zhu, Jianfeng (Zhu, Jianfeng.) [2] | Cao, Pingli (Cao, Pingli.) [3] | Li, Qiang (Li, Qiang.) [4]

Indexed by:

EI PKU CSCD

Abstract:

The plasma-spray coating was physically modeled, empirically approximated and numerically simulated in Monte Carlo method, based on scanning electron microscopy images of its microstructures. The impact of the synthesis conditions, including but not limited to the size and velocity of impinging particles, nozzle-substrate distance, and nozzle s scanning speed, on the microstructures of the coatings was investigated. The simulated results show that the size and speed of impinging droplets and nozzle-substrate distance significantly affect the surface roughness and porosity of the coatings with randomly distributed pores. For example, as the size and velocity of the sprayed powder increased, the surface roughness and porosity of the coatings decreased, being weakly affected at a velocity faster than 160 m/s. An increase of the nozzle-substrate distance also reduced the surface roughness and porosity.

Keyword:

Coatings Intelligent systems Microstructure Monte Carlo methods Nozzles Plasma jets Plasma spraying Porosity Powder coatings Scanning electron microscopy Sprayed coatings Spray nozzles Surface roughness

Community:

  • [ 1 ] [Zheng, Yunzhai]School of Materials Science and Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhu, Jianfeng]School of Materials Science and Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Cao, Pingli]School of Materials Science and Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Li, Qiang]School of Materials Science and Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [li, qiang]school of materials science and engineering, fuzhou university, fuzhou, china

Email:

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Source :

Journal of Vacuum Science and Technology

ISSN: 1672-7126

Year: 2014

Issue: 12

Volume: 34

Page: 1304-1309

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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